He is known for his work on Tai-Chi Master (1993), Fist of Legend … To achieve motion detection that is both reliable and ac... Haze removal is the process by which horizontal obscuration is eliminated from hazy images captured during inclement weather. He was very good in the 2017 U-18 Baseball World Cup, allowing only one hit and one unearned run in 4 2/3 IP (3 BB) while fanning nine. I am actively looking for motivated students to join my group! This article proposes a novel smart car demonstration platform, with a focus on the intuitive paradigm of human?computer interaction (HCI). Breast cancer (BC) is the second leading cause of cancer-related death among women worldwide. Contrast enhancement is a crucial image processing step for image quality control. I’d be happy to talk more in office hours. In poor weather conditions, s cf (j ) is assumed to be free from λ and t ∈ [0, 1], ... Specifying a single patch size for images with possibly complex and heterogeneous content might lead to a non-ideal fit for their different regions. I direct the Multimedia BigData System (BigMMS) Lab. In this paper, a novel framewo... Advanced wireless imaging sensors and cloud data storage contribute to video surveillance by enabling the generation of large amounts of video footage every second. Sign up here! Impulse noise corruption in digital images frequently occurs because of errors generated by noisy sensors or communication channels, such as faulty memory locations in devices, malfunctioning pixels within a camera, or bit errors in transmission. See publications for Po-Hao Chen, MD, MBA. Traffic surveillance systems use video communication over real-world networks with limited bandwidth, which frequently suffers because of either network congestion or unstable bandwidth. He is currently an Associate Professor with the Department of Computer Science and Engineering, Yuan Ze University, Taoyuan, Taiwan. Presently, the intelligent transportation system is managed effectively, using one of the key technologies called wireless traffic video surveillance system. The non-local means (NLM) algorithm computes the weighted average of the difference between two local patches centred at each neighbour and the centred pixel, which is adapted for the adaptive mean filter of noise suppression. This paper proposes a novel video stabilization approach that is based on the shortest spanning path clustering algorithm for effective and reliable estimation of t... Haze removal is an important image restoration technology that aims to remove annoying haze particles from images. Moreover, danger-level analysis is vital for automotive safety systems and driving assistance applications. The proposed method first uses the inverse-distance weighting-based prediction to estimate noise-recovered pixels. The authors also developed an android-based application with smart sensors [161][162][163]. This paper proposes a single image enhancement algorithm based on human visual system. Outdoor images captured during haze weather conditions generally exhibit visibility degradation. In this paper, we propose a simple and effective background re-initialization method that detects sudden luminance change effectively. (Disclaimer: This search is powered by PubMed, a service of the U.S. National Library of Medicine. Hao Chen biography. Bo-Hao Chen (Member, IEEE) received the Ph.D. degree in electronic engineering from the National Taipei University of Technology, Taipei, Taiwan, in 2014. Restoration of visibility in hazy images is the first relevant step of information analysis in many outdoor computer vision applications. The user module stores and provides carpool data, stores and provides states of individual carpool car, submits a carpool request and comprises a save our soul (SOS) system. However, images enhanced by conventional contrast enhancement methods can have negative effects on the performance of image quality control. Search for: Categories. The visibility of outdoor images captured in inclement weather will become degraded due to the presence of haze, fog, mist, and so on. Intelligent vehicles use advanced driver assistance systems (ADASs) to mitigate driving risks. Zhengjue Wang, Bo Chen*, Hao Zhang and Hongwei Liu, Variational Probabilistic Generative Framework for Single Image Super-Resolution, Signal Processing, 156, 92-105, 2019. Bin Xu, Bo Chen*, Jinwei Wan, Hongwei Liu, and Lin Jin, Target-Aware Recurrent Attentional Network for Radar HRRP Target Recognition, Signal Processing, 155, 268-280, 2019. Image dehazing is a crucial image processing step for outdoor vision systems. To achieve reliable and accurate motion detection in video streams acquired from either jitter or static cameras in real-world scenarios, a novel motion detection approach based on grey relational analysis is proposed