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Computer Vision And Imaging In Intelligent Transportation Systems
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Book Synopsis Computer Vision and Imaging in Intelligent Transportation Systems by : Robert P. Loce
Download or read book Computer Vision and Imaging in Intelligent Transportation Systems written by Robert P. Loce and published by John Wiley & Sons. This book was released on 2017-11-08 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: Acts as single source reference providing readers with an overview of how computer vision can contribute to the different applications in the field of road transportation This book presents a survey of computer vision techniques related to three key broad problems in the roadway transportation domain: safety, efficiency, and law enforcement. The individual chapters present significant applications within those problem domains, each presented in a tutorial manner, describing the motivation for and benefits of the application, and a description of the state of the art. Key features: Surveys the applications of computer vision techniques to road transportation system for the purposes of improving safety and efficiency and to assist law enforcement. Offers a timely discussion as computer vision is reaching a point of being useful in the field of transportation systems. Available as an enhanced eBook with video demonstrations to further explain the concepts discussed in the book, as well as links to publically available software and data sets for testing and algorithm development. The book will benefit the many researchers, engineers and practitioners of computer vision, digital imaging, automotive and civil engineering working in intelligent transportation systems. Given the breadth of topics covered, the text will present the reader with new and yet unconceived possibilities for application within their communities.
Book Synopsis Computer Vision and Imaging in Intelligent Transportation Systems by : Robert P. Loce
Download or read book Computer Vision and Imaging in Intelligent Transportation Systems written by Robert P. Loce and published by John Wiley & Sons. This book was released on 2017-03-20 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Acts as single source reference providing readers with an overview of how computer vision can contribute to the different applications in the field of road transportation This book presents a survey of computer vision techniques related to three key broad problems in the roadway transportation domain: safety, efficiency, and law enforcement. The individual chapters present significant applications within those problem domains, each presented in a tutorial manner, describing the motivation for and benefits of the application, and a description of the state of the art. Key features: Surveys the applications of computer vision techniques to road transportation system for the purposes of improving safety and efficiency and to assist law enforcement. Offers a timely discussion as computer vision is reaching a point of being useful in the field of transportation systems. Available as an enhanced eBook with video demonstrations to further explain the concepts discussed in the book, as well as links to publically available software and data sets for testing and algorithm development. The book will benefit the many researchers, engineers and practitioners of computer vision, digital imaging, automotive and civil engineering working in intelligent transportation systems. Given the breadth of topics covered, the text will present the reader with new and yet unconceived possibilities for application within their communities.
Book Synopsis Computer Vision for Driver Assistance by : Mahdi Rezaei
Download or read book Computer Vision for Driver Assistance written by Mahdi Rezaei and published by Springer. This book was released on 2017-02-06 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book summarises the state of the art in computer vision-based driver and road monitoring, focussing on monocular vision technology in particular, with the aim to address challenges of driver assistance and autonomous driving systems. While the systems designed for the assistance of drivers of on-road vehicles are currently converging to the design of autonomous vehicles, the research presented here focuses on scenarios where a driver is still assumed to pay attention to the traffic while operating a partially automated vehicle. Proposing various computer vision algorithms, techniques and methodologies, the authors also provide a general review of computer vision technologies that are relevant for driver assistance and fully autonomous vehicles. Computer Vision for Driver Assistance is the first book of its kind and will appeal to undergraduate and graduate students, researchers, engineers and those generally interested in computer vision-related topics in modern vehicle design.
