Detection of moving objects by independent component analysis

Authors:
Masaki Yamazaki;Gang Xu;Yen-Wei Chen
Affiliations:
Faculty of Information Science and Engineering, Ritsumeikan University, Shiga, Japan;Faculty of Information Science and Engineering, Ritsumeikan University, Shiga, Japan;Faculty of Information Science and Engineering, Ritsumeikan University, Shiga, Japan
Venue:
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Year:
2006

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Abstract

Detection and tracking of moving objects is very important in various ways. Concerning the detection of moving objects by stationary cameras, the background looks different as the illumination changes. In this paper, we consider a particular image in an image sequence as the sum of a reference image containing the background and a difference image containing the moving objects but not the background. We show that a reference image and difference images can be obtained as the independent components of input images by Independent Component Analysis. Moving objects can then be located on the reference image and the difference images. Experimental results show that the proposed approach produces accurate detection of moving objects even if illumination changes.