Special Issue Information Special Issue Call for Paper Other Special Issues on this journal Closed Special Issues
REAL-TIME COMPUTER VISION FOR ACCIDENT PREVENTION AND DETECTION (RT-APRED)

REAL-TIME COMPUTER VISION FOR ACCIDENT PREVENTION AND DETECTION (RT-APRED)

Journal
Impact Score 6.76

OFFICIAL WEBSITE

Special Issue Information

Submission Deadline: 20-05-2021
Journal Impact Score: 6.76
Journal Name: Pattern Recognition Letters
Publisher: Pattern Recognition Letters

Special Issue Call for Papers


The rapid increase in population has predominantly increased the demand and usage of the motorized vehicles in all areas. This increase in motor vehicular usage has substantially increased the rate of road accidents in the recent decade. Furthermore, injuries, disabilities, and death due to fatal road accidents have been increasing every year despite the safety measures introduced for the public and private transportation system. Congestion of vehicles, a driver under alcohol or drug influence, distracted driving, street racing, faulty design of cars or traffic lights, tailgating, running red lights & stop signs, improper turns and driving in the wrong direction are some of the real causes of accidents across the globe. There are many advanced surveillance systems implemented for road safety, but the prevention of accidents are still being an effective problem. The existing sophisticated vehicles monitored and traffic surveillance system should be used to prevent accidents from occurring. However real-time observations are difficult with an enormous amount of surveillance data running continuously. With the emerging trends in the field of information and computer science, the use of innovative technologies in real-time can be helpful for accident prevention and detection.



Computer vision is the technology that is designed to imitate how the human visual system works. The digital image data from the multiple surveillance systems are acquired in real-time and the data is analyzed and if there are any incidents such as speeding, reckless driving, accidents, etc. it is identified and reported by the system concurrently. Image classification, object detection, object tracking, semantic segmentation, and instance segmentation are some of the computer vision-based techniques with advanced deep learning approaches which can be used in the real-time accident detection and prevention processes.



Similarly, using neural networks many anomalies can be detected in the movement of vehicles using historical data which can be also used in the prevention of accidents. The recent developments in the use of deep learning approaches in visual recognition can be seen as a significant contribution to advanced computer vision research. Moreover, the assistance of computer vision in the surveillance of traffic for accident prevention and detection in real-time would be more significant. The special issue on “Real-time computer vision for accident prevention and detection”



The list of topics that are relevant includes, but it is not limited to, the following:




  • Theoretical analysis of Computer Vision-based Visual recognition for Fatal Accidents


  • Unsupervised, Semi-Supervised and Self-Supervised Feature Learning of Transportation Accidents


  • A Study on Real-time Applications of Computer Vision and Image Analysis in Traffic Congestion


  • Deep Vision-based Learning for Accident and Traffic Collision Reconstruction


  • Future of Computer Vision in Road Safety and Intelligent Traffic


  • Sensors and Early Vision for Post-Accident and Injury Phases


  • Computer Vision for Fatigue Detection and Management Technologies


  • Applications of Neural Networks in Transportation Strategy Planning and Instinctive Decision Making


  • Advanced Visual Learning Methods for Risk-based Accident Prevention


  • Computer Vision Algorithms and methodologies for Pre-Crash Analysis



Timeline:



Paper Submission Deadline : May 20, 2021 



Paper Acceptance Deadline: Mar 20, 2022



Guest Editors:



Dr.Vijayalakshmi Saravanan



Rochester Institute of Technology, United States



Ryerson University, Canada



Official Email: [email protected]; [email protected]