Book Synopsis Video Based Machine Learning for Traffic Intersections by : Tania Banerjee
Download or read book Video Based Machine Learning for Traffic Intersections written by Tania Banerjee and published by CRC Press. This book was released on 2023-10-17 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: Video Based Machine Learning for Traffic Intersections describes the development of computer vision and machine learning-based applications for Intelligent Transportation Systems (ITS) and the challenges encountered during their deployment. This book presents several novel approaches, including a two-stream convolutional network architecture for vehicle detection, tracking, and near-miss detection; an unsupervised approach to detect near-misses in fisheye intersection videos using a deep learning model combined with a camera calibration and spline-based mapping method; and algorithms that utilize video analysis and signal timing data to accurately detect and categorize events based on the phase and type of conflict in pedestrian-vehicle and vehicle-vehicle interactions. The book makes use of a real-time trajectory prediction approach, combined with aligned Google Maps information, to estimate vehicle travel time across multiple intersections. Novel visualization software, designed by the authors to serve traffic practitioners, is used to analyze the efficiency and safety of intersections. The software offers two modes: a streaming mode and a historical mode, both of which are useful to traffic engineers who need to quickly analyze trajectories to better understand traffic behavior at an intersection. Overall, this book presents a comprehensive overview of the application of computer vision and machine learning to solve transportation-related problems. Video Based Machine Learning for Traffic Intersections demonstrates how these techniques can be used to improve safety, efficiency, and traffic flow, as well as identify potential conflicts and issues before they occur. The range of novel approaches and techniques presented offers a glimpse of the exciting possibilities that lie ahead for ITS research and development. Key Features: Describes the development and challenges associated with Intelligent Transportation Systems (ITS) Provides novel visualization software designed to serve traffic practitioners in analyzing the efficiency and safety of an intersection Has the potential to proactively identify potential conflict situations and develop an early warning system for real-time vehicle-vehicle and pedestrian-vehicle conflicts
Book Synopsis Computer Vision Algorithms for Intelligent Transportation Systems Applications by : Mohammad Saleh Javadi
Download or read book Computer Vision Algorithms for Intelligent Transportation Systems Applications written by Mohammad Saleh Javadi and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computer Vision in Vehicle Technology by : Antonio M. López
Download or read book Computer Vision in Vehicle Technology written by Antonio M. López and published by John Wiley & Sons. This book was released on 2017-02-17 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unified view of the use of computer vision technology for different types of vehicles Computer Vision in Vehicle Technology focuses on computer vision as on-board technology, bringing together fields of research where computer vision is progressively penetrating: the automotive sector, unmanned aerial and underwater vehicles. It also serves as a reference for researchers of current developments and challenges in areas of the application of computer vision, involving vehicles such as advanced driver assistance (pedestrian detection, lane departure warning, traffic sign recognition), autonomous driving and robot navigation (with visual simultaneous localization and mapping) or unmanned aerial vehicles (obstacle avoidance, landscape classification and mapping, fire risk assessment). The overall role of computer vision for the navigation of different vehicles, as well as technology to address on-board applications, is analysed. Key features: Presents the latest advances in the field of computer vision and vehicle technologies in a highly informative and understandable way, including the basic mathematics for each problem. Provides a comprehensive summary of the state of the art computer vision techniques in vehicles from the navigation and the addressable applications points of view. Offers a detailed description of the open challenges and business opportunities for the immediate future in the field of vision based vehicle technologies. This is essential reading for computer vision researchers, as well as engineers working in vehicle technologies, and students of computer vision.
Book Synopsis Video Based Machine Learning for Traffic Intersections by : Tania Banerjee
Download or read book Video Based Machine Learning for Traffic Intersections written by Tania Banerjee and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Video Based Machine Learning for Traffic Intersections describes the development of computer vision and machine learning-based applications for Intelligent Transportation Systems (ITS) and the challenges encountered during their deployment. This book presents several novel approaches, including a two-stream convolutional network architecture for vehicle detection, tracking, and near-miss detection; an unsupervised approach to detect near-misses in fisheye intersection videos using a deep learning model combined with a camera calibration and spline-based mapping method; and algorithms that utilize video analysis and signal timing data to accurately detect and categorize events based on the phase and type of conflict in pedestrian-vehicle and vehicle-vehicle interactions. The book makes use of a real-time trajectory prediction approach, combined with aligned Google Maps information, to estimate vehicle travel time across multiple intersections. Novel visualization software, designed by the authors to serve traffic practitioners, is used to analyze the efficiency and safety of intersections. The software offers two modes: a streaming mode and a historical mode, both of which are useful to traffic engineers who need to quickly analyze trajectories to better understand traffic behavior at an intersection. Overall, this book presents a comprehensive overview of the application of computer vision and machine learning to solve transportation-related problems. Video Based Machine Learning for Traffic Intersections demonstrates how these techniques can be used to improve safety, efficiency, and traffic flow, as well as identify potential conflicts and issues before they occur. The range of novel approaches and techniques presented offers a glimpse of the exciting possibilities that lie ahead for ITS research and development. Key Features: Describes the development and challenges associated with Intelligent Transportation Systems (ITS) Provides novel visualization software designed to serve traffic practitioners in analyzing the efficiency and safety of an intersection Has the potential to proactively identify potential conflict situations and develop an early warning system for real-time vehicle-vehicle and pedestrian-vehicle conflicts
Book Synopsis Fusion-layer-based Machine Vision for Intelligent Transportation Systems by : Yajun Fang (Ph. D.)
