Action recognition by spatio-temporal oriented energies
文献类型：期刊论文
| 作者 | Zhen, Xiantong1,2; Shao, Ling1,2; Li, Xuelong3
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| 刊名 | information sciences
 |
| 出版日期 | 2014-10-10 |
| 卷号 | 281页码:295-309 |
| 关键词 | Action recognition Steerable filters Spatio-temporal oriented energies Spatio-temporal Laplacian pyramid |
| ISSN号 | 0020-0255 |
| 英文摘要 | in this paper, we present a unified representation based on the spatio-temporal steerable pyramid (stsp) for the holistic representation of human actions. a video sequence is viewed as a spatio-temporal volume preserving all the appearance and motion information of an action in it. by decomposing the spatio-temporal volumes into band-passed sub-volumes, the spatio-temporal laplacian pyramid provides an effective technique for multi-scale analysis of video sequences, and spatio-temporal patterns with different scales could be well localized and captured. to efficiently explore the underlying local spatio-temporal orientation structures at multiple scales, a bank of three-dimensional separable steerable filters are conducted on each of the sub-volume from the laplacian pyramid. the outputs of the quad-rature pair of steerable filters are squared and summed to yield a more robust oriented energy representation. to be further invariant and compact, a spatio-temporal max pooling operation is performed between responses of the filtering at adjacent scales and over spatio-temporal neighbourhoods. in order to capture the appearance, local geometric structure and motion of an action, we apply the stsp on the intensity, 3d gradients and optical flow of video sequences, yielding a unified holistic representation of human actions. |
| WOS标题词 | science & technology ; technology |
| 类目[WOS] | computer science, information systems |
| 研究领域[WOS] | computer science |
| 关键词[WOS] | scene classification ; visual-attention ; representation ; motion ; models |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000340315600019 |
| 公开日期 | 2015-03-18 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/22386]  |
| 专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
| 作者单位 | 1.Nanjing Univ Informat Sci & Technol, Coll Elect & Informat Engn, Nanjing 210044, Jiangsu, Peoples R China 2.Univ Sheffield, Dept Elect & Elect Engn, Sheffield S1 3JD, S Yorkshire, England 3.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhen, Xiantong,Shao, Ling,Li, Xuelong. Action recognition by spatio-temporal oriented energies[J]. information sciences,2014,281:295-309. |
| APA | Zhen, Xiantong,Shao, Ling,&Li, Xuelong.(2014).Action recognition by spatio-temporal oriented energies.information sciences,281,295-309. |
| MLA | Zhen, Xiantong,et al."Action recognition by spatio-temporal oriented energies".information sciences 281(2014):295-309. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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