in this paper, which integ... Usage-based-insurance is an emerging automobile insurance service in which the driver premium is set individually for each policyholder. Hao Ming Chen received his B.Sc, and M.Sc from National Taiwan University in 2002 and 2004, and his Ph.D. in Chemistry from National Taiwan University in 2008, and then was a postdoctoral fellow at Department of Chemistry and Physics in National Taiwan University. Bo-Hao Chen, Ph.D. Chen Bo Hao A River Runs Through It (2020) December 11, 2020 by Zhang Wei. My primary research area is computer vision, closely integrated with deep learning, autonomous vehicles, knowledge representation/reasoning, and human-computer interaction. Our team won the second place in the competition of Radar Target Recognition. Chulin Xie*, Chuxin Wang*, Bo Zhang, Hao Yang, Dong Chen, Fang Wen In Submission : DBA: Distributed Backdoor Attacks against Federated Learning Chulin Xie, Keli Huang, Pin-Yu Chen, Bo Li International Conference on Learning Representations (ICLR) 2020 : Attack-Resistant Federated Learning with Residual-based Reweighting "Recent advances in sensing applications of two-dimensional transition metal dichalcogenide nanosheets and First, the image is transformed by the proposed Luminance Perception procedure from the spa... Power-constrained image contrast enhancement is a fundamental step for improving the battery life of modern consumer devices with embedded emissive-display panels, such as organic light-emitting diodes (OLEDs). He was also Asura's Successor preceding Tang San. Such analysis is essential for monitoring driver performance. Sandstorms present a particularly challenging condition, images captured during sandstorms often exhibit color-shift effects due to inadequate spectrum absorption. Overall: A River Runs Through It is a Chinese Romance, Drama (2020). It was first aired on Astro Wah Lai Toi in Malaysia in 2012. Bo-Hao Chen is on Facebook. The first concept is to apply D. Tax's one-class classifier as a steerable descriptor of such a complex volumetric structure. The automated detection of moving objects is an essential task for any intelligent transportation system. However, computation of the weighted average of the local patch difference is very time consuming. View 54. A personalized automobile insurance mechanism presents challenges that are different from those presented by the general driving behaviors analyzed by driver assistance applications. Chen Hao, as one of the heroines, in the Pink Ladies, won the heart of the cine-goers with her superb acting in the role of a sensuous woman given to exploiting the males. View Bin Qi, a Xin Li, a Liang Sun, a Bo Chen, a Hao Chen, a Chenchen Wu, a Haibo Zhang * abc and Xiaohai Zhou* ab Author affiliations * Corresponding authors This article proposes a novel hybrid background subtraction technique to solve this problem. Xiao-qin Zuo, Chan-juan Qu, and Bo-chen Yao provided assistance and suggestions during the submission process. With TV films like the 2003 “Demi-Gods and Semi-Devils”, Chen Hao became a roaring success. I am an Associate Professor in the Department of Computer Science and Engineering at Yuan Ze University. View BO HAO CHEN’S profile on LinkedIn, the world's largest professional community. Feature extraction and visual attention modeling of captured images are often used in outdoor imaging systems; however, corruption of images by rain streaks poses difficulties that restrict the development of these techniques. Generally students doing research in the BigMMS lab will be expected to commit significant time (40+ hours per week) to their project. Images captured during sandstorm conditions frequently feature degraded visibility and undesirable color cast effects. The dark channel prior has been considered to be an efficient dehazing technique in recent years. Sudden changes in illumination often occur in real world scenarios and may cause considerable difficulties in modeling backgrounds for the state-of-the-art background subtraction methods. Dec. 2020: Congratulations! Automated motion detection has become an increasingly important subject in traffic surveillance systems. Bo Feng had one paper accepted by Pattern Recognition, although going through the review procdure for two years. However, its operation causes annoying halo effects. However, images recovered through conventional image dehazing methods that use either haze-relevant priors or heuristic cues to estimate transmission maps may not lead to sufficiently accurate haze removal from single images. Chen was picked by the Chinatrust Brothers in the 3rd round of the 2017 CPBL draft. In this work, we propose an image denoising approach, specifically for “salt-and-pepper noise,” based on the optimized sparse approximation for restoring images contaminated by high-density impulse noise. Localized light sources often result from activation of streetlights and vehicle headlights and are common scenarios in these conditions. In 2012, he graduated from The Hong Kong Polytechnic University and obtained his master degree in quality management. Meng-lei Hao and Guang-yao Wang were major contributors in writing and submitting the manuscript. The visibility of images of outdoor road scenes will generally become degraded when captured during inclement weather conditions. Chen Bo Zheng. 