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Orthogonal Diagonal Projections for Gait Recognition
Daoliang Tan; Kaiqi Huang; Shiqi Yu; Tieniu Tan
2007
会议名称IEEE International Conference on Image Processing, 2007
会议录名称IEEE International Conference on Image Processing, 2007
页码337-340
会议日期2007-09-01
会议地点 San Antonio, Texas, USA
摘要Gait has received much attention from researchers in the vision field due to its utility in walker identification. One of the key issues in gait recognition is how to extract discriminative shape features from 2D human silhouette images. This paper deals with the problem of gait-based walker recognition using statistical shape features. First, we normalize walkers' silhouettes (to facilitate gait feature comparison) into a square form and use the orthogonal projections in the positive and negative diagonal directions to draw personal signatures contained in gait patterns. Then principal component analysis (PCA) and linear discriminant analysis (LDA) are applied to reduce the dimensionality of original gait features and to improve the topological structure in the feature space. Finally, this paper accomplishes the recognition of unknown gait features based on the nearest neighbor rule, with the discussion of the effect of distance metrics and scales on discriminating performance. Experimental results justify the potential of our method.
关键词Computer Vision   feature Extraction   gait Analysis
语种英语
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12719
专题智能感知与计算研究中心
通讯作者Kaiqi Huang
作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
Daoliang Tan,Kaiqi Huang,Shiqi Yu,et al. Orthogonal Diagonal Projections for Gait Recognition[C],2007:337-340.
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