A video surveillance systemfor people detection and number estimation

Nai Jen Li; Chun Fu Chuang; Yu Ting Wei; Wen June Wang; Hsiang Chieh Chen

doi:10.1109/iFUZZY.2012.6409710

A video surveillance systemfor people detection and number estimation

Nai Jen Li, Chun Fu Chuang, Yu Ting Wei, Wen June Wang, Hsiang Chieh Chen

Research output: Contribution to conference › Paper › peer-review

6 Scopus citations

Abstract

This paper proposes a method to detect people and estimate the number of the people in a supermarket for energy-saving. By using background subtraction technique to extract foreground, and utilizing the foreground to match adjustable standard template, the method detects people and eliminates non-human objects. Simultaneously, the people positions can be marked in the image. The experiment results show that the proposed method has good performance on people detection and counting in the surveillance camera of the supermarket.

Original language	English
Pages	249-253
Number of pages	5
DOIs	https://doi.org/10.1109/iFUZZY.2012.6409710
State	Published - 2012
Event	2012 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2012 - Taichung, Taiwan Duration: 16 Nov 2012 → 18 Nov 2012

Conference

Conference	2012 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2012
Country/Territory	Taiwan
City	Taichung
Period	16/11/12 → 18/11/12

Keywords

Number estimation
People detection
Video surveillance camera

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10.1109/iFUZZY.2012.6409710

Cite this

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N2 - This paper proposes a method to detect people and estimate the number of the people in a supermarket for energy-saving. By using background subtraction technique to extract foreground, and utilizing the foreground to match adjustable standard template, the method detects people and eliminates non-human objects. Simultaneously, the people positions can be marked in the image. The experiment results show that the proposed method has good performance on people detection and counting in the surveillance camera of the supermarket.

AB - This paper proposes a method to detect people and estimate the number of the people in a supermarket for energy-saving. By using background subtraction technique to extract foreground, and utilizing the foreground to match adjustable standard template, the method detects people and eliminates non-human objects. Simultaneously, the people positions can be marked in the image. The experiment results show that the proposed method has good performance on people detection and counting in the surveillance camera of the supermarket.

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KW - Video surveillance camera

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A video surveillance systemfor people detection and number estimation

Abstract

Conference

Keywords

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Cite this