9781032565170 - video based machine learning for traffic intersections de banerjee, tania; huang, xiaohui; wu, aotian; chen, ke; rangarajan, anand; ranka, sanjay (15 resultados)
Video Based Machine Learning for Traffic Intersections
Banerjee, Tania; Huang, Xiaohui; Wu, Aotian; Chen, Ke; Rangarajan, Anand
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Librería: GreatBookPrices, Columbia, Estados Unidos de AmericaGreatBookPrices
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Video Based Machine Learning for Traffic Intersections
Banerjee, Tania; Huang, Xiaohui; Wu, Aotian; Chen, Ke; Rangarajan, Anand
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Librería: GreatBookPrices, Columbia, Estados Unidos de AmericaGreatBookPrices
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Video Based Machine Learning for Traffic Intersections
Banerjee, Tania; Huang, Xiaohui; Wu, Aotian; Chen, Ke; Rangarajan, Anand; Ranka, Sanjay
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Librería: California Books, Miami, Estados Unidos de AmericaCalifornia Books
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Video Based Machine Learning for Traffic Intersections
Banerjee, Tania; Huang, Xiaohui; Wu, Aotian; Chen, Ke; Rangarajan, Anand
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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Video Based Machine Learning for Traffic Intersections
Banerjee, Tania; Huang, Xiaohui; Wu, Aotian; Chen, Ke; Rangarajan, Anand; Ranka, Sanjay
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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Condición: New. pages cm.
Video Based Machine Learning for Traffic Intersections
Banerjee, Tania; Huang, Xiaohui; Wu, Aotian; Chen, Ke; Rangarajan, Anand
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 68,42
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Condición: As New. Unread book in perfect condition.
Video Based Machine Learning for Traffic Intersections
Banerjee, Tania; Huang, Xiaohui; Wu, Aotian; Chen, Ke; Rangarajan, Anand; Ranka, Sanjay
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Librería: Books Puddle, New York, Estados Unidos de AmericaBooks Puddle
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EUR 84,51
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Condición: New. pages cm First Includes bibliographical references and index.
Video Based Machine Learning for Traffic Intersections
Banerjee, Tania; Huang, Xiaohui; Wu, Aotian; Chen, Ke; Rangarajan, Anand; Ranka, Sanjay
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Librería: Biblios, frankfurt am main, AlemaniaBiblios
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EUR 82,52
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Condición: New. pages cm.
Video Based Machine Learning for Traffic Intersections
Banerjee, Tania/ Huang, Xiaohui/ Wu, Aotian/ Chen, Ke/ Rangarajan, Anand
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 99,06
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Paperback. Condición: Brand New. 194 pages. 9.18x6.12x9.21 inches. In Stock.
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Librería: Grand Eagle Retail, Bensenville, Estados Unidos de AmericaGrand Eagle Retail
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EUR 59,28
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Paperback. Condición: new. Paperback. 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, includ…ing 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 intersectionHas the potential to proactively identify potential conflict situations and develop an early warning system for real-time vehicle-vehicle and pedestrian-vehicle conflicts 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Librería: PBShop.store US, Wood Dale, Estados Unidos de AmericaPBShop.store US
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EUR 82,80
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PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Librería: PBShop.store UK, Fairford, Reino UnidoPBShop.store UK
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EUR 79,42
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PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 60,74
Envío por EUR 42,79Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. 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, includ…ing 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 intersectionHas the potential to proactively identify potential conflict situations and develop an early warning system for real-time vehicle-vehicle and pedestrian-vehicle conflicts 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Librería: AussieBookSeller, Truganina, AustraliaAussieBookSeller
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EUR 123,99
Envío por EUR 32,09Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. 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, includ…ing 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 intersectionHas the potential to proactively identify potential conflict situations and develop an early warning system for real-time vehicle-vehicle and pedestrian-vehicle conflicts 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 99,46
Envío por EUR 61,52Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 deployme…nt. This book presents several novel approaches.
