A smart surveillance system with multiple people detection, tracking, and behavior analysis

Chia Jui Yang, Ting Chou, Fong An Chang, Chang Ssu-Yuan, Jiun-In  Guo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

This paper proposes an intelligence surveillance system in indoor environments, which support the functions of people detection, people tracking, and behavior analysis. Strong variation of lightness by switching lights and frequent crossing of people are two major design challenges of the proposed system, which will decrease the detection accuracy. Therefore, we propose a mechanism of updating background to react to the variation of lightness. Moreover, the ORB descriptor is added to be a unique feature of identifying people. It can make people tracking more precise during crossing. The proposed system is developed on PCs and implemented on embedded systems. On PCs with Intel i7@3.4GHz CPU running with a single core, we can reach the performance about D1 video at 22 fps. On an embedded system with ARM CortexA9@1.0GHz, we can achieve the performance about D1 video at 8 fps.

Original languageEnglish
Title of host publication2016 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467394987
DOIs
StatePublished - 31 May 2016
Event2016 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2016 - Hsinchu, Taiwan
Duration: 25 Apr 201627 Apr 2016

Publication series

Name2016 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2016

Conference

Conference2016 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2016
CountryTaiwan
CityHsinchu
Period25/04/1627/04/16

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