Title: Fuzzy judgment of edge features under dynamic constraints in pedestrian tracking

Authors: Yaomin Hu

Addresses: School of Information Engineering, Guangzhou Panyu Polytechnic, Guangzhou, 511483, China

Abstract: In order to improve the pedestrian tracking and recognition ability, it is required to conduct fuzzy judgment to edge features. Therefore, a fuzzy judgment method of edge features under dynamic constraints in pedestrian tracking based on local motion planning and edge contour segmentation was proposed. In this method, a geometry mesh area model for pedestrian tracking and recognition was constructed, and the fuzzy dynamic feature segmentation method was adopted to reconstruct dynamic edge feature points in pedestrian tracking to extract the greyscale pixel set under dynamic constraints in pedestrian tracking. The simulation results show that in pedestrian tracking and recognition, this method has strong fuzzy judgment ability of edge features and can provide results with error below 10 mm and relatively stable fluctuation, so this method can provide relatively high recognition accuracy and good robustness.

Keywords: pedestrian tracking; dynamic constraint; edge feature; recognition; image fusion.

DOI: 10.1504/IJICT.2020.105101

International Journal of Information and Communication Technology, 2020 Vol.16 No.1, pp.30 - 42

Received: 02 Nov 2018
Accepted: 28 Nov 2018
Published online: 13 Feb 2020 *

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