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Abnormal activity recognition in office based on T-transform", International Conference on Image Processing
Ying Wang; Kaiqi Huang; 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341-344
会议日期2007-09-01
会议地点 San Antonio, Texas, USA
摘要This paper introduces an abnormal activity recognition method based on a new feature descriptor for human silhouette. For a binary human silhouette, an extended radon transform, R transform, is employed to represent low-level features. The information that the initial silhouette carries is transformed in a compact way preserving important spatial information of the activities. Then a set of HMMs based on the features extracted by our method are trained to recognize abnormal activities. Experiments have proved the accuracy and efficiency of the proposed method, and the comparison with Fourier descriptor illustrates its robustness to disjoint shapes and shapes with holes.
关键词Edge Detection   feature Extraction   hidden Markov Models
语种英语
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12718
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
Ying Wang,Kaiqi Huang,Tieniu Tan. Abnormal activity recognition in office based on T-transform", International Conference on Image Processing[C],2007:341-344.
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