Consensus-based trajectory estimation for ball detection in calibrated cameras systems
| Autor: | Pascaline Parisot, Christophe De Vleeschouwer |
|---|---|
| Přispěvatelé: | UCL - SST/ICTM/ELEN - Pôle en ingénierie électrique |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Computer science
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering 02 engineering and technology RANSAC Viewpoints Computer graphics Nonlinear system Software deployment 0202 electrical engineering electronic engineering information engineering Ball (bearing) False positive paradox 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Sensory cue Information Systems |
| Zdroj: | Journal of Real-Time Image Processing, Vol. 2016, no.Sept, p. 1-16 (September 2016) |
| Popis: | This paper considers the detection of the ball in team sport scenes observed with still or motion-compensated calibrated cameras. Foreground masks do provide primary cues to identify circular moving objects in the scene, but are shown to be too noisy to achieve reliable detections of weakly contrasted balls, especially when a single viewpoint is available, as often desired for reduced deployment cost. In those cases, trajectory analysis has been shown to provide valuable complementary information to differentiate true and false positives among the candidates detected by the foreground mask(s). In this paper, we focus on the detection of ball trajectory segments, exclusively from visual cues, without considering semantic reasoning about team play to connect those segments into long trajectories. We revisit several recent works, and introduce a publicly available dataset to compare them. We conclude that randomized consensus-based methods are competitive compared to the alternative deterministic graph-based solutions, while offering the additional advantage to naturally extend to the cost-effective single-view scenario. As an original contribution, we also introduce a procedure to efficiently clean up the foreground mask in correlation-based methods and a nonlinear rank-order filter to merge the foreground cues from multiple viewpoints. We also derive recommendations regarding the camera positioning and the buffering needs of a real-time acquisition system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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