Effective bi-directional people flow counting for real time surveillance system

Kin Yi Yam; Wan Chi Siu; Ngai Fong Law; Chok Ki Chan

doi:10.1109/ICCE.2011.5722907

Effective bi-directional people flow counting for real time surveillance system

Kin Yi Yam, Wan Chi Siu, Ngai Fong Law, Chok Ki Chan

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

27 Citations (Scopus)

Abstract

In this paper, an object based bi-directional counting system is proposed, which comprises of an advanced object detection and tracking algorithm to count the people flow in the monitoring scene. The result of which shows that the approach can provide about 90% accuracy for bi-directional people counting with an angle of 45° to the scene.

Original language	English
Title of host publication	2011 IEEE International Conference on Consumer Electronics, ICCE 2011
Pages	863-864
Number of pages	2
DOIs	https://doi.org/10.1109/ICCE.2011.5722907
Publication status	Published - 28 Mar 2011
Event	2011 IEEE International Conference on Consumer Electronics, ICCE 2011 - Las Vegas, NV, United States Duration: 9 Jan 2011 → 12 Jan 2011

Conference

Conference	2011 IEEE International Conference on Consumer Electronics, ICCE 2011
Country/Territory	United States
City	Las Vegas, NV
Period	9/01/11 → 12/01/11

Keywords

Bi-directional counting
Counting algorithm
Scene calibration and object detection
Surveillance system

ASJC Scopus subject areas

Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

More information

10.1109/ICCE.2011.5722907

Cite this

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title = "Effective bi-directional people flow counting for real time surveillance system",

abstract = "In this paper, an object based bi-directional counting system is proposed, which comprises of an advanced object detection and tracking algorithm to count the people flow in the monitoring scene. The result of which shows that the approach can provide about 90% accuracy for bi-directional people counting with an angle of 45° to the scene.",

keywords = "Bi-directional counting, Counting algorithm, Scene calibration and object detection, Surveillance system",

author = "Yam, {Kin Yi} and Siu, {Wan Chi} and Law, {Ngai Fong} and Chan, {Chok Ki}",

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doi = "10.1109/ICCE.2011.5722907",

language = "English",

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booktitle = "2011 IEEE International Conference on Consumer Electronics, ICCE 2011",

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Yam, KY, Siu, WC, Law, NF & Chan, CK 2011, Effective bi-directional people flow counting for real time surveillance system. in 2011 IEEE International Conference on Consumer Electronics, ICCE 2011., 5722907, pp. 863-864, 2011 IEEE International Conference on Consumer Electronics, ICCE 2011, Las Vegas, NV, United States, 9/01/11. https://doi.org/10.1109/ICCE.2011.5722907

Effective bi-directional people flow counting for real time surveillance system. / Yam, Kin Yi; Siu, Wan Chi; Law, Ngai Fong et al.
2011 IEEE International Conference on Consumer Electronics, ICCE 2011. 2011. p. 863-864 5722907.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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Effective bi-directional people flow counting for real time surveillance system

Abstract

Conference

Keywords

ASJC Scopus subject areas

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