A Pedestrian Recognition and Locating Method under the Condition of Surveillance

Abstract:

In our previous work, we proposed a motion edge detection method to extract the contour of the pedestrian in an image sequence. In order to locate and recognize the pedestrian in an image after its contour was extracted, we propose the BLBP method to describe the binary texture of the contour of the pedestrian in the image, and use the BLBP histogram to get the recognition feature of the pedestrian. And then we use the scatter matrix and the sequential forward selection method to select useful features, and use the SOM neural network to perform the recognition work. At the last part of this paper, some results of our experiments are illustrated there, which shows that our method is satisfactory.

• Periodical: Applied Mechanics and Materials (Volumes 602-605)
• Pages: 1666-1669
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.602-605.1666
• Online since: August 2014
• Authors: Xiao Qing Wu*, Xiang Long, Xiong Yang
• Keywords: Binary Texture, BLBP, Pedestrian Recognition, Scatter Matrix, SOM Neural Network

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