A Space-Time SURF Descriptor and its Application to Action Recognition with Video Words

摘要：

A novel method to human action recognition is presented with the combining of a new space-time Speeded Up Robust Features (SURF) descriptor and the bag of video words (BOVW) approach. In our method, we have extended the SURF so that it can better represent the inherent spatio-temporal information of the video data for action recognition. To utilize this descriptor in the action recognition framework, the BOVW schema with a soft-weighting strategy is exploited. Experiments, conducted with the KTHs action recognition dataset, have shown that the proposed method can achieve an outstanding performance in both computing speed and accuracy contrast to the traditional methods.

关键词： Action recognition space-time SURF bag of video words

作者: Xinghao Jiang Tanfeng Sun Bing Feng Chengming Jiang Xinghao Jiang Tanfeng Sun

作者单位: School of Information Security Engineering Shanghai Jiao Tong University Shanghai, China Shanghai Information Security Management and Technology Research Key Lab, Shanghai, China

会议类型: 国际会议

会议名称: 2011 Eighth International Conference on Fuzzy System and Knowledge Discovery(第八届模糊系统与知识发现国际会议 FSKD 2011)

会议地点: 上海

会议语种:英文

页码: 1962-1966

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）