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Proceedings Paper

Motion detection using multiscale optical flow in infrared imagery
Author(s): Wen-shuai Yu; Xu-chu Yu; Bing Chen; Yue Chang
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Paper Abstract

Motion detection is one of the basic operations in dynamic image analysis. In thermal image sequence processing, motion detection is a difficult problem. In this paper, we employ multi-scale optical flow methods to solve the problem. After analyzing the difficulties in detecting motions, multi-resolution framework is recognized as an useful approach for the process. Phase information has been demonstrated its robustness and stability in disparity and flow estimation. Velocity-tuned filtering integrates the multi-scale framework with the phase information. Using a bank of Gabor filters, image velocities, which form the flow field, are estimated with the output phase responses. Comparing with Lucas-Kanade pyramid method, our experiment shows that the approach could compute the optical flow more accurately, and it is effective for motion detection in infrared images.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74951W (30 October 2009); doi: 10.1117/12.832958
Show Author Affiliations
Wen-shuai Yu, Zhengzhou Institute of Surveying and Mapping (China)
Xu-chu Yu, Zhengzhou Institute of Surveying and Mapping (China)
Bing Chen, Institute of Information Science and Technology (China)
Yue Chang, Institute of Command and Technology of Equipment (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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