Recognizing Interactive Group Activities Using Temporal Interaction Matrices and Their Riemannian Statistics

Author:

Li Ruonan,Chellappa Rama,Zhou Shaohua Kevin

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference50 articles.

1. Aggarwal, J. K., & Ryoo, M. S. (2011). Human activity analysis: a review. ACM Computing Surveys, 43(3).

2. Amari, S., & Nagaoka, H. (2000). Methods of information geometry. London: Oxford University Press.

3. Amer, M., & Todorovic, S. (2011). A chains model for localizing group activities in videos. In IEEE international conference on computer vision, Barcelona, Spain.

4. Choi, W., Shahid, K., & Savarese, S. (2009). What are they doing?: Collective activity classification using spatio-temporal relationship among people. In 9th international workshop on visual surveillance, Kyoto, Japan.

5. Choi, W., Shahid, K., & Savarese, S. (2011). Learning context for collective activity recognition. In IEEE conference on computer vision and pattern recognition, Colorado Springs, CO.

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