Paper
4 August 2009 Motion detection using phase-based filtering in infrared imagery
Wen-shuai Yu, Xu-chu Yu, Yi-ming Zhang, Jing-zheng Liu
Author Affiliations +
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wen-shuai Yu, Xu-chu Yu, Yi-ming Zhang, and Jing-zheng Liu "Motion detection using phase-based filtering in infrared imagery", Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 738321 (4 August 2009); https://doi.org/10.1117/12.835655
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KEYWORDS
Infrared imaging

Infrared radiation

Image filtering

Motion detection

Optical filters

Infrared detectors

Optical flow

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