Joint angles similarities and HOG2 for action recognition

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn , Issue , 2013, Pages 465-470

  Ohn Bar, Eshed ^a   Trivedi, Mohan M ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION RECOGNITION; COLOR AND DEPTH IMAGES; DIFFERENT DOMAINS; HISTOGRAM OF ORIENTED GRADIENTS (HOG); MULTI-CLASS CLASSIFICATION; REAL-TIME APPLICATION; SPATIO-TEMPORAL FEATURES; VIEW INVARIANTS;

FEATURE EXTRACTION;

ALGORITHMS;

EID: 84884965847     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2013.76     Document Type: Conference Paper

References (22)

1. J. Aggarwal and M. Ryoo. Human activity analysis: A review. ACM Comput. Surv., 2011.
2. S. Y. Cheng and M. M. Trivedi. Vision-based infotainment user determination by hand recognition for driver assistance. IEEE Trans. Intell. Transp. Syst., 11(3):759-764, Sep. 2010.
3. E. Chris, M. Syed, T. Marshall, L. Joseph, and S. Rahul. Exploring the trade-off between accuracy and observational latency in action recognition. IJCV, 2012.
4. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, 2005.
5. L. Han, X. Wu, W. Liang, G. Hou, and Y. Jia. Discriminative human action recognition in the learned hierarchical manifold space. Image and Vision Computing, 2010.
6. M. B. Holte, C. Tran, M. M. Trivedi, and T. B. Moeslund. Human pose estimation and activity recognition from multiview videos: Comparative explorations of recent developments. IEEE J. Sel. Topics Signal Process., 2012.
7. M. Kaaniche and F. Bremond. Tracking HoG descriptors for gesture recognition. In AVSS, 2009.
8. A. Klaser, M. Marszalek, and C. Schmid. A spatio-temporal descriptor based on 3D-gradients. In BMVC, 2008.
9. I. Laptev, M. Marszalek, C. Schmid, and B. Rozenfeld. Learning realistic human actions from movies. In CVPR, 2008.
10. W. Li, Z. Zhang, and Z. Liu. Action recognition based on a bag of 3d points. In CVPRW, 2010.
11. F. Lv and R. Nevatia. Recognition and segmentation of 3-D human action using hmm and multi-class adaboost. In ECCV. 2006.
12. M. Muller and T. Roder. Motion templates for automatic classification and retrieval of motion capture data. In ACM SIGGRAPH, 2006.
13. J. Niebles, C.-W. Chen, and L. Fei-Fei. Modeling temporal structure of decomposable motion segments for activity classification. In ECCV. 2010.
14. E. Ohn-Bar, C. Tran, and M. Trivedi. Hand gesture-based visual user interface for infotainment. In AutomotiveUI, 2012.
15. E. Ohn-Bar and M. M. Trivedi. In-vehicle hand localization using integration of regions. IEEE Conf. Intell. Veh. Symp., 2013.
16. O. Oreifej and Z. Liu. HON4D: Histogram of oriented 4D normals for activity recognition from depth sequences. In CVPR, 2013.
17. C. Thurau and V. Hlavac. Pose primitive based human action recognition in videos or still images. In CVPR, 2008.
18. C. Tran and M. Trivedi. 3-D posture and gesture recognition for interactivity in smart spaces. IEEE Trans. Ind. Informat., 2012.
19. J. Wang, Z. Liu, J. Chorowski, Z. Chen, and Y. Wu. Robust 3d action recognition with random occupancy patterns. In ECCV, 2012.
20. J. Wang, Z. Liu, Y. Wu, and J. Yuan. Mining actionlet ensemble for action recognition with depth cameras. In CVPR, 2012.
21. Y. Xiaodong, C. Zhang, Y.Wu, and Y. Tian. Recognizing actions using depth motion maps-based histograms of oriented gradients. In ACM Multimedia, 2012.
22. K. Yun, J. Honorio, D. Chattopadhyay, T. Berg, and D. Samaras. Two-person interaction detection using bodypose features and multiple instance learning. In CVPRW, 2012.