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Synopsis
The era of digitization has paved the way for the emergence of multimedia technologies. The multimedia applications use a large video database. Applications such as video surveillance, traffic monitoring and live streaming of events need continuous monitoring of the video. Thus the video surveillance system for tracking multiple target objects from videos is one of the important research works. Video surveillance has many challenges such as inter-object occlusion, object confusion, different posing, environment with heavy clutter, the small size of objects, similar appearance among objects, and interaction among the multiple objects. The hybrid tracking model utilizes the spatial tracking model, based on the tangential weighed function and the visual tracking model based on the second derivative model.
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- ÉditeurNoor Publishing
- Date d'édition2020
- ISBN 10 6200781524
- ISBN 13 9786200781529
- ReliureBroché
- Langueanglais
- Nombre de pages188
- Coordonnées du fabricantnon disponible
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Real Time Multi Object Detection and Tracking Using Deep Learning
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Philip Felix MDr. Felix M Philip is an Assistant Professor in CS & IT department at JAIN (Deemed-to-be University), Kochi. Bosco Paul Alapatt (Ph.D.) is an Assistant Professor in CS &IT department at JAIN (Deemed-to-be University), . N° de réf. du vendeur 406092086
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Real Time Multi Object Detection and Tracking Using Deep Learning
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Real Time Multi Object Detection and Tracking Using Deep Learning
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Noor Publishing Aug 2020, 2020
ISBN 10 : 6200781524
ISBN 13 : 9786200781529
Neuf
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The era of digitization has paved the way for the emergence of multimedia technologies. The multimedia applications use a large video database. Applications such as video surveillance, traffic monitoring and live streaming of events need continuous monitoring of the video. Thus the video surveillance system for tracking multiple target objects from videos is one of the important research works. Video surveillance has many challenges such as inter-object occlusion, object confusion, different posing, environment with heavy clutter, the small size of objects, similar appearance among objects, and interaction among the multiple objects. The hybrid tracking model utilizes the spatial tracking model, based on the tangential weighed function and the visual tracking model based on the second derivative model. 188 pp. Englisch. N° de réf. du vendeur 9786200781529
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Real Time Multi Object Detection and Tracking Using Deep Learning
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The era of digitization has paved the way for the emergence of multimedia technologies. The multimedia applications use a large video database. Applications such as video surveillance, traffic monitoring and live streaming of events need continuous monitoring of the video. Thus the video surveillance system for tracking multiple target objects from videos is one of the important research works. Video surveillance has many challenges such as inter-object occlusion, object confusion, different posing, environment with heavy clutter, the small size of objects, similar appearance among objects, and interaction among the multiple objects. The hybrid tracking model utilizes the spatial tracking model, based on the tangential weighed function and the visual tracking model based on the second derivative model. N° de réf. du vendeur 9786200781529
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Paperback or Softback. Etat : New. Real Time Multi Object Detection and Tracking Using Deep Learning 0.62. Book. N° de réf. du vendeur BBS-9786200781529
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Real Time Multi Object Detection and Tracking Using Deep Learning
Edité par
Noor Publishing Aug 2020, 2020
ISBN 10 : 6200781524
ISBN 13 : 9786200781529
Neuf
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Taschenbuch. Etat : Neu. Neuware -The era of digitization has paved the way for the emergence of multimedia technologies. The multimedia applications use a large video database. Applications such as video surveillance, traffic monitoring and live streaming of events need continuous monitoring of the video. Thus the video surveillance system for tracking multiple target objects from videos is one of the important research works. Video surveillance has many challenges such as inter-object occlusion, object confusion, different posing, environment with heavy clutter, the small size of objects, similar appearance among objects, and interaction among the multiple objects. The hybrid tracking model utilizes the spatial tracking model, based on the tangential weighed function and the visual tracking model based on the second derivative model.Books on Demand GmbH, Überseering 33, 22297 Hamburg 188 pp. Englisch. N° de réf. du vendeur 9786200781529
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