Chun-Chieh Hsu
ABSTRACT
Jump actions are typically accompanied by spiking and imply significant events in volleyball matches. In this paper, we propose an effective system capable of jump pattern recognition in player moving trajectories from long broadcast volleyball videos. First, the entire video is segmented into clips of rallies by shot segmentation and whistle detection. Then, camera calibration is adopted to find the correspondence between coordinates in the video frames and real-world coordinates. With the homographic transformation matrix computed, real-world player moving trajectories can be derived by a sequence of tracked player locations in video frames. Jump patterns are recognized from the player moving trajectory by using a sliding window scheme with physics-based validation and context constraint. Finally, the jump locations can be estimated and jump tracks can be separated from the planar moving tracks. The experiments conducted on broadcast volleyball videos show promising results.
- Cheng, C. C. and Hsu, C. T. Fusion of Audio and Motion Information on HMM-Based Highlight Extraction for Baseball Games. IEEE Trans. on Mul., vol. 8, no. 3, pp. 585--599, 2006. Google Scholar
Digital Library
- Chen, H. T., Ma, K. L., Chuang, J. H., and Lin, H. H. Recognizing Jump Patterns with Physics-based Validation in Human Moving Trajectory. J. Vis. Com. and Ima. Rep., 2013. Google ScholarDigital Library
- Chen, H. T., Tien, M. C., Chen Y. W., Tsai, W. J., and Lee, S. Y. Physics-based ball tracking and 3D trajectory reconstruction with applications to shooting location estimation in basketball video. J. Vis. Com. and Ima. Rep., vol. 20, no. 3, pp. 204--216, 2009. Google ScholarDigital Library
- Chen, H. T., Tsai, W. J., Lee, S. Y., and Yu, J. Y. Ball tracking and 3D trajectory approximation with applications to tactics analysis from single-camera volleyball sequences. Mul. Too. and App., pp. 1--27, 2011. Google ScholarDigital Library
- Chang, M. H., Tien, M. C., and Wu, J. L. WOW: Wild-open warning for broadcast basketball video based on player trajectory. In Proceedings of the 17th ACM International Conference on Multimedia, pp. 821--824, 2009. Google ScholarDigital Library
- Farin, D., Krabbe, S., With, P. H. N. de, and Effelsberg, W. Robust camera calibration for sport videos using court models. SPIE Sto. and Ret. Met. and App. for Mul., vol.5307, pp. 80--91, 2004.Google Scholar
- Hanjalic, A. Shot-boundary detection: Unraveled and resolved? IEEE Trans. Cir. Sys. and Vid. Tec., vol. 12, no. 2, pp. 90--105, 2002. Google ScholarDigital Library
- Hsu, C. C., Chen, H. T., Chou, C. L. and Lee, S. Y. Spiking and Blocking Events Detection and Analysis in Volleyball Videos. In Proceedings of IEEE International Conference on Multimedia & Expo, pp. 19--24, 2012. Google ScholarDigital Library
- Liu, J., Carr, P., Collins, R. T. and Liu, Y. Tracking Sports Players with Context-Conditioned Motion Models. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2013. Google ScholarDigital Library
- Lucey, P., Oliver, D., Carr, P., Roth, J., and Matthews, I. Assessing team strategy using spatiotemporal data. In Proceedings of 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2013. Google ScholarDigital Library
- Niu, Z., Gao, X. and Tian, Q. Tactic Analysis Based on Real-World Ball Trajectory in Soccer Video. Pat. Rec., vol. 45, no. 5, pp. 1937--1947, 2012. Google ScholarDigital Library
- Perse, M., Kristan, M., Kovacic, S., Vuckovic, G., and Pers, J. A trajectory-based analysis of coordinated team activity in a basketball game. Com. Vis. and Ima. Und, 2009. Google ScholarDigital Library
- Welch, G. and Bishop, G. An Introduction to the Kalman Filter. Technical Report, University of North Carolina at Chapel Hill, 2002.Google ScholarDigital Library
- Xiong, Z., Radhakrishnan, R., Divakaran, A. and Huang, T. S. Highlights Extraction from Sports Video Based on an Audio-Visual Marker Detection Framework. In Proceedings of IEEE International Conference on Multimedia & Expo, 2005.Google Scholar
- Zhu, Q., Avidan, S., Yeh, M. and Cheng, K. Fast Human Detection Using a Cascade of Histograms of Oriented Gradients. IEEE Conference on Computer Vision and Pattern Recognition, 2006. Google ScholarDigital Library
Index Terms
- Trajectory Based Jump Pattern Recognition in Broadcast Volleyball Videos
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