Dense Trajectories and Motion Boundary Descriptors for Action Recognition
Wang, Heng1; Klaeser, Alexander2; Schmid, Cordelia2; Liu, Cheng-Lin1
发表期刊INTERNATIONAL JOURNAL OF COMPUTER VISION
2013-05-01
卷号103期号:1页码:60-79
文章类型Article
摘要This paper introduces a video representation based on dense trajectories and motion boundary descriptors. Trajectories capture the local motion information of the video. A dense representation guarantees a good coverage of foreground motion as well as of the surrounding context. A state-of-the-art optical flow algorithm enables a robust and efficient extraction of dense trajectories. As descriptors we extract features aligned with the trajectories to characterize shape (point coordinates), appearance (histograms of oriented gradients) and motion (histograms of optical flow). Additionally, we introduce a descriptor based on motion boundary histograms (MBH) which rely on differential optical flow. The MBH descriptor shows to consistently outperform other state-of-the-art descriptors, in particular on real-world videos that contain a significant amount of camera motion. We evaluate our video representation in the context of action classification on nine datasets, namely KTH, YouTube, Hollywood2, UCF sports, IXMAS, UIUC, Olympic Sports, UCF50 and HMDB51. On all datasets our approach outperforms current state-of-the-art results.
关键词Action Recognition Dense Trajectories Motion Boundary Histograms
WOS标题词Science & Technology ; Technology
关键词[WOS]OBJECT TRAJECTORIES ; FEATURES ; VIDEO ; CLASSIFICATION ; TEXTURE ; SCALE
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000318413500003
引用统计
被引频次:567[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/3075
专题模式识别国家重点实验室_模式分析与学习
作者单位1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
2.INRIA Grenoble Rhone Alpes, LEAR Team, F-38330 Montbonnot St Martin, France
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Wang, Heng,Klaeser, Alexander,Schmid, Cordelia,et al. Dense Trajectories and Motion Boundary Descriptors for Action Recognition[J]. INTERNATIONAL JOURNAL OF COMPUTER VISION,2013,103(1):60-79.
APA Wang, Heng,Klaeser, Alexander,Schmid, Cordelia,&Liu, Cheng-Lin.(2013).Dense Trajectories and Motion Boundary Descriptors for Action Recognition.INTERNATIONAL JOURNAL OF COMPUTER VISION,103(1),60-79.
MLA Wang, Heng,et al."Dense Trajectories and Motion Boundary Descriptors for Action Recognition".INTERNATIONAL JOURNAL OF COMPUTER VISION 103.1(2013):60-79.
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