997 resultados para Football Bahia


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Perdikis, Nicholas, Thomas, Dennis, Inter-regional transfer trade flows in the English football league', Tijdschrift voor Economie en Management (2002) 47 (4) 477-509 RAE2008

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Thomas, Dennis, Carmichael, Fiona, 'Home field effect and team performance: Evidence from English Premiership football', Journal of Sports Economics (2005) 6(3) pp.264-281 RAE2008

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The reminiscence bump is the tendency to recall more autobiographical memories from adolescence and early adulthood than from adjacent lifetime periods. In this online study, the robustness of the reminiscence bump was examined by looking at participants' judgements about the quality of football players. Dutch participants (N = 619) were asked who they thought the five best players of all time were. The participants could select the names from a list or enter the names when their favourite players were not on the list. