DocumentCode :
3449408
Title :
The localization algorithm of human body based on omnidirectional vision
Author :
Zhang Jian ; Xu Binhui ; Lu Jin
Author_Institution :
Coll. of Inf. Eng., Zhejiang Univ. of Technol., Hangzhou, China
Volume :
2
fYear :
2011
fDate :
20-22 Aug. 2011
Firstpage :
172
Lastpage :
176
Abstract :
In order to meet the needs of moving object localization in real applications, a novel method of human localization based on the omnidirectional vision is introduced in this paper. Firstly, the detection and division of human area is implemented by background subtraction technique and algorithm of connected area labeling in binary image; Then the feet point is obtained according to the imaging characteristics of human body in omnidirectional image. Finally, based on the extracted feet point, the mapping relation between the image plane and the real world plane is obtained through the imaging principle of omnidirectional vision equipment; the position of human body on the ground is obtained. The experiment result shows that this technique is simple and accurate.
Keywords :
computer vision; feature extraction; image motion analysis; video signal processing; video surveillance; background subtraction technique; binary image; connected area labeling algorithm; feet point extraction; human area detection; human area division; human body localization algorithm; moving object localization; omnidirectional vision; omnidirectional vision equipment imaging principle; video surveillance; Cameras; Educational institutions; Equations; Humans; Mathematical model; Measurement uncertainty; Human detection; Human localization; Omnidirectional Vision; the extraction of feet point;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-8622-9
Type :
conf
DOI :
10.1109/ITAIC.2011.6030303
Filename :
6030303
Link To Document :
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