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Object tracking technology = trends,...

Kumar, Ashish.

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Object tracking technology = trends, challenges and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Object tracking technology/ edited by Ashish Kumar ... [et al.].
其他題名:	trends, challenges and applications /
其他作者:	Kumar, Ashish.
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	xiv, 274 p. :ill., digital ;24 cm.
內容註:	Single Object Detection from Video Streaming -- Different Approaches to Background Subtraction and Object Tracking in Video Streams: A Review -- Auto Alignment of Tanker Loading Arm Utilizing Stereo-Vision Video and 3D Euclidean Scene Reconstruction -- Visual Object Segmentation Improvement using Deep Convolutional Neural Networks -- Applications of Deep Learning based Methods on Surveillance Video Stream by Tracking Various Suspicious Activities -- Hardware Design Aspects of Visual Tracking System -- Automatic Helmet (Object) Detection and Tracking the Riders using Kalman Filter Technique -- Deep Learning based Multi-Object Tracking -- Multiple Object Tracking of Autonomous Vehicles for Sustainable and Smart Cities -- Multi Object Detection: A Social Distancing Monitoring System -- Investigating Two Stage Detection Methods Using Traffic Light Detection Dataset.
Contained By:	Springer Nature eBook
標題:	Computer vision. -
電子資源:	https://doi.org/10.1007/978-981-99-3288-7
ISBN:	9789819932887

Object tracking technology = trends, challenges and applications /
Object tracking technologytrends, challenges and applications /[electronic resource] :edited by Ashish Kumar ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xiv, 274 p. :ill., digital ;24 cm. - Contributions to environmental sciences & innovative business technology,2731-8311. - Contributions to environmental sciences & innovative business technology..

Single Object Detection from Video Streaming -- Different Approaches to Background Subtraction and Object Tracking in Video Streams: A Review -- Auto Alignment of Tanker Loading Arm Utilizing Stereo-Vision Video and 3D Euclidean Scene Reconstruction -- Visual Object Segmentation Improvement using Deep Convolutional Neural Networks -- Applications of Deep Learning based Methods on Surveillance Video Stream by Tracking Various Suspicious Activities -- Hardware Design Aspects of Visual Tracking System -- Automatic Helmet (Object) Detection and Tracking the Riders using Kalman Filter Technique -- Deep Learning based Multi-Object Tracking -- Multiple Object Tracking of Autonomous Vehicles for Sustainable and Smart Cities -- Multi Object Detection: A Social Distancing Monitoring System -- Investigating Two Stage Detection Methods Using Traffic Light Detection Dataset.

ISBN: 9789819932887

Standard No.: 10.1007/978-981-99-3288-7doiSubjects--Topical Terms:

540671
Computer vision.

LC Class. No.: TA1634

Dewey Class. No.: 006.37

Object tracking technology = trends, challenges and applications /
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