Simultaneous Feature and Body-Part Learning for real-time robot awareness of human behaviors

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2017, Pages 2621-2628

  Han, Fei ^a   Yang, Xue ^a   Reardon, Christopher ^b   Zhang, Yu ^c   Zhang, Hao ^a  

^a Department of Metallurgical and Materials Engineering   (United States)

^b U S ARMY RESEARCH LABORATORY   (United States)

^c Arizona State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; COMPUTER AIDED DESIGN; HUMAN COMPUTER INTERACTION; INTELLIGENT ROBOTS; OPTIMIZATION; PROBLEM SOLVING; ROBOTICS; ROBOTS; SOCIAL SCIENCES;

FORMULATED PROBLEMS; HUMAN-ROBOT COLLABORATION; OPTIMIZATION ALGORITHMS; OPTIMIZATION PROBLEMS; RECOGNITION ACCURACY; ROBOTICS APPLICATIONS; STRUCTURED SPARSITIES; THEORETICAL GUARANTEES;

BEHAVIORAL RESEARCH;

EID: 85017481877     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRA.2017.7989306     Document Type: Conference Paper

References (32)

1. H. Zhang, W. Zhou, C. Reardon, and L. E. Parker, "Simplex-based 3d spatio-temporal feature description for action recognition", in CVPR, 2014.
2. J. Wang, Z. Liu, Y. Wu, and J. Yuan, "Learning actionlet ensemble for 3d human action recognition", TPAMI, vol. 36, no. 5, pp. 914-927, 2014.
3. 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 CVPR, 2011.
4. F. Han, B. Reily, W. Hoff, and H. Zhang, "Space-time representation of people based on 3D skeletal data: A review", CVIU, 2017, to appear.
5. H. Zhang and L. E. Parker, "Bio-inspired predictive orientation decomposition of skeleton trajectories for real-time human activity prediction", in ICRA, 2015.
6. J. Sung, C. Ponce, B. Selman, and A. Saxena, "Unstructured human activity detection from RGBD images", in ICRA, 2012.
7. X. Yang and Y. Tian, "EigenJoints-based action recognition using Naive-Bayes-Nearest-Neighbor", in CVPRW, 2012.
8. M. A. Gowayyed, M. Torki, M. E. Hussein, and M. El-Saban, "Histogram of oriented displacements (HOD): describing trajectories of human joints for action recognition", in IJCAI, 2013.
9. X. Yang and Y. Tian, "Effective 3D action recognition using Eigen-Joints", JVCIR, vol. 25, no. 1, pp. 2-11, 2014.
10. J. Wang, Z. Liu, Y. Wu, and J. Yuan, "Mining actionlet ensemble for action recognition with depth cameras", in CVPR, 2012.
11. F. Ofli, R. Chaudhry, G. Kurillo, R. Vidal, and R. Bajcsy, "Sequence of the most informative joints (SMIJ): A new representation for human skeletal action recognition", JVCIR, vol. 25, no. 1, pp. 24-38, 2014.
12. X. Chen and M. Koskela, "Online RGB-D gesture recognition with extreme learning machines", in ICMI, 2013.
13. P. Wei, Y. Zhao, N. Zheng, and S.-C. Zhu, "Modeling 4D humanobject interactions for event and object recognition", in ICCV, 2013.
14. P. Wei, N. Zheng, Y. Zhao, and S.-C. Zhu, "Concurrent action detection with structural prediction", in AAAI, 2013.
15. G. Yu, Z. Liu, and J. Yuan, "Discriminative orderlet mining for realtime recognition of human-object interaction", in ACCV, 2014.
16. S. Z. Masood, C. Ellis, A. Nagaraja, M. F. Tappen, J. J. L. Jr., and R. Sukthankar, "Measuring and reducing observational latency when recognizing actions", in ICCV, 2011.
17. C. Wang, Y. Wang, and A. L. Yuille, "An approach to pose-based action recognition", in CVPR, 2013.
18. B. X. Nie, C. Xiong, and S.-C. Zhu, "Joint action recognition and pose estimation from video", in CVPR, 2015.
19. Y. Du, W. Wang, and L. Wang, "Hierarchical recurrent neural network for skeleton based action recognition", in CVPR, 2015.
20. A. A. Chaaraoui, J. R. Padilla-Lopez, P. Climent-Perez, and F. Florez-Revuelta, "Evolutionary joint selection to improve human action recognition with RGB-D devices", ESA, vol. 41, no. 3, pp. 786-794, 2014.
21. M. Reyes, G. Domínguez, and S. Escalera, "Feature weighting in dynamic timewarping for gesture recognition in depth data", in ICCVW, 2011.
22. O. Patsadu, C. Nukoolkit, and B. Watanapa, "Human gesture recognition using Kinect camera", in IJCCSSE, 2012.
23. D.-A. Huang and K. M. Kitani, "Action-reaction: Forecasting the dynamics of human interaction", in ECCV, 2014.
24. R. Chaudhry, F. Ofli, G. Kurillo, R. Bajcsy, and R. Vidal, "Bioinspired dynamic 3D discriminative skeletal features for human action recognition", in CVPR, 2013.
25. F. Nie, H. Huang, X. Cai, and C. H. Ding, "Efficient and robust feature selection via joint l2, 1-norms minimization", in NIPS, 2010.
26. W. Li, Z. Zhang, and Z. Liu, "Action recognition based on a bag of 3D points", in CVPRW, 2010.
27. C. Ellis, S. Z. Masood, M. F. Tappen, J. J. Laviola Jr, and R. Sukthankar, "Exploring the trade-off between accuracy and observational latency in action recognition", IJCV, vol. 101, no. 3, pp. 420-436, 2013.
28. L. Xia, C.-C. Chen, and J. Aggarwal, "View invariant human action recognition using histograms of 3D joints", in CVPRW, 2012.
29. B. Ben Amor, J. Su, and A. Srivastava, "Action recognition using rateinvariant analysis of skeletal shape trajectories", TPAMI, vol. 38, no. 1, pp. 1-13, 2016.
30. B. Ni, P. Moulin, and S. Yan, "Order-preserving sparse coding for sequence classification", in ECCV, 2012.
31. L. Piyathilaka and S. Kodagoda, "Gaussian mixture based HMM for human daily activity recognition using 3D skeleton features", in CIEA, 2013.
32. C. Zhang and Y. Tian, "RGB-D camera-based daily living activity recognition", CVIP, vol. 2, no. 4, p. 12, 2012.