Moving objects detection using machine learning / Navneet Ghedia, Chandresh Vithalani, Ashish M. Kothari, Rohit M. Thanki.
Ghedia, Navneet, author.; Vithalani, Chandresh, author.; Kothari, Ashish, author.; Thanki, Rohit M., author.
2022
Q325.5
Available Online

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Title Moving objects detection using machine learning / Navneet Ghedia, Chandresh Vithalani, Ashish M. Kothari, Rohit M. Thanki.
Author Ghedia, Navneet, author.
ISBN 9783030909109 (electronic bk.)
3030909107 (electronic bk.)
9783030909093 (print)
3030909093
DOI https://doi.org/10.1007/978-3-030-90910-9
Published Cham, Switzerland : Springer, 2022.
Language English
Description 1 online resource (vii, 85 pages) : illustrations (some color).
Item Number 10.1007/978-3-030-90910-9 doi
Call Number Q325.5
Dewey Decimal Classification 006.3/1
Summary 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.
Note Includes index.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed January 7, 2022).
Added Author Vithalani, Chandresh, author.
Kothari, Ashish, author.
Thanki, Rohit M., author.
Series SpringerBriefs in electrical and computer engineering, 2191-8120
Available in Other Form Moving Objects Detection Using Machine Learning
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Record Appears in Online Resources > Ebooks
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Chapter1. Introduction
Chapter2. Existing Research in Video Surveillance System
Chapter3. Background Modeling
Chapter4. Object Tracking
Chapter5. Summary of Book.

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