Improved tracking of multiple vehicles using invariant feature-based matching

Authors:
Jae-Young Choi;Jin-Woo Choi;Young-Kyu Yang
Affiliations:
College of Software, Kyungwon University, Seongnam, Gyeonggi, Republic of Korea;College of Software, Kyungwon University, Seongnam, Gyeonggi, Republic of Korea;College of Software, Kyungwon University, Seongnam, Gyeonggi, Republic of Korea
Venue:
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Year:
2007

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Abstract

In case of monitoring road traffic, the image based monitoring system is more useful than any other system such as GPS or loop detector because it can give the whole picture of the two-dimensional traffic situation. The idea of this paper is that the quad-tree scheme segments MBR following from the background subtraction process. Then the segmented and detected vehicle regions, ROIs, are tracked by SIFT algorithm. Our method succeeded detecting and tracking multiple moving vehicles accurately in sequence frame. The proposed method is very useful for the video based applications such as automatic traffic monitoring system.