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Proceedings Paper

Motion detection using phase-based filtering in infrared imagery
Author(s): Wen-shuai Yu; Xu-chu Yu; Yi-ming Zhang; Jing-zheng Liu
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Paper Abstract

Detecting moving object is vital for dynamic imagery applications, for instance target tracking and target recognition. In thermal infrared image, the difficulties of the motion detection come from appearance changes of the objects, moving background or other causes. In this paper, we present a phase-based filtering method for motion detection in infrared images. Phase-based filtering is a frequency domain related optical flow algorithm. For measuring the flow velocity in infrared image sequence, phase information has advantages because of its stability to geometric deformation and linearity with spatial position. The phase information is filtered out with the Gabor filters. Based on the output phase responses from the filters, component velocities are figured out with the spatial-temporal phase gradients. Combining the component velocities, the full velocities form the optical flow field, which reflects the motions in the images. We demonstrated the effectiveness of the approach with the experiments, and got good results.

Paper Details

Date Published: 5 August 2009
PDF: 9 pages
Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 738321 (5 August 2009); doi: 10.1117/12.835655
Show Author Affiliations
Wen-shuai Yu, Institute of Surveying and Mapping (China)
Xu-chu Yu, Institute of Surveying and Mapping (China)
Yi-ming Zhang, Beijing Remote Sensing Institute (China)
Jing-zheng Liu, Institute of Surveying and Mapping (China)


Published in SPIE Proceedings Vol. 7383:
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications
Jeffery Puschell; Hai-mei Gong; Yi Cai; Jin Lu; Jin-dong Fei, Editor(s)

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