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Proceedings Paper

Human segmentation of the thermal infrared sequences with moving background
Author(s): Yong Tan
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Paper 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.

Paper Details

Date Published: 9 August 2018
PDF: 6 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108062T (9 August 2018); doi: 10.1117/12.2503004
Show Author Affiliations
Yong Tan, Yangtze Normal Univ. (China)


Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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