信息与控制2013，Vol.42Issue(1)：27-32,6.DOI:10.3724/SP.J.1219.2013.00027
基于稀疏表示及分段帧差能量图的步态识别
Gait Recognition Based on Sparse Representation and Segmented Frame Difference Energy Image
摘要
Abstract
In order to deal with the problems that the gait recognition algorithms are complicated, cost a lot of time and can't be used in real-time condition in extracting the feature of the gait silhouette, a method based on sparse representation and segmented frame difference energy image is proposed. Firstly, the improved segmented frame difference energy image is established as a feature image of gait. Then a dictionary is established based on it and an improved orthogonal matching pursuit algorithm is used for the fast coefficient decomposition. Finally, hidden Markov model is applied to establishing the gait recognition model based on the improved partial frame difference energy image. Selecting 90° views, an experient is done on CASIA_B database. Experimental results show that this methods get better recognition rate and can be used in real-time system.关键词
稀疏表示/隐马尔可夫模型/正交匹配追踪算法/分段帧差能量图/步态识别Key words
sparse representation/ hidden Markov model (HMM)/ orthogonal matching pursuit/ segmented frame difference energy image/ gait recognition分类
信息技术与安全科学引用本文复制引用
杨旗,薛定宇..基于稀疏表示及分段帧差能量图的步态识别[J].信息与控制,2013,42(1):27-32,6.基金项目
国家自然科学基金资助项目(61005032). （61005032）
