Moving Objects Detection Using Machine Learning (Paperback)

Language: English

Published by Springer Nature Switzerland AG, Cham, 2021

3030909093 / 9783030909093

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Paperback. This book shows how machine learning can detect moving objects in a digital video stream. The authors present different background subtraction approaches, foreground segmentation, and object tracking approaches to accomplish this. They also propose an algorithm that considers a multimodal background subtraction approach that can handle a dynamic background and different constraints. The authors show how the proposed algorithm is able to detect and track 2D & 3D objects in monocular sequences for both indoor and outdoor surveillance environments and at the same time, also able to work satisfactorily in a dynamic background and with challenging constraints. In addition, the shows how the proposed algorithm makes use of parameter optimization and adaptive threshold techniques as intrinsic improvements of the Gaussian Mixture Model. The presented system in the book is also able to handle partial occlusion during object detection and tracking. All the presented work and evaluations were carried out in offline processing with the computation done by a single laptop computer with MATLAB serving as software environment. The authors show how the proposed algorithm is able to detect and track 2D & 3D objects in monocular sequences for both indoor and outdoor surveillance environments and at the same time, also able to work satisfactorily in a dynamic background and with challenging constraints. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Title
Moving Objects Detection Using Machine Learning (Paperback)
Author
Navneet Ghedia
Publisher
Springer Nature Switzerland AG, Cham
Publication year
2021
Condition
new
Binding
Paperback
Language
English
ISBN 10
3030909093
ISBN 13
9783030909093
Edition
1st Edition

AussieBookSeller

Truganina, VIC, Australia

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AbeBooks seller since June 22, 2007

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