Official Website: https://www.rit.edu/directory/vsavse-vijayalakshmi-saravanan



Dr.Vijayalakshmi Saravanan is currently working as Adjunct Faculty at Golisano College of Computing and Information Sciences, Rochester Institute of Technology, USA and visiting researcher at WINCORE Lab at Ryerson University, Canada. Earlier she was a Postdoctoral Associate at UB (University at Buffalo), The State University of New York, USA and University of Waterloo, Canada under the prestigious “Schlumberger Faculty for the Future” Fellowship award (2015-2017). She completed her Ph.D. under the prestigious Erasmus Mundus EU-Govt Fellowship award at Malardalen University, Sweden as a research exchange student. She has 10 years of teaching experience and has published many technical articles in scholarly international journal and conference. She is serving as technical reviewer and program committee member for reputed conferences & journals such as GHC, SIGCSE and Springer. Her research interests include Power-Aware Processor Design, Big Data, IoT, Computer Architecture, multi-core architecture, s/w and h/w co-design of multi-core, power-performance analysis of multi-core architecture. She is also a lead editor for edited book in CRC Press Taylor and Francis, USA. She is a Senior Member of IEEE & ACM,CSI, Ex-Chair for IEEE-WIE VIT affinity group, India (2009-2015), NPA (National Postdoctoral Association) Annual Meetings committee, Workshop/IIA Co-Chair(2017-2018) Poster committee Co-chair (2018-2019) and a Board member of N2WOMEN(Networking Networking Women). Official Website: https://www.rit.edu/directory/vsavse-vijayalakshmi-saravanan



Dr. Isaac Woungang



Professor



Director of DABNEL Lab



Department of Computer Science,



Ryerson University



Toronto, Canada



Official Email: [email protected]



Official Website: https://www.ryerson.ca/science/programs/graduate/computerscience/our-faculty/woungang-isaac/



Dr.Isaac Woungang received his Ph.D. degree in Mathematics from the University of South, Toulon & Var, France in 1994. From 1999 to 2002, he worked as software engineer at Nortel Networks, Ottawa, Canada. Since 2002, he has been with Ryerson University, Toronto, Canada, where he is now a Professor of Computer Science. His current research interests include radio resource management in next generation wireless networks, Big Data, IoT, and Cloud computing. Dr.Woungang has published 8 books and over 90 refereed technical articles in scholarly international journals and proceedings of international conferences. He has served as Associate Editor of the Computers and Electrical Engineering (Elsevier), and the International Journal of Communication Systems (Wiley). He has Guest Edited several Special Issues with various reputed journals such as Computer Communications (Elsevier) and Telecommunication Systems (Springer). Since January 2012, He serves as Chair of Computer Chapter, IEEE Toronto Section.



Dr. Alagan Anpalagan



Professor

Department of Electrical and Computer Engineering,

Ryerson University

Toronto, Canada

Official Email: [email protected]

Official Website: https://www.ee.ryerson.ca/people/Anpalagan.html



Dr. Alagan Anpalagan received the B.A.Sc. M.A.Sc. and Ph.D. degrees in Electrical Engineering from the University of Toronto, Canada. He joined the ELCE Department at Ryerson University in 2001 and was promoted to Full Professor in 2010. He served the department as Graduate Program Director (2004-09) and the Interim EE Program Director (2009-10). During his sabbatical, he was a Visiting Professor at Asian Institute of Technology and Visiting Researcher at Kyoto University. His industrial experience includes working at Bell Mobility, Nortel Networks and IBM Canada. He directs a research group working on radio resource management (RRM) and radio access & networking (RAN) areas within WINCORE Lab. He also served as Editor for the IEEE Communications Surveys & Tutorials and IEEE Communications Letters. He co-edited Design and Deployment of Small Cell Networks, Cambridge University Press (2015), Routing in Opportunistic Networks, Springer (2013), Handbook on Green Information and Communication Systems, Academic Press (2012). He served as IEEE Canada Central Area Chair (2013-15), IEEE Toronto Section Chair (2006-07), ComSoc Toronto Chapter Chair (2004-05), IEEE Canada Professional Activities Committee Chair (2009-11). He is a Registered Professional Engineer in the province of Ontario, IEEE Senior Member and Fellow of Institution of Engineering and Technology. His research interests include Radio resource management, Green communication, Energy harvesting technologies, Small cell and heterogeneous networks, Cognitive and cooperative communication, Machine-to-machine communication, Smart grid and smart homes, Wireless sensor networks, Cross-layer design, Performance modeling, Analysis and optimization.




