Footprint tracking and recognition using a pressure sensing floor

Authors:
Jiqing Zhang;Gang Qian;Assegid Kidanè
Affiliations:
School of Arts, Media and Engineering and School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ;School of Arts, Media and Engineering and School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ;School of Arts, Media and Engineering, Arizona State University, Tempe, AZ
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

This paper presents an approach to clustering, tracking and recognizing footprints of a single subject from pressure data obtained using a pressure sensing floor. The proposed method clusters active footprint areas on the floor and recognizes and tracks the footprints according to their 2D shapes and geometrical relationships among foot clusters. Experimental results show the efficacy of the proposed approach.