Volume 5 Number 12 (Dec. 2010)
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JSW 2010 Vol.5(12): 1342-1348 ISSN: 1796-217X
doi: 10.4304/jsw.5.12.1342-1348

People Recognition for Entering and Leaving a Video Surveillance Area

Da-Jinn Wang1, Chao-Ho (Thou-Ho) Chen2, Chien-Tsung Lee2
1Department of Information Management National Kaohsiung Marine University, Kaohsiung, Taiwan 811, R.O.C
2National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan 807, R.O.C

Abstract—The authors proposed a people recognition method for moving people of entering and leaving a video surveillance area employing the spatial-based feature of single-pedestrian image in conjunction with color vector. The spatial-based features are employed for its different location from variant parts of the human body. A histogram-based framework is used to describe the color vector of variant parts of the moving people. This method is able to track and identify the moving people successfully in different outdoor environment based on variance of samples. A series of experimental results illustrate that this method can track and identify automatically while the moving people enter or leave a video surveillance area.

Index Terms—computer vision, video segmentation, color-vector, object tracking, people recognition.


Cite: Da-Jinn Wang, Chao-Ho (Thou-Ho) Chen, Chien-Tsung Lee, "People Recognition for Entering and Leaving a Video Surveillance Area," Journal of Software vol. 5, no. 12, pp. 1342-1348, 2010.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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