Download or read book Fusion-layer-based Machine Vision for Intelligent Transportation Systems written by Yajun Fang (Ph. D.) and published by . This book was released on 2010 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Environment understanding technology is very vital for intelligent vehicles that are expected to automatically respond to fast changing environment and dangerous situations. To obtain perception abilities, we should automatically detect static and dynamic obstacles, and obtain their related information, such as, locations, speed, collision/occlusion possibility, and other dynamic current/historic information. Conventional methods independently detect individual information, which is normally noisy and not very reliable. Instead we propose fusion-based and layered-based information-retrieval methodology to systematically detect obstacles and obtain their location/timing information for visible and infrared sequences. The proposed obstacle detection methodologies take advantage of connection between different information and increase the computational accuracy of obstacle information estimation, thus improving environment understanding abilities, and driving safety.
Author :Richard J. Becherer Publisher :SPIE-International Society for Optical Engineering ISBN 13 : Total Pages :344 pages Book Rating :4.3/5 (91 download)
Book Synopsis Intelligent Vehicle Highway Systems by : Richard J. Becherer
Download or read book Intelligent Vehicle Highway Systems written by Richard J. Becherer and published by SPIE-International Society for Optical Engineering. This book was released on 1995 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advances in Visual Computing by : George Bebis
Download or read book Advances in Visual Computing written by George Bebis and published by Springer. This book was released on 2014-12-02 with total page 880 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNCS 8887 and 8888 constitutes the refereed proceedings of the 10th International Symposium on Visual Computing, ISVC 2014, held in Las Vegas, NV, USA. The 74 revised full papers and 55 poster papers presented together with 39 special track papers were carefully reviewed and selected from more than 280 submissions. The papers are organized in topical sections: Part I (LNCS 8887) comprises computational bioimaging, computer graphics; motion, tracking, feature extraction and matching, segmentation, visualization, mapping, modeling and surface reconstruction, unmanned autonomous systems, medical imaging, tracking for human activity monitoring, intelligent transportation systems, visual perception and robotic systems. Part II (LNCS 8888) comprises topics such as computational bioimaging , recognition, computer vision, applications, face processing and recognition, virtual reality, and the poster sessions.
Book Synopsis Intelligent Image and Video Analytics by : El-Sayed M. El-Alfy
Download or read book Intelligent Image and Video Analytics written by El-Sayed M. El-Alfy and published by CRC Press. This book was released on 2023-04-12 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Video has rich information including meta-data, visual, audio, spatial and temporal data which can be analysed to extract a variety of low and high-level features to build predictive computational models using machine-learning algorithms to discover interesting patterns, concepts, relations, and associations. This book includes a review of essential topics and discussion of emerging methods and potential applications of video data mining and analytics. It integrates areas like intelligent systems, data mining and knowledge discovery, big data analytics, machine learning, neural network, and deep learning with focus on multimodality video analytics and recent advances in research/applications. Features: Provides up-to-date coverage of the state-of-the-art techniques in intelligent video analytics. Explores important applications that require techniques from both artificial intelligence and computer vision. Describes multimodality video analytics for different applications. Examines issues related to multimodality data fusion and highlights research challenges. Integrates various techniques from video processing, data mining and machine learning which has many emerging indoors and outdoors applications of smart cameras in smart environments, smart homes, and smart cities. This book aims at researchers, professionals and graduate students in image processing, video analytics, computer science and engineering, signal processing, machine learning, and electrical engineering.
Book Synopsis Vehicle Detection and Tracking by Computer Vision for Intelligent Transportation Applications by : Peijun Shi
Download or read book Vehicle Detection and Tracking by Computer Vision for Intelligent Transportation Applications written by Peijun Shi and published by . This book was released on 2003 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advances in Visual Computing by : George Bebis
Download or read book Advances in Visual Computing written by George Bebis and published by Springer. This book was released on 2014-12-02 with total page 989 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNCS 8887 and 8888 constitutes the refereed proceedings of the 10th International Symposium on Visual Computing, ISVC 2014, held in Las Vegas, NV, USA. The 74 revised full papers and 55 poster papers presented together with 39 special track papers were carefully reviewed and selected from more than 280 submissions. The papers are organized in topical sections: Part I (LNCS 8887) comprises computational bioimaging, computer graphics; motion, tracking, feature extraction and matching, segmentation, visualization, mapping, modeling and surface reconstruction, unmanned autonomous systems, medical imaging, tracking for human activity monitoring, intelligent transportation systems, visual perception and robotic systems. Part II (LNCS 8888) comprises topics such as computational bioimaging , recognition, computer vision, applications, face processing and recognition, virtual reality, and the poster sessions.