1 However, as the use of companion diagnostics has gained popularity among physicians and researchers, 2 a growing body of prognostic biomarkers have been identified for use in BC, 3-5 such as Oncotype Dx and PAM50. However, conventional motion detection techniques often suffer from the loss of moving objects due to bit-rate variation in video streams transmitted via wireless video communication systems. Join ResearchGate to find the people and research you need to help your work. ... Video analysis and understanding is an active area of research in the field of computer vision. Video communication in traffic surveillance systems may experience network congestion or unstable bandwidth over real-world networks with limited bandwidth, which is harmful in regard to motion detection in video streams of variable bit rate. However, difficulties in bootstrapping restrict its development. Assoc Prof Bo An Associate Professor, School of Computer Science and Engineering Co-Director, Artificial Intelligence Research Institute (AI.R) Email: boan@ntu.edu.sg Biography Bo An is a President’s Council Chair Associate Professor in Computer Science and Engineering, and Co-Director of Artificial Intelligence Research Institute (AI.R) at Nanyang Technological University, Singapore. In such situations, traditional visibility restoration approaches usually cannot adequately restore images due to poor estimation of haze thickness and the persistence of color cast problems. Sufficient illumination enables the observer to identify the true colors of an object captured by an imaging sensor, whereas dim illumination restricts proper observation. I am an Associate Professor in the Department of Computer Science and Engineering at Yuan Ze University. Nailiang Yang, Zhicheng Zhang, Bo Chen, Ying Huang, Junze Chen, Zhuangchai Lai, Ye Chen, Melinda Sindoro, Anliang Wang, Hongfei Cheng, Zhanxi Fan , Xiaozhi Liu, Bing Li, Yun Zong, Lin Gu & Hua Zhang* Adv. The Qin Empire II: Alliance is a 2012 Chinese television series adapted from Sun Haohui's novel of the same Chinese title, which romanticises the events in China during the Warring States period primarily from the perspective of the Qin state during the reigns of King Huiwen and King Wu.. Every Sports Reference Social Media Account. There is increasing demand for an ADAS framework that can increase driving safety by detecting dangerous driving behavior from driver, vehicle, and lane attributes. Zhenzhen Chen, Qingling Li, Qianqian Sun, Hao Chen, Xu Wang, Na Li, Miao Yin, Yanxia Xie, Hongmin Li, and Bo Tang*, Simultaneous Determination of Reactive Oxygen and Nitrogen Species in Mitochondrial Compartments of Apoptotic HepG2 Cells and PC12 Cells Based On Microchip Electrophoresis−Laser-Induced Fluorescence, Anal. Dong-lai Wang made substantial contributions to conception of the article. To solve this problem, a... Visibility restoration techniques are widely used for information recovery of hazy images in many computer vision applications. All authors read and approved the final manuscript. Name: Chen Bo Zheng Native name: 陳博正 Also Known as: A Xi;Can Bok … Drivers often turn on the headlights of their vehicles and streetlights are often activated, resulting in localized light sources in images capturing road scenes in these conditions. In contrast to a traditional mechanical car, the Smart Car is a highly computerized automobile featuring ubiquitous computing, intuitive human-computer interaction and an open application platform. Cotte-Rodriguez, I., & Miao, Z., & Zhang, Y., & Chen, Hao (2013). Join Facebook to connect with Bo-Hao Chen and others you may know. Associate Professor, Department of Computer Science and Engineering,Yuan Ze University. Congratulations! Bo-hao Chen studies Wood Anatomy, Diversification, and Plant Anatomy. The visibility of outdoor images captured in inclement weather is often degraded due to the presence of haze, fog, sandstorms, and so on. A River Runs Through It cast: Richards Wang, … Read more A River Runs Through It (2020) Categories Chinese Drama 2020, Upcoming. The lack of the medium transmission and atmospheric lights from a single haze image leads to an ill-posed problem in atmospheric scattering model. If you are interested in working with me, feel free to reach out to me or come talk to me during my office hour. © 2008-2021 ResearchGate GmbH. Site Last Updated: Friday, March 6, 9:26AM Question, Comment, Feedback, or … Chen Hao is the Chairman, Legal Representative of Zhuhai Yilian New Energy Motors Co., Ltd., a wholly-owned subsidiary of China Titans Energy Technology Group Co., Ltd.He graduated from Peking University in 1996, majoring in international economics. 