People tracking and abnormal situation detection in the open space

Shen Chuan Tai; Hung Hsiang Wang; Yu Tzu Chen

doi:10.1109/WIRLES.2005.1549612

People tracking and abnormal situation detection in the open space

Shen Chuan Tai, Hung Hsiang Wang, Yu Tzu Chen

Institute of Computer and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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 language	English
Title of host publication	2005 International Conference on Wireless Networks, Communications and Mobile Computing
Pages	1367-1370
Number of pages	4
DOIs	https://doi.org/10.1109/WIRLES.2005.1549612
Publication status	Published - 2005
Event	2005 International Conference on Wireless Networks, Communications and Mobile Computing - Maui, HI, United States Duration: 2005 Jun 13 → 2005 Jun 16

Publication series

Name	2005 International Conference on Wireless Networks, Communications and Mobile Computing
Volume	2

Other

Other	2005 International Conference on Wireless Networks, Communications and Mobile Computing
Country/Territory	United States
City	Maui, HI
Period	05-06-13 → 05-06-16

All Science Journal Classification (ASJC) codes

Engineering(all)

Access to Document

10.1109/WIRLES.2005.1549612

Cite this

Tai, S. C., Wang, H. H., & Chen, Y. T. (2005). People tracking and abnormal situation detection in the open space. In 2005 International Conference on Wireless Networks, Communications and Mobile Computing (pp. 1367-1370). [1549612] (2005 International Conference on Wireless Networks, Communications and Mobile Computing; Vol. 2). https://doi.org/10.1109/WIRLES.2005.1549612

@inproceedings{664d299aee0747a3a7d61cf4e44ac0d4,

title = "People tracking and abnormal situation detection in the open space",

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.",

author = "Tai, {Shen Chuan} and Wang, {Hung Hsiang} and Chen, {Yu Tzu}",

year = "2005",

doi = "10.1109/WIRLES.2005.1549612",

language = "English",

isbn = "0780393058",

series = "2005 International Conference on Wireless Networks, Communications and Mobile Computing",

pages = "1367--1370",

booktitle = "2005 International Conference on Wireless Networks, Communications and Mobile Computing",

note = "2005 International Conference on Wireless Networks, Communications and Mobile Computing ; Conference date: 13-06-2005 Through 16-06-2005",

}

Tai, SC, Wang, HH & Chen, YT 2005, People tracking and abnormal situation detection in the open space. in 2005 International Conference on Wireless Networks, Communications and Mobile Computing., 1549612, 2005 International Conference on Wireless Networks, Communications and Mobile Computing, vol. 2, pp. 1367-1370, 2005 International Conference on Wireless Networks, Communications and Mobile Computing, Maui, HI, United States, 05-06-13. https://doi.org/10.1109/WIRLES.2005.1549612

People tracking and abnormal situation detection in the open space. / Tai, Shen Chuan; Wang, Hung Hsiang; Chen, Yu Tzu.

2005 International Conference on Wireless Networks, Communications and Mobile Computing. 2005. p. 1367-1370 1549612 (2005 International Conference on Wireless Networks, Communications and Mobile Computing; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - People tracking and abnormal situation detection in the open space

AU - Tai, Shen Chuan

AU - Wang, Hung Hsiang

AU - Chen, Yu Tzu

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

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M3 - Conference contribution

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SN - 9780780393059

T3 - 2005 International Conference on Wireless Networks, Communications and Mobile Computing

SP - 1367

EP - 1370

BT - 2005 International Conference on Wireless Networks, Communications and Mobile Computing

T2 - 2005 International Conference on Wireless Networks, Communications and Mobile Computing

Y2 - 13 June 2005 through 16 June 2005

ER -

People tracking and abnormal situation detection in the open space

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All Science Journal Classification (ASJC) codes

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