Edmond S. L. Ho
Jacky C. P. Chan
ABSTRACT
Retrieving pre-captured human motion for analyzing and synthesizing virtual character movement have been widely used in Virtual Reality (VR) and interactive computer graphics applications. In this paper, we propose a new human pose representation, called Spatial Relations of Human Body Parts (SRBP), to represent spatial relations between body parts of the subject(s), which intuitively describes how much the body parts are interacting with each other. Since SRBP is computed from the local structure (i.e. multiple body parts in proximity) of the pose instead of the information from individual or pairwise joints as in previous approaches, the new representation is robust to minor variations of individual joint location. Experimental results show that SRBP outperforms the existing skeleton-based motion retrieval and classification approaches on benchmark databases.
- Celiktutan, O., Akgul, C. B., Wolf, C., and Sankur, B. 2013. Graph-based analysis of physical exercise actions. In Proceedings of the 1st ACM International Workshop on Multimedia Indexing and Information Retrieval for Healthcare, ACM, New York, NY, USA, MIIRH '13, 23--32. Google Scholar
Digital Library
- Chang, C.-C., and Lin, C.-J. 2011. LIBSVM: A library for support vector machines. ACM Transactions on Intelligent Systems and Technology 2, 27:1--27:27. Google ScholarDigital Library
- Delaitre, V., Sivic, J., and Laptev, I. 2011. Learning person-object interactions for action recognition in still images. In Advances in Neural Information Processing Systems.Google Scholar
- Ho, E. S. L., and Komura, T. 2009. Indexing and retrieving motions of characters in close contact. Visualization and Computer Graphics, IEEE Transactions on 15, 3 (May-June), 481--492. Google ScholarDigital Library
- Ho, E. S. L., Komura, T., and Tai, C.-L. 2010. Spatial relationship preserving character motion adaptation. ACM Trans. Graph. 29, 4 (July), 33:1--33:8. Google ScholarDigital Library
- Ho, E. S. L., Chan, J. C. P., Komura, T., and Leung, H. 2013. Interactive partner control in close interactions for real-time applications. ACM Trans. Multimedia Comput. Commun. Appl. 9, 3 (July), 21:1--21:19. Google ScholarDigital Library
- Kovar, L., Gleicher, M., and Pighin, F. 2002. Motion graphs. ACM Trans. Graph. 21, 3 (July), 473--482. Google ScholarDigital Library
- Kyan, M., Sun, G., Li, H., Zhong, L., Muneesawang, P., Dong, N., Elder, B., and Guan, L. 2015. An approach to ballet dance training through ms kinect and visualization in a cave virtual reality environment. ACM Trans. Intell. Syst. Technol. 6, 2 (Mar.), 23:1--23:37. Google ScholarDigital Library
- Müller, M., Röder, T., and Clausen, M. 2005. Efficient content-based retrieval of motion capture data. ACM Trans. Graph. 24, 3 (July), 677--685. Google ScholarDigital Library
- Pronost, N., Multon, F., Li, Q., Geng, W., Kulpa, R., and Dumont, G. 2008. Interactive animation of virtual characters: Application to virtual kung-fu fighting. In Cyberworlds, 2008 International Conference on, 276--283. Google ScholarDigital Library
- Rabiner, L., and Juang, B.-H. 1993. Fundamentals of speech recognition. Prentice-Hall, Inc., Upper Saddle River, NJ, USA. Google ScholarDigital Library
- Tang, J. K., Chan, J. C., Leung, H., and Komura, T. 2012. Interaction retrieval by spacetime proximity graphs. Computer Graphics Forum 31, 2pt4, 745--754. Google ScholarDigital Library
- Yun, K., Honorio, J., Chattopadhyay, D., Berg, T., and Samaras, D. 2012. Two-person interaction detection using body-pose features and multiple instance learning. In CVPR Workshops, 28--35.Google Scholar
Index Terms
- Modeling spatial relations of human body parts for indexing and retrieving close character interactions
Recommendations
Classification of Multi-class Daily Human Motion using Discriminative Body Parts and Sentence Descriptions
In this paper, we propose a motion model that focuses on the discriminative parts of the human body related to target motions to classify human motions into specific categories, and apply this model to multi-class daily motion classifications. We extend ...
Synchronized multi-character motion editing
The ability to interactively edit human motion data is essential for character animation. We present a novel motion editing technique that allows the user to manipulate synchronized multiple character motions interactively. Our Laplacian motion editing ...
Synchronized multi-character motion editing
SIGGRAPH '09: ACM SIGGRAPH 2009 papersThe ability to interactively edit human motion data is essential for character animation. We present a novel motion editing technique that allows the user to manipulate synchronized multiple character motions interactively. Our Laplacian motion editing ...
Comments