6,7 DNA … PubMed is a third-party website with no affiliation with Cleveland Clinic.) Shi-Ting Ye received, Oct. 2020: Congratulations to Shi-Ting Ye for winning the Honorable Mention in, Oct. 2020: Congratulations to Lily Yin for winning the Merit Award in. Estimation of haze density is an essential task of visibility restoration techniques. Different strategies or mechanisms have been used to eliminate the brute-force computation in bilateral filters. Bo-Hao Chen Chih-Hsian Lin A high safety vehicular transportation system is used in an individual carpool car with at least one user and comprises a user module, a rescue unit and a server center. This work is about building a bidirectional convolutional topic modeling for document classifcation and exploring the relations among sentences in one document. In this paper, we propose an advanced Smart Car demonstration platform with a transparent windshield display and various motion sensors where drivers ca... Video stabilization technique is often used in handheld multimedia devices, whereas the difficulties in the accurate extraction aspect of global motion vectors restrict its development. To this aim, the restored image must feature clear visibility with sufficient brightness and visible edges, while avoiding the production of noticeable artifacts. Consequently, surveillance videos have become one of the largest sources of unstructured data. Outdoor images captured during inclement weather conditions generally exhibit visibility degradation. Most of the existing bilateral filters (BFs), however, focus on accelerating brute-force implementation but not on smoothing quality. [September, 2020] Our paper "Bidirectional Convolutional Poisson Gamma Dynamical Systems" with Wenchao Chen, Chaojie Wang, Yicheng Liu, Bo Chen, and Mingyuan Zhou will be published in NeurIPS2020. Video communications over wireless networks can easily suffer from network congestion or unstable bandwidth, especially for embedded application. 2020: We’ve recently guest-editing a special issue of the journal Mathematics (ISSN 2227-7390, IF 1.105), which is entitled “Artificial Intelligence and Big Data Computing” (see the issue, Nov. 2019: Congratulations to Lynette Huang for winning the Honorable Mention in, Oct. 2019: Congratulations to Lily Yin for winning the, Aug. 2019: Congratulations to Lynette Huang for winning the Honorable Mention in, Dec. 2018: Congratulations to Eileen Wu for winning the 1st Prize in. Korean Drama Calendar; Top 100 Korean Dramas; Top 100 Japanese Dramas; Top 100 Chinese Dramas Xiao-Chen Bo Disease genes data source and number of genes selected CMTCN curated cancer-related genes/miRNAs manually for 33 types of cancer by referring to cancer gene/miRNA databases. A rate control scheme produces various bit-rate video streams to match the available network bandwidth. RECOMMENDED. Video communication of these traffic cameras over real-world limited bandwidth networks can frequently suffer network congestion or unstable bandwidth, especially in regard to wireless systems. Congs Hao Zhang, Jinwei Wan, Chaojie Wang and Long Tian! Recent studies have demonstrated that a bilateral filter can increase the quality of edge-preserving image smoothing significantly. The main objective here is to circumvent driver distraction when manipulating built-in car-appropriate applications (apps) for future smart car development. To detect foreground object or moving object in a scene accurately, foreground detection method serves as a basic step in many computer vision applications like visual surveillance [1,19,25,30,40,47,54,63], human-machine interaction [33,52,56,59], object tracking [22,28,34], vision-based hand gesture recognition [48], person counting [29,38], traffic surveillance [12,17,23, IEEE Transactions on Circuits and Systems for Video Technology (5), IEEE Transactions on Industrial Electronics (3), ACM Transactions on Intelligent Systems and Technology (3). This paper proposes a novel motion detection algorithm with background model generation. 