Title
Footprint tracking and recognition using a pressure sensing floor
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.
Year
DOI
Venue
2009
10.1109/ICIP.2009.5414148
ICIP
Keywords
DocType
ISSN
pressure sensing floor,pattern clustering,pressure data,footprint tracking,single subject,geometrical relationship,image recognition,tracking,active footprint area,proposed method cluster,footprint recognition,foot clusters,foot cluster,feature extraction,clustering algorithms,indexing terms,sensors,foot,shape
Conference
1522-4880 E-ISBN : 978-1-4244-5655-0
ISBN
Citations 
PageRank 
978-1-4244-5655-0
2
0.66
References 
Authors
7
3
Name
Order
Citations
PageRank
Jiqing Zhang1162.01
Gang Qian278463.77
Assegid Kidane3617.43