CASIA OpenIR  > 模式识别国家重点实验室  > 生物识别与安全技术研究
3D SMoSIFT: Three-dimensional Sparse Motion Scale Invariant Feature Transform for Activity Recognition from RGB-D Videos
Wan J(万军); Wan J(万军)
Source PublicationJournal of Electronic Imaging
2014-03-01
Volume23Issue:2Pages:023017
Abstract
human activity recognition
KeywordBag Of Visual Words Model Spatiotemporal Feature Optical Flow
Indexed BySCI
WOS IDWOS:000338984000017
Citation statistics
Cited Times:20[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12411
Collection模式识别国家重点实验室_生物识别与安全技术研究
Corresponding AuthorWan J(万军)
AffiliationBeijing Jiaotong University
Recommended Citation
GB/T 7714
Wan J,Wan J. 3D SMoSIFT: Three-dimensional Sparse Motion Scale Invariant Feature Transform for Activity Recognition from RGB-D Videos[J]. Journal of Electronic Imaging,2014,23(2):023017.
APA Wan J,&万军.(2014).3D SMoSIFT: Three-dimensional Sparse Motion Scale Invariant Feature Transform for Activity Recognition from RGB-D Videos.Journal of Electronic Imaging,23(2),023017.
MLA Wan J,et al."3D SMoSIFT: Three-dimensional Sparse Motion Scale Invariant Feature Transform for Activity Recognition from RGB-D Videos".Journal of Electronic Imaging 23.2(2014):023017.
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