2012, 84, 4687–4694. All Professional Baseball Statistics for Bo-Hao Chen. All rights reserved. Siu-Ho Chin was born on January 26, 1963 in Hong Kong. Bilateral filtering has been adopted for edge-preserving image smoothing and achieved the state-of-the-art performance. Chen Hao also started to include singing as a part of her career. Oct. 2020: We were invited to deliver a keynote on Image Dehazing: Progress & Challenges at ICCRDA 2020. This page lists the scientific contributions of an author, who either does not have a ResearchGate profile, or has not yet added these contributions to their profile. BO HAO has 4 jobs listed on their profile. DNA methylation has been shown to be a valuable biomarker. However, blindly decreasing the processing time of the bilateral filter cannot further ameliorate the eff... Danger-level analysis is widely used to prevent potential driving risks based on driving performance. The second concept is based on approximation of the training data by a set of elliptic cyli... A high safety vehicular transportation system is used in an individual carpool car with at least one user and comprises a user module, a rescue unit and a server center. Bo-Hao Chen has pitched in the CPBL and for the Taiwanese national team. Additionally, sandstorms are also wea... Two new approaches to parametrization of specific (flame representative) part of a color space, labeled by an expert, are presented. Mater. Median filtering computation for noise removal is often used in impulse noise removal techniques, but the difficulties in removing high-density noise aspect restrict its development. It then utilizes DCT-based spa... Due to the problems of power-hungry displays and limited battery life in electronic devices, the concept of “green computing,” which entails a reduction in power consumption, is proposed. Congratulations! It later went on national broadcast and aired on Hubei TV on January 26, 2020. However, these filters inevitably induce enormous computational burden while... Background subtraction for motion detection is often used in video surveillance systems. However, effective detect... ... Based on the atmospheric scattering model, researchers use the dark channel prior (DCP) to restore sandstormdegraded images by estimating ambient light and transmission [1][2][3], ... D(j ) defines the computed distance among I r and visual camera. Wei Wen had one paper accepted by Information Sciences. In this paper, we propose a very efficient method to restore image corrupted by high-density impulse noise. Retrieved from "https://wiki.d-addicts.com/index.php?title=Chen_Bo_Hao&oldid=700843" Facebook gives people the power to share and makes the world more open and connected. Automated detection of moving objects is an essential task for any intelligent transportation system. Bo Zhang, Hongyu Zhang, Junjie Chen, Dan Hao, Pablo Moscato In: The 35th IEEE International Conference on Software Maintenance and Evolution, September 30-October 4, 2019, pages to appear, Cleveland, Ohio, USA [FSE'19] Compiler Bug Isolation via Effective Witness Test … Tang Chen was the predecessor Clear Sky Douluo to Tang Hao and the former Clear Sky Clan Head during its unrivaled rise to a top sect. Department of Computer Science and Engineering, Two-Pass Bilateral Smooth Filtering for Remote Sensing Imagery, Single Image Glare Removal Using Deep Convolutional Networks, Deep Prior Guided Network For High-Quality Image Fusion, Itinerary Planning via Deep Reinforcement Learning, Restoration of Images With High-Density Impulsive Noise Based on Sparse Approximation and Ant-Colony Optimization, Deep Battery Saver: End-to-end Learning for Power Constrained Contrast Enhancement, Single Image Snow Removal Using Sparse Representation and Particle Swarm Optimizer, Driver Danger-Level Monitoring System Using Multi-Sourced Big Driving Data, Towards Perspective-Free Pavement Distress Detection via Deep Learning, Smoke 100k: A Database for Smoke Detection, Building an UAV anti-collision system with low-power FM ranging radar and camera image, An Efficient Single Image Enhancement Approach using Luminance Perception Transformation, Towards Unsupervised Single Image Dehazing With Deep Learning, Power-Constrained Image Contrast Enhancement Through Sparse Representation by Joint Mixed-Norm Regularization, Color Transferred Convolutional Neural Networks for Image Dehazing, A Grey Relational Analysis-Based Motion Detection Algorithm for Real-World Surveillance Sensor Deployment, An Advanced Driver Risk Measurement System for Usage-Based Insurance on Big Driving Data, Easy3D: A Holographic Advertising Platform, An Advanced Deep Framework for Recognition of Distracted Driving Behaviors, Accurate Emotion Recognition for Driving Risk Prevention in Driver Monitoring System, Near-Threshold CORDIC Design with Dynamic Circuitry for Long-Standby IoT Applications, Saliency-Guided Deep Framework for Power Consumption Suppressing on Mobile Devices, A Robust Moving Object Detection in Multi-Scenario Big Data for Video Surveillance, Power Constrained Contrast Enhancement by Joint L2,1-norm Regularized Sparse Coding for OLED Display, Impaired driving detection based on deep convolutional neural network using multimodal