Far-infrared pedestrian sequence segmentation based on time domain semantics

Shaowu Peng; Zhenju Wang; Qiong Liu; Junying Chen

doi:10.1117/12.2539449

14 February 2020 Far-infrared pedestrian sequence segmentation based on time domain semantics

Shaowu Peng, Zhenju Wang, Qiong Liu, Junying Chen

Proceedings Volume 11428, MIPPR 2019: Multispectral Image Acquisition, Processing, and Analysis; 114280R (2020) https://doi.org/10.1117/12.2539449
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China

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.

Citation Download Citation

Shaowu Peng, Zhenju Wang, Qiong Liu, and Junying Chen "Far-infrared pedestrian sequence segmentation based on time domain semantics", Proc. SPIE 11428, MIPPR 2019: Multispectral Image Acquisition, Processing, and Analysis, 114280R (14 February 2020); https://doi.org/10.1117/12.2539449

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