Title :
Human gait recognition based on skeletons
Author :
Xiao, Fu ; Hua, Peng ; Jin, Liu ; Bin, Zhang
Author_Institution :
Dept. of Fundamental Courses, Air Force Aviation Univ., Changchun, China
Abstract :
Skeletons providing a structural representation of shapes. In this study, we present a skeletons-based approach for gait recognition. The coarse structure of this skeleton representation allows us to represent each gait. We first extract the gait features from image sequences. Then gait recognition is performed. As it is entirely based on human gait, our approach is robust to different type of clothes the subjects wear. We achieved recognition rate of 96.21% with CMU MoBo data set.
Keywords :
feature extraction; image recognition; image representation; image sequences; gait feature extraction; human gait recognition; image sequences; skeletons-based approach; structural shape representation; Cameras; Classification tree analysis; Hidden Markov models; Gait recognition; Human motion analysis; Skeletons;
Conference_Titel :
Educational and Information Technology (ICEIT), 2010 International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-8033-3
Electronic_ISBN :
978-1-4244-8035-7
DOI :
10.1109/ICEIT.2010.5607519