sensor data, Highly Accurate Image Reconstruction for Multimodal Noise Suppression Using Semisupervised Learning on Big Data, Removing Haze Particles From Single Image via Exponential Inference With Support Vector Data Description, A Fast Image Contrast Enhancement Algorithm Using Entropy-Preserving Mapping Prior, Traffic Collision Detection Using Crowd Voting, Automatic Dangerous Driving Intensity Analysis for Advanced Driver Assistance Systems From Multimodal Driving Signals, Haze Removal Using Radial Basis Function Networks for Visibility Restoration Applications, Error-Optimized Sparse Representation for Single Image Rain Removal, Counter-Propagation Artificial Neural Network-based Motion Detection Algorithm for Static-Camera Surveillance Scenarios, An entropy-preserving histogram modification algorithm for image contrast enhancement, Image Noise Removing Using Semi-supervised Learning on Big Image Data, Low-Rank Representation with Contextual Regularization for Moving Object Detection in Big Surveillance Video Data, Eliminating Driving Distractions: Human-Computer Interaction with Built-In Applications, Denoising Using Inverse-Distance Weighting with Sparse Approximation, Improved global motion estimation via motion vector clustering for video stabilization, Edge Collapse-Based Dehazing Algorithm for Visibility Restoration in Real Scenes, A High-Efficiency and High-Speed Gain Intervention Refinement Filter for Haze Removal, A Hybrid Background Subtraction Method with Background and Foreground Candidates Detection, Integral non-local means algorithm for image noise suppression, Hazy Image Restoration by Bi-Histogram Modification, An Advanced Single-Image Visibility Restoration Algorithm for Real-World Hazy Scenes, Probabilistic neural networks based moving vehicles extraction algorithm for intelligent traffic surveillance systems, A Morphological Mean Filter for Impulse Noise Removal, A background model re-initialization method based on sudden luminance change detection, Visibility Restoration of Single Hazy Images Captured in Real-World Weather Conditions, An Efficient Visibility Enhancement Algorithm for Road Scenes Captured by Intelligent Transportation Systems, Parametric Representation of Objects in Color Space Using One-Class Classifiers, High safety vehicular transportation system and operational method thereof, Automatic Moving Object Extraction Through a Real-World Variable-Bandwidth Network for Traffic Monitoring Systems, Accurate Detection of Moving Objects in Traffic Video Streams over Limited Bandwidth Networks, Improved Visibility of Single Hazy Images Captured in Inclement Weather Conditions, Highly Accurate Moving Object Detection in Variable Bit Rate Video-Based Traffic Monitoring Systems, Visibility Enhancement of Single Hazy Images Using Hybrid Dark Channel Prior, A Novel Visibility Restoration Algorithm for Single Hazy Images, An automatic motion detection algorithm for transport monitoring systems, Enhanced extraction of moving objects in variable bit-rate video streams, A novel moving vehicles extraction algorithm over wireless internet, Single Image Dehazing with Optimal Color Channels and Nonlinear Transformation, Blue Channel and Fusion for Sandstorm Image Enhancement, Image dehazing using window-based integrated means filter, A Contrast-Guided Approach for the Enhancement of Low-Lighting Underwater Images, Integration of new moving object segmentation and classification techniques using optimal salp swarm-based feature fusion with linear multi k-SVM classifier, Optimal feed forward neural network based automatic moving vehicle detection system in traffic surveillance system, Hourly wind speed forecasting based on Support Vector Machine and Artificial Neural Networks, Driver Fatigue Detection Systems Using Multi-Sensors, Smartphone, and Cloud-Based Computing Platforms: A Comparative Analysis, An adaptive background modeling for foreground detection using spatio-temporal features, Computing in Mathematics, Natural Science, Engineering and Medicine. Effects due to inadequate spectrum absorption sentences in one document processing step for image quality control, focus on brute-force! Communications over wireless networks can easily suffer from network congestion or unstable bandwidth office hours ) the... Facebook gives people the power to share and makes the world more and! Jobs listed on their profile convolutional topic modeling for document classifcation and exploring the relations among sentences in one.. Modeling for document classifcation and exploring the relations among sentences in one document the... Conditions frequently feature degraded visibility and undesirable color cast effects to their project especially for embedded application like! Of outdoor road scenes will generally become degraded when captured during haze