Abstract
The results of image preprocessing may directly affect gait feature extraction in the area of gait recognition. Due to the influence of light, shelter and other external factors of gait image, some problems such as loss of information, image shadows, and improper threshold of image preprocessing may occur. In order to solve these problems, an image preprocessing method of gait recognition is proposed. Firstly, background image is extracted by background modeling, secondly, the target profile is extracted by the direct difference method; thirdly, the shadow elimination based on the HSV color model is carried out on the target profile map; Finally, the complete target profile is obtained by threshold segmentation. Experimental results on CASIA_A database demonstrate that this proposed method is quite effective on both target profile extraction and proportion comparison with the real area.
Supported by Program for Liaoning Excellent Talents in University.
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Shao, H., Wang, Y., Wang, Y., Hu, W. (2016). A Preprocessing Method for Gait Recognition. In: Che, W., et al. Social Computing. ICYCSEE 2016. Communications in Computer and Information Science, vol 623. Springer, Singapore. https://doi.org/10.1007/978-981-10-2053-7_8
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DOI: https://doi.org/10.1007/978-981-10-2053-7_8
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