Book Synopsis Computer Vision-based Traffic Sign Detection and Extraction: a Hybrid Approach Using GIS and Machine Learning by : Zihao Wu
Download or read book Computer Vision-based Traffic Sign Detection and Extraction: a Hybrid Approach Using GIS and Machine Learning written by Zihao Wu and published by . This book was released on 2019 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: Author's abstract: Traffic sign detection and positioning have drawn considerable attention because of the recent development of autonomous driving and intelligent transportation systems. In order to detect and pinpoint traffic signs accurately, this research proposes two methods. In the first method, geo-tagged Google Street View images and road networks were utilized to locate traffic signs. In the second method, both traffic signs categories and locations were identified and extracted from the location-based GoPro video. TensorFlow is the machine learning framework used to implement these two methods. To that end, 363 stop signs were detected and mapped accurately using the first method (Google Street View image-based approach). Then 32 traffic signs were recognized and pinpointed using the second method (GoPro video-based approach) for better location accuracy, within 10 meters. The average distance from the observation points to the 32 ground truth references was 7.78 meters. The advantages of these methods were discussed. GoPro video-based approach has higher location accuracy, while Google Street View image-based approach is more accessible in most major cities around the world. The proposed traffic sign detection workflow can thus extract and locate traffic signs in other cities. For further consideration and development of this research, IMU (Inertial Measurement Unit) and SLAM (Simultaneous Localization and Mapping) methods could be integrated to incorporate more data and improve location prediction accuracy.
Book Synopsis Intelligent Multimedia Processing and Computer Vision by : Shyam Singh Rajput
Download or read book Intelligent Multimedia Processing and Computer Vision written by Shyam Singh Rajput and published by IET. This book was released on 2023-11-09 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent multimedia processing and computer vision have seen an upsurge in interest over the last few years. This book reviews cutting edge research in the areas of intelligent multimedia processing and computer vision techniques and applications with a particular emphasis on interdisciplinary approaches and novel solutions.
Book Synopsis Mobile and Stationary Computer Vision Based Traffic Surveillance Techniques for Advanced ITS Applications by : Meng Cao
Download or read book Mobile and Stationary Computer Vision Based Traffic Surveillance Techniques for Advanced ITS Applications written by Meng Cao and published by . This book was released on 2009 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation focuses on both mobile and stationary computer vision based traffic surveillance techniques, including the development of a new vision sensor, a survey and development of vision algorithms, as well as their applications in three different aspects of Intelligent Transportation System (ITS) areas with high quantitative requirements. Portable Loop Fault Detection. In this dissertation, a stationary-vision based technique has been developed as part of a Portable Loop Fault Detection Tool (PLFDT). This work is complementary to recent research focusing on aggregated faulty loop data at a macroscopic level (the macroscopic level generally considers a large roadway network as consisting of links (roadways) and nodes (e.g., intersections)). The objectives of the PLFDT is to develop a real time, multi-lane, multi-vehicle tracking system for freeways using video cameras as the baseline measurement technique to compare the loop detection signal for direct fault detection for inductive loop system.
Book Synopsis Advancements in Computer Vision Applications in Intelligent Systems and Multimedia Technologies by : Sarfraz, Muhammad
Download or read book Advancements in Computer Vision Applications in Intelligent Systems and Multimedia Technologies written by Sarfraz, Muhammad and published by IGI Global. This book was released on 2020-05-29 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Two significant areas of study that are continually impacting various dimensions in computer science are computer vision and imaging. These technologies are rapidly enhancing how information and data is being exchanged and opening numerous avenues of advancement within areas such as multimedia and intelligent systems. The high level of applicability in computer vision and image processing requires significant research on the specific utilizations of these technologies. Advancements in Computer Vision Applications in Intelligent Systems and Multimedia Technologies is an essential reference source that discusses innovative developments in computational imaging for solving real-life issues and problems and addresses their execution in various disciplines. Featuring research on topics such as image modeling, remote sensing, and support vector machines, this book is ideally designed for IT specialists, scientists, researchers, engineers, developers, practitioners, industry professionals, academicians, and students seeking coverage on the latest developments and innovations in computer vision applications within the realm of multimedia systems.
