Abnormal activity recognition in office based on T-transform", International Conference on Image Processing

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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	模式识别实验室
通讯作者	Kaiqi Huang
作者单位	中国科学院自动化研究所
第一作者单位	中国科学院自动化研究所
通讯作者单位	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.