Other Special Issues on this journal

Publisher
Journal Details
Closing date
G2R Score
Recent Advances in Deep Learning Model Security

Recent Advances in Deep Learning Model Security

Pattern Recognition Letters
Closing date: 20-06-2022 G2R Score: 6.76
Visual dEscriptors for TexturE Recognition: from Gabor to deep leArNing (VETERAN)

Visual dEscriptors for TexturE Recognition: from Gabor to deep leArNing (VETERAN)

Pattern Recognition Letters
Closing date: 27-05-2022 G2R Score: 6.76
Pattern Recognition for Cyber-Physical-Social Services

Pattern Recognition for Cyber-Physical-Social Services

Pattern Recognition Letters
Closing date: 20-05-2022 G2R Score: 6.76

Closed Special Issues

Publisher
Journal Details
Closing date
G2R Score
Deep Learning for Acoustic Sensor Array Processing (DL-ASAP)

Deep Learning for Acoustic Sensor Array Processing (DL-ASAP)

Pattern Recognition Letters
Closing date: 20-03-2022 G2R Score: 6.76
Self-Learning Systems and Pattern Recognition and Exploitation (SeLSPRE)

Self-Learning Systems and Pattern Recognition and Exploitation (SeLSPRE)

Pattern Recognition Letters
Closing date: 31-01-2022 G2R Score: 6.76
Computational Linguistics Processing in Indigenous Language (CLPIL)

Computational Linguistics Processing in Indigenous Language (CLPIL)

Pattern Recognition Letters
Closing date: 30-01-2022 G2R Score: 6.76
Few-shot Learning for Human-machine Interactions (FSL-HMI)

Few-shot Learning for Human-machine Interactions (FSL-HMI)

Pattern Recognition Letters
Closing date: 20-12-2021 G2R Score: 6.76
Mobile and Wearable Biometrics (VSI:MWB)

Mobile and Wearable Biometrics (VSI:MWB)

Pattern Recognition Letters
Closing date: 19-12-2021 G2R Score: 6.76
Application of Pattern Recognition in Digital world: Security, Privacy and Reliability (APRDW)

Application of Pattern Recognition in Digital world: Security, Privacy and Reliability (APRDW)

Pattern Recognition Letters
Closing date: 30-09-2021 G2R Score: 6.76
Multi-view Representation Learning and Multi-modal Information Representation

Multi-view Representation Learning and Multi-modal Information Representation

Pattern Recognition Letters
Closing date: 01-08-2021 G2R Score: 6.76
UNSUPERVISED PATTERN LEARNING, ANALYTICS & PREDICTION OF COVID-19 GLOBAL PANDEMIC (PR-COVID)

UNSUPERVISED PATTERN LEARNING, ANALYTICS & PREDICTION OF COVID-19 GLOBAL PANDEMIC (PR-COVID)

Pattern Recognition Letters
Closing date: 20-06-2021 G2R Score: 6.76
REAL-TIME COMPUTER VISION FOR ACCIDENT PREVENTION AND DETECTION (RT-APRED)

REAL-TIME COMPUTER VISION FOR ACCIDENT PREVENTION AND DETECTION (RT-APRED)

Pattern Recognition Letters
Closing date: 20-05-2021 G2R Score: 6.76
Biometric Presentation Attacks: handcrafted features versus deep learning approaches (BioPAth)

Biometric Presentation Attacks: handcrafted features versus deep learning approaches (BioPAth)

Pattern Recognition Letters
Closing date: 12-01-2021 G2R Score: 6.76
Pattern Recognition-driven User Experiences (PRUE)

Pattern Recognition-driven User Experiences (PRUE)

Pattern Recognition Letters
Closing date: 10-01-2021 G2R Score: 6.76
Deep Learning for Precise and Efficient Object Detection

Deep Learning for Precise and Efficient Object Detection

Pattern Recognition Letters
Closing date: 31-12-2020 G2R Score: 6.76
Implicit BIOmetric Authentication and Monitoring through Internet of Things

