Gait Recognition Based on HMM
基于连续隐马尔可夫模型的步态识别

Gait recognition refers to automatic identification of an individual based on his/her style of walking, which is a new biometrics recognition technology. This paper attempts to describe gait contour by using the distance between the contour centroid and the pixels on the edge, to make quasi-periodic analysis on height and width ratio of gait image, and to solve the problems resulting from image sequence of different gait cycle by HMM. By utilizing the algorithm in the paper, the experiments with CMU database have achieved comparatively high correction identification ratio.