A new simple human abnormal action detection based on static images

Yang Liu, Qing Wang

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

Human abnormal action is an active issue in the computer vision domain. Most of the current approaches rely on spatio-temporal feature. A great deal of work has been done to show the feature with good performance, but expensive computation. There are some applications with low requirements for human abnormal action detection. We propose a new simple but low computational human abnormal action detection method for that applications. First, static images are extracted with equal interval along time. Then, images are divided into patches and use distance transformation to get feature vectors. Normal action patches are classed and represented by cluster centers. Experiments are conducted on the well known KTH dataset and a video dataset we recorded to show the efficacy of the proposed method.

源语言英语
主期刊名Proceedings - 2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011
578-581
页数4
DOI
出版状态已出版 - 2011
活动2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011 - Shanghai, 中国
期限: 10 6月 201112 6月 2011

出版系列

姓名Proceedings - 2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011
1

会议

会议2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011
国家/地区中国
Shanghai
时期10/06/1112/06/11

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