发表状态 | 已发表Published |
题名 | Transform based spatio-temporal descriptors for human action recognition |
作者 | |
发表日期 | 2011-02-15 |
发表期刊 | Neurocomputing
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ISSN/eISSN | 0925-2312 |
卷号 | 74期号:6页码:962-973 |
摘要 | Classic transformation methods have been widely and efficiently used in image processing areas, such as image de-noising, image segmentation, feature detection, and compression. Based on their compact signal and image representation ability, we apply the transform based techniques on the video recognition area to extract discriminative information from each given video sequence, and use the transformed coefficients as descriptors for representing and recognizing human actions in video sequences. We validate our proposed methods on the KTH and the Hollywood datasets, which have been extensively studied by a lot of researchers. The proposed descriptors, especially the wavelet transform based descriptor, yield promising results on action recognition. © 2010 Elsevier B.V. |
关键词 | Feature extraction Feature representation Human action recognition Spatio-temporal features Transforms |
DOI | 10.1016/j.neucom.2010.11.013 |
URL | 查看来源 |
收录类别 | SCIE |
语种 | 英语English |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence |
WOS记录号 | WOS:000288412600011 |
Scopus入藏号 | 2-s2.0-79751493631 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/6612 |
专题 | 理工科技学院 |
通讯作者 | Shao, Ling |
作者单位 | 1.Department of Electronic and Electrical Engineering,The University of Sheffield,United Kingdom 2.Department of Computer Science,Leiden University,Netherlands 3.Department of Computing,Hong Kong Polytechnic University,HKG,Hong Kong 4.Department of Computer Science and Technology,United International College,Zhuhai,China 5.Shenzhen Key Laboratory of Intelligent Media and Speech,PKU-HKUST Shenzhen Hong Kong Institution,Shenzhen,China |
推荐引用方式 GB/T 7714 | Shao, Ling,Gao, Ruoyun,Liu, Yanet al. Transform based spatio-temporal descriptors for human action recognition[J]. Neurocomputing, 2011, 74(6): 962-973. |
APA | Shao, Ling, Gao, Ruoyun, Liu, Yan, & Zhang, Hui. (2011). Transform based spatio-temporal descriptors for human action recognition. Neurocomputing, 74(6), 962-973. |
MLA | Shao, Ling,et al."Transform based spatio-temporal descriptors for human action recognition". Neurocomputing 74.6(2011): 962-973. |
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