765 research outputs found

    Relationship between physical capacity and match performance in semiprofessional Australian rules football

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    This study investigated the relationship between physical performance and match performance in Australian Rules Football (ARF). Thirty-six semiprofessional ARF players participated in this study. Physical capacity was measured using a 3-km time trial. Match performance was measured throughout the 2013 season through 2 methods: direct game involvements (DGIs) per minute and a recording of coaches\u27 vote after the game. The main finding of the study was that 3-km time trial performance was a significant predictor of DGI per minute (p ≤ 0.05). In addition, the number of senior games played was also significant in predicting DGI per minute (p ≤ 0.05). Furthermore, the number of senior games significantly correlated with coaches\u27 votes (p ≤ 0.05). There were no significant relationships between 3-km time trial and coaches\u27 vote. The results highlight the importance of developing physical capacity in the preseason period; the players who were better performers in the 3-km time trial had a greater number of DGIs per minute. This information is important to consider in preseason planning to ensure sufficient time is dedicated to developing physical capacity in the training program, as it is directly associated with performance. In addition, this research also highlights the importance of playing experience in relation to team selection. Playing experience, as measured by the number of senior games played, had a significant relationship with both measures of match performance

    Improving Global Multi-target Tracking with Local Updates

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    Conference dates: September 6-7 & 12, 2014We propose a scheme to explicitly detect and resolve ambiguous situations in multiple target tracking. During periods of uncertainty, our method applies multiple local single target trackers to hypothesise short term tracks. These tracks are combined with the tracks obtained by a global multi-target tracker, if they result in a reduction in the global cost function. Since tracking failures typically arise when targets become occluded, we propose a local data association scheme to maintain the target identities in these situations. We demonstrate a reduction of up to 50% in the global cost function, which in turn leads to superior performance on several challenging benchmark sequences. Additionally, we show tracking results in sports videos where poor video quality and frequent and severe occlusions between multiple players pose difficulties for state-of-the-art trackers.Anton Milan, Rikke Gade, Anthony Dick, Thomas B. Moeslund, and Ian Rei

    ADVANCES IN ATHLETE TRACKING TECHNOLOGY

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    Athlete tracking is increasingly ubiquitous in elite sport. For most practitioners this involves using data from heart rate sensors, GPS or video based tracking for velocity and distance and increasingly some basic accelerometer derived parameters. However the questions that coaches want to answer from athlete tracking technology continue to evolve and become more sophisticated. This paper discusses some advances in software and hardware from Catapult Sports in Australia that are keeping pace with those emerging issues. They include a practical solution to ball tracking in team sports, and a method of using inertial sensors to better measure the non running part of an athletes activity

    The assessment of perceptual-cognitive and decision-making abilities for the prediction of talent in Australian rules football

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    Talent identification (TID) is a vital component within the recruitment process for all sporting bodies and organisations. Given the considerable influence it may have on the success of a team, substantial resources are invested in identifying young athletes with the most potential for the development of expertise. Successful performance in team sports requires an athlete to have a unique combination of physical, technical and tactical skills. Such a combination allows athletes to compensate for different areas of weaknesses in the dynamic nature of game play. However, traditional TID does not allow athletes to showcase this multi-factorial element, but instead utilises mono-dimensional approaches, such as testing only physical fitness. Thus, forecasting longitudinal performance based upon one element of effective play (e.g. physical), fails to provide sufficient information for selectors to make informed decisions and leads to biased identification. In addition, TID uses a subjective assessment for the tactical decision-making performance, whereby recruiters watch game footage to determine a player’s decision-making ability based on their own perspectives and experiences. This type of assessment is problematic as it leaves assessments open to conscious or below conscious biases, due to conflicting opinions of what constitutes good play. The purpose of the current Doctoral study was to address the current limitations in talent identification practices and explore accessible additions to the current battery of tests, with an emphasis on decision-making. This thesis examines the tactical decision-making skill requirements within Australian Rules (AR) football to identify underlying mechanisms of elite decision-making. To achieve this, we measured eye-movement behaviour and related verbal explanations for decisions. The research presented in this thesis is divided into three studies. The first study (Chapter 2) explores perceptual-cognitive and decision-making skills in elite senior AR football players. This is followed by a longitudinal study (Chapter 3) which examines perceptual-cognitive and decision-making skill for elite junior AR football players across an eighteen-month time period. These studies form the foundation for the proposed testing items in study three which is a proof of concept, outlining a protocol design that quantifies perceptual-cognitive and decision-making skill in a manner not used in current AR football TID testing programs. The research findings contribute an important body of research to the study of TID by providing a conceptually translatable means through which the development of an objective protocol design approach can be undertaken in the future, thus ensuring that objective measurements of all determinants of game play are assessed and in turn creating a more comprehensive TID procedure

    Identifying Optimal Technical and Tactical Performance Characteristics in Australian Football

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    This study identified the optimal technical and tactical performance characteristics of Australian football teams. The application of machine learning approaches identified the key indicators of successful AFL teams. The main findings of this research provide an evidence-base for key stakeholders to inform their training and match day decisions

    An Interactive Likelihood for the Multi-Bernoulli Filter

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    In this thesis, a simple yet effective technique is presented for increasing the accuracy of multi-target tracking algorithms with a focus on sequential Monte-Carlo implementations of random finite set-based approaches. This technique, referred to throughout this work as an interactive likelihood, exploits the spatial information that exists in any given measurement, reducing the need for data association and allowing for more target interaction thereby increasing overall tracking accuracy. The interactive likelihood is constructed entirely within the random finite set framework and is integrated with a multi-Bernoulli filter. In addition, a state-of-the-art deep neural network for pedestrian detection is combined in a novel way with the multi-Bernoulli filter and interactive likelihood in order to obtain a very general and flexible random finite set-based multi-target tracking algorithm. The performance of the algorithm is evaluated in a number of publicly available datasets (2003 PETS INMOVE, AFL, and TUD-Stadtmitte) using standard, well-known multi-target tracking metrics (OSPA and CLEAR MOT)
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