Title :
Footprint tracking and recognition using a pressure sensing floor
Author :
Zhang, Jiqing ; Qian, Gang ; Kidané, Assegid
Author_Institution :
Sch. of Arts, Media & Eng., Arizona State Univ., Tempe, AZ, USA
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.
Keywords :
image recognition; pattern clustering; tracking; foot clusters; footprint recognition; footprint tracking; pressure data; pressure sensing floor; Art; Biometrics; Clustering algorithms; Convergence; Floors; Foot; Kernel; Power engineering and energy; Sensor arrays; Shape; Pressure sensing floor; footprint tracking;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5414148