Implicit BIOmetric Authentication and Monitoring through Internet of Things

Pattern Recognition Letters
Closing date: 30-09-2020 G2R Score: 6.76
Advances in Human Action, Activity and Gesture Recognition (AHAAGR)

Advances in Human Action, Activity and Gesture Recognition (AHAAGR)

Pattern Recognition Letters
Closing date: 30-09-2020 G2R Score: 6.76
Advances in Digital Security: Biometrics and Forensics

Advances in Digital Security: Biometrics and Forensics

Pattern Recognition Letters
Closing date: 30-09-2020 G2R Score: 6.76
Capsule Networks for Biomedical Pattern Analysis (CNBPA)

Capsule Networks for Biomedical Pattern Analysis (CNBPA)

Pattern Recognition Letters
Closing date: 31-07-2020 G2R Score: 6.76
Advances in Human Action, Activity and Gesture Recognition (AHAAGR)

Advances in Human Action, Activity and Gesture Recognition (AHAAGR)

Pattern Recognition Letters
Closing date: 30-07-2020 G2R Score: 6.76
Digital Anastylosis of Frescoes challeNgE  (DAFNE)

Digital Anastylosis of Frescoes challeNgE (DAFNE)

Pattern Recognition Letters
Closing date: 20-06-2020 G2R Score: 6.76
Digital Anastylosis of Frescoes challeNgE (DAFNE)

Digital Anastylosis of Frescoes challeNgE (DAFNE)

Pattern Recognition Letters
Closing date: 20-06-2020 G2R Score: 6.76
Cross-Media Learning for Visual Question Answering (VQA)

Cross-Media Learning for Visual Question Answering (VQA)

Pattern Recognition Letters
Closing date: 05-06-2020 G2R Score: 6.76
Deep Learning Based Approaches in Signal Processing and IoT: A Pathway to Intelligent Systems (DLIOT)

Deep Learning Based Approaches in Signal Processing and IoT: A Pathway to Intelligent Systems (DLIOT)

Pattern Recognition Letters
Closing date: 30-04-2020 G2R Score: 6.76
Novel Data-Representation and Classification Techniques

Novel Data-Representation and Classification Techniques

Pattern Recognition Letters
Closing date: 31-03-2020 G2R Score: 6.76
Artificial Intelligence for Distributed Smart Sensing

Artificial Intelligence for Distributed Smart Sensing

Pattern Recognition Letters
Closing date: 30-03-2020 G2R Score: 6.76
Deep Multi-source Data Analysis (DMDA)

Deep Multi-source Data Analysis (DMDA)

Pattern Recognition Letters
Closing date: 31-01-2020 G2R Score: 6.76
Virtual  “Recent Advances in Statistical, Structural and Syntactic Pattern Recognition”

Virtual “Recent Advances in Statistical, Structural and Syntactic Pattern Recognition”

Pattern Recognition Letters
Closing date: 31-01-2020 G2R Score: 6.76
Pattern Recognition and Artificial Intelligence Techniques for Cultural Heritage special issue

Pattern Recognition and Artificial Intelligence Techniques for Cultural Heritage special issue

Pattern Recognition Letters
Closing date: 25-09-2019 G2R Score: 6.76
Deep Learning for Medical Imaging and Health Informatics

Deep Learning for Medical Imaging and Health Informatics

Pattern Recognition Letters
Closing date: 20-09-2019 G2R Score: 6.76
Topological Image Analysis and Recognition (TIAR)

Topological Image Analysis and Recognition (TIAR)

Pattern Recognition Letters
Closing date: 30-07-2019 G2R Score: 6.76
Virtual  “Pattern Recognition and Cognitive Assistants (PRCA)” at Pattern Recognition Letters Journal

Virtual “Pattern Recognition and Cognitive Assistants (PRCA)” at Pattern Recognition Letters Journal

Pattern Recognition Letters
Closing date: 05-07-2019 G2R Score: 6.76
Virtual  Smart Pattern Recognition for Medical Informatics (ACRONYM: SPRMI )

Virtual Smart Pattern Recognition for Medical Informatics (ACRONYM: SPRMI )

