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9 August 2018 Human segmentation of the thermal infrared sequences with moving background
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Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 108062T (2018) https://doi.org/10.1117/12.2503004
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China
Abstract
As a fundamental step for successful human detection via thermal infrared imagery, image segmentation is always difficult. In this paper, we propose an approach for segmentation of infrared human sequences captured by the camera mounted on a moving platform. The approach starts to detect moving regions that may contain humans in a frame via motion compensation and frame differencing. Next, it detects static regions that may also contain humans in the same frame via intensity thresholding. Finally, fusing the outputs from previous stages by morphological operations, it reaches algorithmic result. Experimental results indicate that the proposed approach outperforms its rivals in segmentation accuracy.
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Yong Tan "Human segmentation of the thermal infrared sequences with moving background", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108062T (9 August 2018); https://doi.org/10.1117/12.2503004
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