Action recognition using restricted dense trajectories

摘要：

　　This paper presents an action recognition algorithm using restricted dense trajectories(RDT).In feature extraction step,restricted dense trajectories are obtained by tracking the refined points in optical flow field,which remove most of meaningless trajectories while preserve the discriminative power.Then we extract a new set of descriptors to capture the appearance and motion information of trajectories.For encoding step,we improve VLAD by assigning each descriptor to their K nearest words and employing these words as basis vectors to linearly approximate the descriptor under the minimum squared error criterion.Experimental results show the proposed algorithm obtains state-of-the-art results.

作者: Qinghui Li Aihua Li Zhigao Cui

作者单位: 502 Faculty,Xian Institute of High Technology,Xian,China

会议类型: 国际会议

会议名称: 2017 International Symposium on Application of Materials Science and Energy Materials (SAMSE 2017) (2017材料科学应用与能源材料国际研讨会)

会议地点: 上海

会议语种:英文

页码: 1-5

在线出版日期: 2017-12-28（万方平台首次上网日期，不代表论文的发表时间）