People tracking and abnormal situation detection in the open space

Shen Chuan Tai, Hung Hsiang Wang, Yu Tzu Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recently, social security problem in the public place is more important, ex. Stealing, losing and some dangerous action, and how to detect and prevent them on demand now is an important task. In this paper, we present a method of tracking objects and detecting abnormal situation in the open space. Usually, background model will determine a robust foreground region. Therefore, we first propose a new algorithm to estimate background. Then, a new tracking people algorithm will propose. It not only can track people, but also can recognize people from merge to split. Final, we will detect abnormal situation in the open space. The method is computationally fast enough to track people in real time.

Original languageEnglish
Title of host publication2005 International Conference on Wireless Networks, Communications and Mobile Computing
Pages1367-1370
Number of pages4
DOIs
Publication statusPublished - 2005 Dec 1
Event2005 International Conference on Wireless Networks, Communications and Mobile Computing - Maui, HI, United States
Duration: 2005 Jun 132005 Jun 16

Publication series

Name2005 International Conference on Wireless Networks, Communications and Mobile Computing
Volume2

Other

Other2005 International Conference on Wireless Networks, Communications and Mobile Computing
CountryUnited States
CityMaui, HI
Period05-06-1305-06-16

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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