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Proceedings Paper

Far-infrared pedestrian sequence segmentation based on time domain semantics
Author(s): Shaowu Peng; Zhenju Wang; Qiong Liu; Junying Chen
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Paper Abstract

This paper proposes the generation of a pedestrian ROI region, which is mainly aimed at pedestrian segmentation in far-infrared (FIR) images of in-vehicle systems. Since the FIR image is a grayscale image, the pixel value of the pedestrian is usually higher than the background, so the previous segmentation method is mainly threshold segmentation. However, this method will cause problems due to the uneven brightness of pedestrians caused by pedestrian wear, etc. We propose a new method for generating pedestrian ROI regions, which is based on the combination of image region merging and pixel-intensity vertical projection, and adopts the time domain semantic model to constrain the parameter space. Experiments show that our method has achieved good results in urban scenes.

Paper Details

Date Published: 14 February 2020
PDF: 8 pages
Proc. SPIE 11428, MIPPR 2019: Multispectral Image Acquisition, Processing, and Analysis, 114280R (14 February 2020); doi: 10.1117/12.2539449
Show Author Affiliations
Shaowu Peng, South China Univ. of Technology (China)
Zhenju Wang, South China Univ. of Technology (China)
Qiong Liu, South China Univ of Technology (China)
Junying Chen, South China Univ. of Technology (China)


Published in SPIE Proceedings Vol. 11428:
MIPPR 2019: Multispectral Image Acquisition, Processing, and Analysis
Xinyu Zhang; Chao Pan; Hongshi Sang, Editor(s)

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