DocumentCode
1931117
Title
Moving Human Body Detection in Video Sequences
Author
Li, Chun-Ming ; Li, Yu-Shan ; Wang, Shu-hai ; Zhang, Xiu-qing
Author_Institution
Hebei Univ. of Sci. & Technol., Shijiazhuang
Volume
4
fYear
2007
fDate
19-22 Aug. 2007
Firstpage
2188
Lastpage
2192
Abstract
A human body detection algorithm based on the combination of moving information with shape information is proposed in the paper. Firstly, Eigen-object computed from three frames in the initial video sequences is used to detect the moving object. Secondly, the shape information of human body is used to classify human and other object. Furthermore, the occlusion between two objects during a short time is processed by using continues multiple frames. The advantages of the algorithm are accurately moving object detection, and the detection result doesn´t effect by body pose. Moreover, as the shadow of moving object has been eliminated in the detection step, the human body extracted doesn´t effect by shadow.
Keywords
eigenvalues and eigenfunctions; image motion analysis; image sequences; object detection; video signal processing; human body detection algorithm; moving human body detection; moving object detection; shape information; video sequences; Cybernetics; Detection algorithms; Humans; Machine learning; Motion detection; Object detection; Quantum computing; Shape; Surveillance; Video sequences; Eigen-object; Human body detection; Moving detection; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-0973-0
Electronic_ISBN
978-1-4244-0973-0
Type
conf
DOI
10.1109/ICMLC.2007.4370508
Filename
4370508
Link To Document