Super normal vector for activity recognition using depth sequences

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2014, Pages 804-811

  Yang, Xiaodong ^a   Tian, Yingli ^a  

^a CITY UNIVERSITY OF NEW YORK   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION);

ACTIVITY RECOGNITION; BENCHMARK DATASETS; CLASSIFICATION RESULTS; HUMAN ACTIVITY RECOGNITION; SHAPE INFORMATION; SPACE-TIME GRIDS; SPATIO TEMPORAL; VIDEO SEQUENCES;

PATTERN RECOGNITION;

EID: 84911437630     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.108     Document Type: Conference Paper

References (27)

1. Y. Boureau, F. Bach, Y. LeCun, and J. Ponce. Learning Mid-Level Features for Recognition. In CVPR, 2010.
2. A. Coates and A. Ng. The Importance of Encoding versus Training with Sparse Coding and Vector Quantization. In ICML, 2011.
3. R. Fan, K. Chang, C. Hsieh, X. Wang, and C. Lin. LIB-LINEAR: A Library for Large Linear Classification. JMLR, 2008.
4. S. Hadfield and R. Bowden. Hollywood 3D: Recognizing Actions in 3D Natural Scenes. In CVPR, 2013.
5. H. Jegou, M. Douze, C. Schmid, and P. Perez. Aggregating Local Descriptors into A Compact Image Representation. In CVPR, 2010.
6. A. Kurakin, Z. Zhang, and Z. Liu. A Read-Time System for Dynamic Hand Gesture Recognition with A Depth Sensor. In EUSIPCO, 2012.
7. I. Laptev, M. Marszalek, C. Schmid, and B. Rozenfeld. Learning Realistic Human Actions from Movies. In CVPR, 2008.
8. H. Lee, R. Grosse, R. Ranganath, and A. Ng. Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representation. In ICML, 2009.
9. W. Li, Z. Zhang, and Z. Liu. Action Recognition based on A Bag of 3D Points. In CVPR Workshop, 2010.
10. L. Liu and L. Shao. Learning Discriminative Representations from RGB-D Video Data. In IJCAI, 2013.
11. J. Mairal, F. Bach, J. Ponce, and G. Sapiro. Online Dictionary Learning for Sparse Coding. In ICML, 2009.
12. O. Oreifej and Z. Liu. HON4D: Histogram of Oriented 4D Normals for Activity Recognition from Depth Sequences. In CVPR, 2013.
13. F. Perronnin, J. Sanchez, and T. Mensink. Improving the Fisher Kernel for Large Scale Image Classification. In ECCV, 2010.
14. L. Seidenari, V. Varano, S. Berretti, A. Bimbo, and P. Pala. Recognizing Actions from Depth Cameras as Weakly Aligned Multi-Part Bag-of-Poses. In CVPR Workshop, 2013.
15. J. Shotton, A. Fitzgibbon, M. Cook, T. Sharp, M. Finocchio, R. Moore, A. Kipman, and A. Blake. Real-Time Pose Recognition in Parts from Single Depth Images. In CVPR, 2011.
16. S. Tang, X. Wang, T. Han, J. Keller, M. Skubic, S. Lao, and Z. He. Histogram of Oriented Normal Vectors for Object Recognition with A Depth Sensor. In ACCV, 2012.
17. A. Vieira, E. Nascimento, G. Oliveira, Z. Liu, and M. Campos. STOP: Space-Time Occupancy Patterns for 3D Action Recognition from Depth Map Sequences. In CIARP, 2012.
18. C. Wang, Y. Wang, and A. Yuille. An Approach to Pose based Action Recognition. In CVPR, 2013.
19. H. Wang, A. Klaser, C. Schmid, and C. Liu. Dense Trajectories and Motion Boundary Descriptors for Action Recognition. IJCV, 2013.
20. J. Wang, Z. Liu, J. Chorowski, Z. Chen, and Y. Wu. Robust 3D Action Recognition with Random Occupancy Patterns. In ECCV, 2012.
21. J. Wang, Z. Liu, Y. Wu, and J. Yuan. Mining Actionlet Ensemble for Action Recognition with Depth Cameras. In CVPR, 2012.
22. L. Xia and J. Aggarwal. Spatio-Temporal Depth Cuboid Similarity Feature for Activity Recognition Using Depth Camera. In CVPR, 2013.
23. L. Xia, C. Chen, and J. Aggarwal. View Invariant Human Action Recognition Using Histograms of 3D Joints. In CVPR Workshop, 2012.
24. X. Yang and Y. Tian. EigenJoints based Action Recognition Using Naive Bayes Nearest Neighbor. In CVPR Workshop, 2012.
25. X. Yang and Y. Tian. Recognizing Actions Using Depth Motion Maps based Histograms of Oriented Gradients. In ACM Multimedia, 2012.
26. M. Zanfir, M. Leordeanu, and C. Sminchisescu. The Moving Pose: An Efficient 3D Kinematics Descriptor for Low-Latency Action Recognition and Detection. In ICCV, 2013.
27. X. Zhou, K. Yu, T. Zhang, and T. Huang. Image Classification Using Super-Vector Coding of Local Image Descriptors. In ECCV, 2010.