An E-centrist descriptor based on contour enhancement for pedestrian recognition in video surveillance

This letter mainly aims at an E-Centrist descriptor for the pedestrian recognition in image sequences with background moving slowly. Utilizing the motion information detected from the image sequences, pedestrian recognition algorithm is implemented by combining region of interest（ROI）which probably includes potential pedestrians and an enhanced descriptor from contour. Experimental results demonstrate that the presented method improves the speed as well as the accuracy of pedestrian recognition in test sequences.

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