Pedestrian Identification with Distance Transform and Hierarchical Search Tree

Authors:
Daw-Tung Lin;Li-Wei Liu
Affiliations:
Department of Computer Science and Information Engineering, National Taipei University, Taipei, Taiwan 237;Department of Computer Science and Information Engineering, National Taipei University, Taipei, Taiwan 237
Venue:
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Year:
2009

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Abstract

This work develops a novel and robust hierarchical search tree matching algorithm, in which the Distance Transform based pedestrian silhouette template database is constructed for efficient pedestrian identification. The proposed algorithm was implemented and its performance assessed. The proposed method achieved an accuracy of 89% true positive, 92% true negative and low false positive 8% rates when matching 1069 pedestrian objects and 568 non-pedestrian objects. The contributions of this work are twofold. First, a novel pedestrian silhouette database is presented based on the Chamfer Distance Transform. Second, the proposed hierarchical search tree matching strategy utilizing Fuzzy C-means clustering method can be adopted for mapping and locating pedestrian objects with robustness and efficiency.