Vehicle Detection and Classification in Intelligent Transportation System PDF Download
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Author: Yufang Zhang
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 140
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Book Description
Author: Yufang Zhang
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 140
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Book Description
Author: Kyandoghere Kyamakya
Publisher: MDPI
ISBN: 3036508481
Category : Technology & Engineering
Languages : en
Pages : 494
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Book Description
Building around innovative services related to different modes of transport and traffic management, intelligent transport systems (ITS) are being widely adopted worldwide to improve the efficiency and safety of the transportation system. They enable users to be better informed and make safer, more coordinated, and smarter decisions on the use of transport networks. Current ITSs are complex systems, made up of several components/sub-systems characterized by time-dependent interactions among themselves. Some examples of these transportation-related complex systems include: road traffic sensors, autonomous/automated cars, smart cities, smart sensors, virtual sensors, traffic control systems, smart roads, logistics systems, smart mobility systems, and many others that are emerging from niche areas. The efficient operation of these complex systems requires: i) efficient solutions to the issues of sensors/actuators used to capture and control the physical parameters of these systems, as well as the quality of data collected from these systems; ii) tackling complexities using simulations and analytical modelling techniques; and iii) applying optimization techniques to improve the performance of these systems.
Author: Luz Elena Yañez Mimbela
Publisher:
ISBN:
Category : Detectors
Languages : en
Pages : 0
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Book Description
Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1799853403
Category : Computers
Languages : en
Pages : 2700
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Book Description
Distributed systems intertwine with our everyday lives. The benefits and current shortcomings of the underpinning technologies are experienced by a wide range of people and their smart devices. With the rise of large-scale IoT and similar distributed systems, cloud bursting technologies, and partial outsourcing solutions, private entities are encouraged to increase their efficiency and offer unparalleled availability and reliability to their users. The Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing is a vital reference source that provides valuable insight into current and emergent research occurring within the field of distributed computing. It also presents architectures and service frameworks to achieve highly integrated distributed systems and solutions to integration and efficient management challenges faced by current and future distributed systems. Highlighting a range of topics such as data sharing, wireless sensor networks, and scalability, this multi-volume book is ideally designed for system administrators, integrators, designers, developers, researchers, academicians, and students.
Author: Robert P. Loce
Publisher: John Wiley & Sons
ISBN: 1118971655
Category : Technology & Engineering
Languages : en
Pages : 657
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Book Description
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.
Author: Amol Ashok Ambardekar
Publisher:
ISBN:
Category : Electronic books
Languages : en
Pages : 240
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Book Description
Video surveillance has significant application prospects such as security, law enforcement, and traffic monitoring. Visual traffic surveillance using computer vision techniques can be non-invasive, cost effective and automated. Detecting and recognizing the objects in a video is an important part of many video surveillance systems which can help in tracking of the detected objects and gathering important information. In case of traffic video surveillance, vehicle detection and classification is important as it can help in traffic control and gathering of traffic statistics that can be used in intelligent transportation systems. Vehicle classification poses a difficult problem as vehicles have high intra class variation and relatively low inter class variation. In this work, we investigate five different object recognition techniques: PCA+DFVS, PCA+DIVS, PCA+SVM, LDA, and constellation based modeling applied to the problem of vehicle classification. We also compare them with the state-of-the-art techniques in vehicle classification. In case of the PCA based approaches, we extend face detection using a PCA approach for the problem of vehicle classification to carry out multi-class classification. We also implement constellation model-based approach that uses the dense representation of SIFT features. We consider three classes: sedans, vans, and taxis and record classification accuracy as high as 99.25% in case of cars vs vans and 97.57% in case of sedans vs taxis . We also present a fusion approach that uses both PCA+DFVS and PCA+DIVS and achieves classification accuracy of 96.42% in case of sedans vs vans vs taxis. We incorporated three of the techniques that performed well into a unified traffic surveillance system for online classification of vehicles which uses tracking results to improve the classification accuracy. We processed 31 minutes of traffic video containing multi-lane traffic intersection to evaluate the accuracy of the system. We were able to achieve classification accuracy as high as 90.49% while classifying correctly tracked vehicles into four classes: Cars, SUVs/Vans, Pickup Trucks, and Buses/Semis . While processing a video, our system also records important traffic parameters such as color of a vehicle, speed of a vehicle, etc. This information was later used in a search assistant tool (SAT) to find interesting traffic events. For the evaluation of video surveillance applications that employ an object classification module, it is important to establish the ground truth. However, it is a time consuming process when done manually. We developed a ground truth verification tool (GTVT) that can help in this process by automating some of the work.
Author: Manuel A. Armada
Publisher: Springer Science & Business Media
ISBN: 3319034138
Category : Technology & Engineering
Languages : en
Pages : 722
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Book Description
This book contains the proceedings of the ROBOT 2013: FIRST IBERIAN ROBOTICS CONFERENCE and it can be said that included both state of the art and more practical presentations dealing with implementation problems, support technologies and future applications. A growing interest in Assistive Robotics, Agricultural Robotics, Field Robotics, Grasping and Dexterous Manipulation, Humanoid Robots, Intelligent Systems and Robotics, Marine Robotics, has been demonstrated by the very relevant number of contributions. Moreover, ROBOT2013 incorporates a special session on Legal and Ethical Aspects in Robotics that is becoming a topic of key relevance. This Conference was held in Madrid (28-29 November 2013), organized by the Sociedad Española para la Investigación y Desarrollo en Robótica (SEIDROB) and by the Centre for Automation and Robotics - CAR (Universidad Politécnica de Madrid (UPM) and Consejo Superior de Investigaciones Científicas (CSIC)), along with the co-operation of Grupo Temático de Robótica CEA-GTRob, "Sociedade Portuguesa de Robotica" (SPR), "Asociación Española de Promoción de la Investigación en Agentes Físicos" (RedAF), and partially supported by "Comunidad de Madrid under RoboCity2030 Programme".
Author: Robert P. Loce
Publisher: John Wiley & Sons
ISBN: 1118971647
Category : Technology & Engineering
Languages : en
Pages : 432
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Book Description
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.
Author: Tania Banerjee
Publisher: CRC Press
ISBN: 1000969703
Category : Computers
Languages : en
Pages : 194
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Book Description
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
Author: Smithaj A
Publisher: Mohd Abdul Hafi
ISBN:
Category : Computers
Languages : en
Pages : 0
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Book Description
Intelligent Transport Systems (ITS) is the concept for the construction of a Transport Infrastructure that involves a driven data, telecommunications network for consumers, roads and automobiles. Video Detection is most widespread used in the Intelligent Transportation System (ITS) as it plays a key role in Transportation System. Dynamic modifications of background images due to environment, lightening, shadows make it inconvenient in detecting and tracking moving vehicles from the videos. Therefore, the moving background objects, brightness variation and vehicle adhesion create several challenges in the detection of moving vehicle. To minimize the problem, automatic moving vehicle detection is discussed in this thesis. This chapter consists of background of ITS system, Moving Vehicle System, Tracking Algorithms and applications. It also discusses the problems in Vehicle Detection System, followed by the Research Objective and Thesis Organization.
