Tracking sports players over a large playing area is a challenging problem.

This study examined the role of ability, effort, luck and difficulty of the task in attributions for successful and unsuccessful performances made by Spanish team sport players, and determined if differences exist between athletes at

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We employ hierarchical data association to track players in team sports. Player movements are often complex and highly correlated with both nearby and distant players. A single model would require many degrees of freedom to represent the full motion diversity and could be difficult to use

Abstract Objectives. Sport has become such a powerful global phenomenon that a country like Singapore has set its sights on becoming one of the top ten sporting nations in Asia. A full 'Sport School' will commence in 2004 to achieve these aims and to further entice the commitment

and the general applicability of the tracking system. MOTIVATION AND OBJECTIVES The state-of-the art sports tracking technology is largely based on severely limited video image processing. Inspired by advances in the field of real-time sensor data gathering, this proposal addresses the tracking issue by using

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challenges come from the players ’ behavior, their similar appearance, and the mutual occlusions present in the views. In addition, the extracted foreground silhouettes are severely degraded due to the polished floor reflecting the players, and the strong shadow present in the scene. We present qualitative

Abstract. Although ‘tracking-by-detection ’ is a popular approach when reliable object detectors are available, missed detections remain a diffi-cult hurdle to overcome. We present a hybrid stochastic/deterministic optimization scheme that uses RJMCMC to perform stochastic search over the space of detection configurations, interleaved with deterministic computation of the optimal multi-frame data association for each pro-posed detection hypothesis. Since object trajectories do not need to be estimated directly by the sampler, our approach is more efficient than traditional MCMCDA techniques. Moreover, our holistic formulation is able to generate longer, more reliable trajectories than baseline tracking-by-detection approaches in challenging multi-target scenarios. 1

The aim of this research was to evaluate the biomechanical parameters of lower limbs and their influence on height of vertical jump. The research was conducted on a group of females practicing basketball and volleyball. The following equipment was used during the experiment: a force plate by Kistler, a Biometrics electrogoniometer and a specially designed chair to measure static torque by OPIW Opole. The results indicated that the jumping abilities of the examined athletes were poor. No statistically significant correlations were observed between knee static torque and heights of vertical jumps: CMJ and DJ. The authors suggest modification of the McClymont index (RSI) to evaluate the selection of platform height during plyometric training. Such modification would enable better choice of loads and better training control of the subject.