Abstract | ||
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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 |
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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 Zhang | 1 | 16 | 2.01 |
Gang Qian | 2 | 784 | 63.77 |
Assegid Kidane | 3 | 61 | 7.43 |