Complex Wavelet Transform-based Approach for Human Action Recognition in Video

被引:0
|
作者
Khare, Manish [1 ]
Gwak, Jeonghwan [2 ,3 ]
Jeon, Moongu [4 ]
机构
[1] DA IICT, Gandhinagar 382007, Gujarat, India
[2] Seoul Natl Univ Hosp, Biomed Res Inst, Seoul 03080, South Korea
[3] Seoul Natl Univ Hosp, Dept Radiol, Seoul 03080, South Korea
[4] Gwangju Inst Sci & Technol, Sch Elect Engn & Comp Sci, Gwangju 61005, South Korea
基金
新加坡国家研究基金会;
关键词
human action recognition; dual tree complex wavelet transform; video surveillance; SURVEILLANCE; MOTION;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Human action recognition is a challenging research in computer vision applications because variety of human actions can be misclassified as some other action types. In this paper, we proposed a method for human action recognition based on dual tree complex wavelet transform (DTCWT). DTCWT has better edge representation and approximate shift-invariant properties compared to real-valued wavelet transforms. Experiments are carried out on different standard action datasets including KTH and MSR. We have performed the proposed method on multiple levels of DTCWT. The proposed method is compared with other state-of-the-art methods in terms of different quantitative performance measures, and the results of the proposed method are found to have better recognition accuracy.
引用
收藏
页码:157 / 162
页数:6
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