Recognizing actions using depth motion maps-based histograms of oriented gradients

MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia

Volumn , Issue , 2012, Pages 1057-1060

  Yang, Xiaodong ^a   Zhang, Chenyang ^a   Tian, Yingli ^a  

^a CITY UNIVERSITY OF NEW YORK   (United States)

Author keywords

3d action recognition; depth maps; feature representation; rgbd camera

Indexed keywords

ACTION RECOGNITION; BODY SHAPES; DATA SETS; DEPTH MAP; FEATURE REPRESENTATION; HISTOGRAMS OF ORIENTED GRADIENTS; HUMAN ACTIONS; MICROSOFT RESEARCHES; MOTION INFORMATION; ORTHOGONAL PLANE; STATE-OF-THE-ART METHODS; VIDEO SEQUENCES;

GRAPHIC METHODS; IMAGE RECOGNITION; MOTION ESTIMATION; VIDEO RECORDING;

GESTURE RECOGNITION;

EID: 84871394796     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2393347.2396382     Document Type: Conference Paper

References (15)

1. Bobick, A. and Davis, J. 2001. The Recognition of Human Movement Using Temporal Templates. IEEE Trans. on Pattern Analysis and Machine Intelligence.
2. Dalal, N. and Triggs, B. 2005. Histograms of Oriented Gradients for Human Detection. CVPR.
3. Dollar, P., Rabaud, V., Cottrell, G., and Belongie, S. 2005. Behavior Recognition via Sparse Spatio-Temporal Features. VS-PETS.
4. Gunes, H. and Piccardi, M. 2009. Automatic Temporal Segment Detection and Affect Recognition from Face and Body Display. IEEE Trans. on Systems, Man, and Cybernetics - Part B: Cybernetics.
5. Laptev, I. 2005. On Space-Time Interest Points. International Journal of Computer Vision.
6. Laptev, I. Marszalek, M., Schmid, C., and Rozefeld, B. 2008. Learning Realistic Human Actions from Movies. CVPR.
7. Li, W., Zhang, Z., and Liu, Z. 2010. Action Recognition based on A Bag of 3D Points. IEEE Workshop on CVPR for Human Communicative Behavior Analysis.
8. Masood, S., Ellis, C., Tappen, M., Laviola, J., and R. Sukthankar. 2011. IEEE Workshop on ICCV for Human Computer Interaction: Real Time Vision Aspects of Natural User Interfaces.
9. Shotton, J., Fitzgibbon, A., Cook, M., Sharp, T., Finocchio, M., Moore, R., Kipman, A., and Blake, A. 2011. Real-Time Pose Recognition in Parts from Single Depth Images. CVPR.
10. Sun, J., Wu, X., Yan, S., Cheong, L., Chua, T., and Li, J. 2009. Hierarchical Spatio-Temporal Context Modeling for Action Recognition. CVPR.
11. Tian, Y., Cao, L., Liu, Z., and Zhang, Z. 2011. Hierarchical Filtered Motion for Action Recognition in Crowded Videos. IEEE Trans. on Systems, Man, and Cybernetics - Part C: Applications and Reviews.
12. Wang, J., Liu, Z., Wu, Y., and Yuan, J. 2012. Mining Actionlet Ensemble for Action Recognition with Depth Cameras. CVPR.
13. Wang, J., Liu, Z., and Wu, Y. 2012. Robust 3D Action Recognition with Random Occupancy Patterns. ECCV.
14. Yang, X. and Tian, Y. 2012. EigenJoints-based Action Recognition Using Naïve-Bayes-Nearest-Neighbor. IEEE Workshop on CVPR for Human Activity Understanding from 3D Data.
15. Zhu, G., Yang, M., Yu, K., Xu, W., and Gong, Y. 2009. Detecting Video Events Based on Action Recognition in Complex Scenes Using Spatio-Temporal Descriptor. ACM Multimedia.