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