Art

J-GLOBAL ID：201602213773582504   Reference number：16A1366701

Human Action Recognition from Depth Videos Using Pool of Multiple Projections with Greedy Selection

欲張り選択を用いる複数射影のプールを使用する深度ビデオからの人間の行動認識

Author (6)： LE Chien-Quang (Graduate University for Advanced Studies (SOKENDAI)) ,  PHAN Sang (National Institute of Informatics (NII)) ,  NGO Thanh Duc (University of Information Technology) ,  LE Duy-Dinh (National Institute of Informatics (NII)) ,  SATOH Shin'ichi (National Institute of Informatics (NII)) ,  DUONG Duc Anh (University of Information Technology)
Material： IEICE Transactions on Information and Systems (Web)  (IEICE Trans Inf Syst (Web))
Volume： E99.D  Issue： 8  Page： 2161-2171(J-STAGE)  Publication year： 2016 
JST Material Number： U0469A  ISSN： 1745-1361  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *computer algorithm ,  *projection (mathematics) ,  depth ,  *recognition ,  camera ,  mold and pattern ,  geodetic line ,  signal sampling ,  depth camera ,  *human action recognition
Semi thesaurus term： *greedy algorithm ,  depth ,  recognition of human actions ,  *human action recognition ,  classifier ,  motility pattern ,  sampling

Author keywords (4)： action recognition ,  depth sequences ,  multiple projections ,  greedy method

JST classification (1)： Graphic and image processing in general  (JE04010I)

Reference (27)：

• [1] J.K. Aggarwal and M.S. Ryoo, “Human activity analysis: A review,” ACM Computing Surveys (CSUR), vol.43, no.3, Article No.16, 2011.
• [2] D. Weinland, R. Ronfard, and E. Boyer, “A survey of vision-based methods for action representation, segmentation and recognition,” Computer Vision and Image Understanding, vol.115, no.2, pp.224-241, 2011.
• [3] W. Li, Z. Zhang, and Z. Liu, “Action recognition based on a bag of 3D points,” 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp.9-14, 2010.
• [4] X. Yang, C. Zhang, and Y. Tian, “Recognizing actions using depth motion maps-based histograms of oriented gradients,” Proc. 20th ACM International Conference on Multimedia, pp.1057-1060, 2012.
• [5] H. Wang, A. Kläser, C. Schmid, and C.L. Liu, “Action recognition by dense trajectories,” IEEE Conference on Computer Vision & Pattern Recognition, pp.3169-3176, Colorado Springs, United States, June 2011.

Terms in the title (4)： 射影 ,  深度 ,  ビデオ ,  人間の行動認識