Moving Objects Detection Using Machine Learning

Language: English

Published by Springer, Springer Dez 2021, 2021

3030909093 / 9783030909093

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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 96 pp. Englisch.…

Seller Inventory # 9783030909093

Title
Moving Objects Detection Using Machine Learning
Author
Navneet Ghedia
Publisher
Springer, Springer Dez 2021
Publication year
2021
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3030909093
ISBN 13
9783030909093
Item weight
160 grams
Dimensions
235x155x6 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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AbeBooks seller since January 23, 2017

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