Pattern Recognition Letters
Closing date: 31-05-2019 G2R Score: 6.76
Intelligent Industrial Digital Forensics and Biocybernetics: Practices and Challenges

Intelligent Industrial Digital Forensics and Biocybernetics: Practices and Challenges

Pattern Recognition Letters
Closing date: 31-03-2019 G2R Score: 6.76
“DLVA: Advances in Deep Learning and Visual Analytics for Intelligent Surveillance Systems”

“DLVA: Advances in Deep Learning and Visual Analytics for Intelligent Surveillance Systems”

Pattern Recognition Letters
Closing date: 30-09-2018 G2R Score: 6.76
Virtual  Pattern Recognition Techniques for Non Verbal Human Behavior (NVHB)

Virtual Pattern Recognition Techniques for Non Verbal Human Behavior (NVHB)

Pattern Recognition Letters
Closing date: 31-07-2018 G2R Score: 6.76
Learning and Recognition for Assistive Computer Vision

Learning and Recognition for Assistive Computer Vision

Pattern Recognition Letters
Closing date: 15-06-2018 G2R Score: 6.76
Multiple-task Learning for Big Data (ML4BD)

Multiple-task Learning for Big Data (ML4BD)

Pattern Recognition Letters
Closing date: 31-03-2018 G2R Score: 6.76
Learning Compact Representations for Scalable Visual Recognition and Retrieval

Learning Compact Representations for Scalable Visual Recognition and Retrieval

Pattern Recognition Letters
Closing date: 31-01-2018 G2R Score: 6.76
Graphonomics for e-citizens: e-health, e-society, e-education

Graphonomics for e-citizens: e-health, e-society, e-education

Pattern Recognition Letters
Closing date: 25-01-2018 G2R Score: 6.76
Robustness, Security and Regulation Aspects in Current Biometric Systems (RSRA-BS)

Robustness, Security and Regulation Aspects in Current Biometric Systems (RSRA-BS)

Pattern Recognition Letters
Closing date: 30-09-2017 G2R Score: 6.76
Pattern Discovery from Multi-Source Data (PDMSD)

Pattern Discovery from Multi-Source Data (PDMSD)

Pattern Recognition Letters
Closing date: 31-05-2017 G2R Score: 6.76
Multimodal Fusion for Pattern Recognition (MFPR)

Multimodal Fusion for Pattern Recognition (MFPR)

Pattern Recognition Letters
Closing date: 16-05-2017 G2R Score: 6.76
Deep Learning for Pattern Recognition (DLPR)

Deep Learning for Pattern Recognition (DLPR)

Pattern Recognition Letters
Closing date: 15-03-2017 G2R Score: 6.76
Machine Learning and Applications in Artificial Intelligence

Machine Learning and Applications in Artificial Intelligence

Pattern Recognition Letters
Closing date: 31-01-2017 G2R Score: 6.76
Intelligent Pattern Recognition Applications for Computer Vision and Biomedical Signal Processing

Intelligent Pattern Recognition Applications for Computer Vision and Biomedical Signal Processing

Pattern Recognition Letters
Closing date: 01-11-2016 G2R Score: 6.76
Integrating Biometrics and Forensics

Integrating Biometrics and Forensics

Pattern Recognition Letters
Closing date: 01-11-2016 G2R Score: 6.76
Personalised and Context-sensitive Interfaces in the Wild

Personalised and Context-sensitive Interfaces in the Wild

Pattern Recognition Letters
Closing date: 30-10-2016 G2R Score: 6.76
User Profiling and Behavior Adaptation for Human-Robot Interaction

User Profiling and Behavior Adaptation for Human-Robot Interaction

Pattern Recognition Letters
Closing date: 30-09-2016 G2R Score: 6.76
Pattern Recognition Techniques on Data Mining

Pattern Recognition Techniques on Data Mining

Pattern Recognition Letters
Closing date: 15-04-2016 G2R Score: 6.76
Advances in Graph-based Pattern Recognition

Advances in Graph-based Pattern Recognition

Pattern Recognition Letters
Closing date: 15-11-2015 G2R Score: 6.76