Moving objects detection from time-varied background: an application of camera 3D motion analysis

Authors:
Zhencheng Hu;Keiichi Uchimura
Affiliations:
Department of Computer Science, Faculty of Engineering, Kumamoto University, Kumamoto, Japan;Department of Computer Science, Faculty of Engineering, Kumamoto University, Kumamoto, Japan
Venue:
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
Year:
1999

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Abstract

Motion detection from a moving observer has been a very important technique for 3D dynamical image analysis. Because of the continuous background changing, detecting the real moving objects has become very difficult and always employs optical flow method to measure the flow vectors difference between background and the moving objects. Unfortunately, it has to pay a huge calculation cost to obtain the accurate optical flow vectors. A new motion detecting method based on camera 3D-motion analysis is proposed in this paper. With the special motion feature of on-board camera and FOE, our method can detect the real moving objects by simply using the matching between two adjacent frames. The camera 3D-motion can theoretically be determined in our method with only three matching pairs, which make it fast and more efficient for real-time applications.