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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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- PublisherNoor Publishing
- Publication date2020
- ISBN 10 6200781524
- ISBN 13 9786200781529
- BindingPaperback
- LanguageEnglish
- Number of pages188
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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 (Paperback or Softback)
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Real Time Multi Object Detection and Tracking Using Deep Learning
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ISBN 10: 6200781524
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Taschenbuch. Condition: 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. Seller Inventory # 9786200781529
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Real Time Multi Object Detection and Tracking Using Deep Learning
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Taschenbuch. Condition: 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. Seller Inventory # 9786200781529
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Real Time Multi Object Detection and Tracking Using Deep Learning
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Condition: 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), . Seller Inventory # 406092086
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Real Time Multi Object Detection and Tracking Using Deep Learning
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