International Machine Vision and Image Processing Conference (2011)
Sept. 7, 2011 to Sept. 9, 2011
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IMVIP.2011.27
Many silhouettes based features are proposed for gait recognition. But these methods suffer with covariate factors such as clothing and carrying objects. These covariate factors mostly attached with silhouettes and make gait recognition much difficult. Therefore we proposed a new silhouette based feature to analyse the influence of body parts and increase the recognition rate for individual identification.
Pratheepan Yogarajah, Joan V. Condell, Girijesh Prasad, "Analysis of Most Important Parts for Silhouette-Based Gait Recognition", International Machine Vision and Image Processing Conference, vol. 00, no. , pp. 103-104, 2011, doi:10.1109/IMVIP.2011.27