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Improved Gait Recognition using Gradient Histogram Energy Image
2012 19th IEEE International Conference on Image Processing
We present a new spatio-temporal representation for Gait Recognition, which we call Gradient Histogram Energy Image (GHEI). Similar to the successful Gait Energy Image (GEI), information is averaged over full gait cycles to reduce noise. Contrary to GEI, where silhouettes are averaged and thus only edge information at the boundary is used, our GHEI computes gradient histograms at all locations of the original image. Thus, also edge information inside the person silhouette is captured. Indoi:10.1109/icip.2012.6467128 dblp:conf/icip/0011R12 fatcat:j4r63cmay5cvzdggzlbhzaktaa