Improved abnormal detection using self-adaptive social force model for visual surveillance

Improved abnormal detection using self-adaptive social force model for visual surveillance

With the growth of technology in computer vision, there is a great demand for an automated surveillance system in replaced to the traditional visual surveillance. The automated surveillance system is a system that monitors the behavior and activities of the crowd whether it is normal or not. The ab...

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Bibliographic Details
Main Author: Wan Nur Azhani, W. Samsudin
Format: Thesis
Language:English
Published: 2017
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/19601/
http://umpir.ump.edu.my/id/eprint/19601/19/Improved%20abnormal%20detection%20using%20self-adaptive%20social%20force%20model%20for%20visual%20surveillance.pdf

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