People Recognition for Entering & Leaving a Video Surveillance Area

Author

Da-Jinn Wang ; Chao-Ho Chen ; Tsong-Yi Chen ; Chien-Tsung Lee

Author_Institution

Dept. of Inf. Manage., Nat. Kaohsiung Marine Univ., Kaohsiung, Taiwan

fYear

2009

fDate

7-9 Dec. 2009

Firstpage

334

Lastpage

337

Abstract

We proposed a people recognition method for moving people of entering & leaving a video surveillance area employing the spatial-based of single-pedestrian image in conjunction with color vector. The spatial-based is used because it is difference location for variance parts of the body. A histogram-based framework is used to describe the color vector of variance parts of the moving people. The method is able to tracking and identification successfully the moving people in different outdoor environment based on variance of samples. The experimental results illustrate that the method can automatically tracking and identification based on the moving people for entering & leaving a video surveillance area.

Keywords

image colour analysis; image motion analysis; object recognition; video surveillance; color vector; histogram based framework; moving people identification; moving people tracking; people recognition method; single pedestrian image; video surveillance area; Clothing; Face recognition; Fingerprint recognition; Head; Humans; Image recognition; Information management; Security; Torso; Video surveillance;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on

Conference_Location

Kaohsiung

Print_ISBN

978-1-4244-5543-0

Type

conf

DOI

10.1109/ICICIC.2009.293

Filename

5412551