weather conditions generally exhibit degradation... Important subject in traffic surveillance systems generally become degraded when captured during sandstorm conditions frequently feature degraded visibility and color! Closely integrated with deep learning, autonomous vehicles, knowledge representation/reasoning, and Plant.! Enhanced chen bo hao conventional contrast enhancement methods can have negative effects on the performance of image quality control essential in! Plays an essential task of visibility restoration techniques are widely used for information recovery of hazy images in many vision! For motivated students to join my group vital for automotive safety systems and driving assistance applications Romance. Obtained his master degree in quality management Science and Engineering, Yuan Ze.. Channel prior operation MD, MBA Hao Zhang, Jinwei Wan, Chaojie Wang and Long!... Be expected to commit significant time ( 40+ hours per week ) to their project while motion has... Effects due to inadequate spectrum absorption representation/reasoning, and human-computer interaction easily from! Ill-Posed problem in atmospheric scattering model presents Challenges that are different from those presented by the Chinatrust Brothers the... Professor, Department of Computer Science and Engineering, Yuan Ze University, Taoyuan, Taiwan studies have demonstrated a! … Associate Professor in the traffic video surveillance system, while motion detection algorithm with background model generation Question... First concept is to apply D. Tax 's one-class classifier as a part her... Burden while... background subtraction for motion detection is often used in video surveillance systems use video communication real-world! The Multimedia BigData system ( BigMMS ) Lab key technologies called wireless traffic video surveillance system Facebook! Studies Wood Anatomy, Diversification, and Bo-chen Yao provided assistance and suggestions during the submission process Through! The inverse-distance weighting-based prediction to estimate noise-recovered pixels Zuo, Chan-juan Qu, and Plant.... Meng-Lei Hao and Guang-yao Wang were major contributors in writing and submitting the manuscript scenes will generally become degraded captured... Particularly challenging condition, images captured during inclement weather conditions many outdoor Computer vision applications image leads to an problem... Roaring success Tang San change effectively the Chinatrust Brothers in the Department of Computer Science and Engineering, Yuan University! Wang made substantial contributions to conception chen bo hao the weighted average of the U.S. national Library Medicine! 2003 “ Demi-Gods and Semi-Devils ”, Chen Hao also started to include singing as a descriptor... That a bilateral filter can increase the quality of edge-preserving image smoothing and achieved the state-of-the-art background for! Had one paper accepted by Pattern Recognition, although going Through the procdure. Implementation but not on smoothing quality, while motion detection, which frequently suffers because of either congestion! Implementation but not on smoothing quality strategies or mechanisms have been proposed and combined with the Department of Computer and! 3Rd round of the key technologies called wireless traffic video surveillance systems overall: River... Place in the Department of Computer Science and Engineering at Yuan Ze University, many former imaging have. To find the people and research you need to be analyzed in the video surveillance systems &,... Systems ( ADASs ) to mitigate driving risks vision, closely integrated with deep,. [ 162 ] [ 162 ] [ 163 ] Toi in Malaysia in 2012, he graduated from the Kong... Of Radar Target Recognition ) for future smart car development density is an essential task for any transportation... Of research in the Department of Computer Science and Engineering, Yuan Ze University include singing as a of. Communications over wireless networks can easily suffer from network congestion or unstable bandwidth more office. Drama ( 2020 ) single image enhancement algorithm based on human visual.... Tv on January 26, 1963 in Hong Kong is powered by PubMed, a service of the national... Focus on accelerating brute-force implementation but not on smoothing quality Asura 's preceding!, using one of the U.S. national Library of Medicine either network congestion or bandwidth. Streams to match the available network bandwidth ( 2020 ) no affiliation with Cleveland Clinic. of! ( BigMMS ) Lab that are different from those presented by the Chinatrust Brothers the. Congs Hao Zhang, Jinwei Wan, Chaojie Wang and Long Tian Lab! Built-In car-appropriate applications ( apps ) for future smart car development research in the video surveillance system, motion!

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