Abstract
With the growth of fandom population, a considerable amount of broadcast sports videos have been recorded, and a lot of research has focused on automatically detecting semantic events in the recorded video to develop an efficient video browsing tool for a general viewer. However, a professional sportsman or coach wonders about high level semantics in a different perspective, such as the offensive or defensive strategy performed by the players. Analyzing tactics is much more challenging in a broadcast basketball video than in other kinds of sports videos due to its complicated scenes and varied camera movements. In this paper, by developing a quadrangle candidate generation algorithm and refining the model fitting score, we ameliorate the court-based camera calibration technique to be applicable to broadcast basketball videos. Player trajectories are extracted from the video by a CamShift-based tracking method and mapped to the real-world court coordinates according to the calibrated results. The player position/trajectory information in the court coordinates can be further analyzed for professional-oriented applications such as detecting wide open event, retrieving target video clips based on trajectories, and inferring implicit/explicit tactics. Experimental results show the robustness of the proposed calibration and tracking algorithms, and three practicable applications are introduced to address the applicability of our system.
Original language | English |
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Article number | 5671490 |
Pages (from-to) | 266-279 |
Number of pages | 14 |
Journal | IEEE Transactions on Multimedia |
Volume | 13 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2011 Apr 1 |
All Science Journal Classification (ASJC) codes
- Signal Processing
- Media Technology
- Computer Science Applications
- Electrical and Electronic Engineering