Title :
Human Gait Analysis Using Self Organizing Map
Author :
Kim, Chan-Young ; Sin, Bong-Kee
Author_Institution :
Comput. Eng. Dept., Pukyong Nat. Univ., Pusan, South Korea
Abstract :
Recently human gait has been considered as a useful biometric supporting high performance human identification systems. Here we are more interested in understanding the gait including the direction rather than the human identity. We propose the use of SOM for interpreting human gait activity using the silhouettes of a pedestrian. The technique and the result may be able to find applications in view-independent direction and gait recognition as well as activity analysis.
Keywords :
gait analysis; image motion analysis; self-organising feature maps; traffic engineering computing; SOM; biometric; gait recognition; human gait analysis; human identification system; human motion analysis; pedestrian silhouette; self organizing map; view-independent direction; Feature extraction; Hidden Markov models; High performance computing; Humans; Motion analysis; Organizing; Performance analysis; Pixel; Shape; Silicon compounds;
Conference_Titel :
Pattern Recognition, 2009. CCPR 2009. Chinese Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4199-0
DOI :
10.1109/CCPR.2009.5343967
