Action recognition using ensemble weighted multi-instance learning

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2014, Pages 4520-4525

  Chen, Guang ^a   Giuliani, Manuel ^a   Clarke, Daniel ^a   Gaschler, Andre ^a   Knoll, Alois ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ROBOTICS;

ACTION RECOGNITION; ENSEMBLE LEARNING; INTRA-CLASS VARIATION; MICROSOFT RESEARCHES; MULTI-INSTANCE LEARNING; MULTI-INSTANCE PROBLEMS; SPATIO TEMPORAL FEATURES; STATE-OF-THE-ART METHODS;

IMAGE RECOGNITION;

EID: 84929190726     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRA.2014.6907519     Document Type: Conference Paper

References (22)

1. Zhongwei Cheng, Lei Qin, Yituo Ye, Qingming Huang, and Qi Tian. Human daily action analysis with multi-view and color-depth data. In Proceedings of the 12th international conference on Computer Vision-Volume 2, ECCV12, pages 52-61, 2012
2. Navneet Dalal and Bill Triggs. Histograms of oriented gradients for human detection. In In CVPR, pages 886-893, 2005
3. Yoav Freund and Robert E. Schapire. A decision-Theoretic generalization of on-line learning and an application to boosting. J. Comput. Syst. Sci., 55(1):119-139, August 1997
4. Lei Han, Xinxiao Wu, Wei Liang, Guangming Hou, and Yunde Jia. Discriminative human action recognition in the learned hierarchical manifold space. Image Vision Comput., 28(5):836-849, May 2010
5. Geoffrey E. Hinton, Simon Osindero, and Yee Whye Teh. A fast learning algorithm for deep belief nets. Neural Computation, 18(7):1527-1554, 2006
6. Aapo Hyvrinen, Jarmo Hurri, and Patrick O. Hoyer. Natural Image Statistics: A Probabilistic Approach to Early Computational Vision. Springer Publishing Company, Incorporated, 1st edition, 2009
7. Ivan Laptev. On space-time interest points. Int. J. Comput. Vision, 64(2-3):107-123, September 2005
8. S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In Computer Vision and Pattern Recognition (CVPR), 2006 IEEE Conference on, volume 2, pages 2169-2178, 2006
9. Q.V. Le, W.Y. Zou, S.Y. Yeung, and A.Y. Ng. Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis. In Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, pages 3361-3368, 2011
10. Wanqing Li, Zhengyou Zhang, and Zicheng Liu. Action recognition based on a bag of 3d points. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010
11. Xu-Ying Liu, Jianxin Wu, and Zhi-Hua Zhou. Exploratory undersampling for class-imbalance learning. Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, 39(2):539-550, 2009
12. Fengjun Lv and Ramakant Nevatia. Recognition and segmentation of 3-d human action using hmm and multi-class adaboost. In Ale Leonardis, Horst Bischof, and Axel Pinz, editors, Computer Vision ECCV 2006, volume 3954 of Lecture Notes in Computer Science, pages 359-372. 2006
13. Meinard Muller and Tido Roder. Motion templates for automatic classification and retrieval of motion capture data. In Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation, SCA 06, pages 137-146, 2006
14. Omar Oreifej and Zicheng Liu. Hon4d: Histogram of oriented 4d normals for activity recognition from depth sequences. In Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, 2013
15. J.C.A. Read, G.P. Phillipson, I. Serrano-Pedraza, A.D. Milner, and A.J. Parker. Stereoscopic vision in the absence of the lateral occipital cortex. PLoS One, 5(9):e12608, 2010
16. J. Shotton, A. Fitzgibbon, M. Cook, T. Sharp, M. Finocchio, R. Moore, A. Kipman, and A. Blake. Real-time human pose recognition in parts from single depth images. In Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, pages 1297-1304, 2011
17. S. V. N. Vishwanathan, Z. Sun, N. Theera-Ampornpunt, and M. Varma. Multiple kernel learning and the SMO algorithm. In Advances in Neural Information Processing Systems, December 2010
18. Jiang Wang, Zicheng Liu, Jan Chorowski, Zhuoyuan Chen, and Ying Wu. Robust 3d action recognition with random occupancy patterns. In Proceedings of the 12th European conference on Computer Vision-Volume Part II, pages 872-885, 2012
19. Jiang Wang, Zicheng Liu, Ying Wu, and Junsong Yuan. Mining actionlet ensemble for action recognition with depth cameras. In Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, pages 1290-1297, 2012
20. L. Xia and J.K. Aggarwal. Spatio-temporal depth cuboid similarity feature for activity recognition using depth camera. In Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, 2013
21. Yang Zhao, Zicheng Liu, Lu Yang, and Hong Cheng. Combing rgb and depth map features for human activity recognition. In Signal Information Processing Association Annual Summit and Conference (APSIPA ASC), pages 1-4, 2012
22. Zhi-Hua Zhou. Ensemble learning. In Stan Z. Li and Anil K. Jain, editors, Encyclopedia of Biometrics, pages 270-273. 2009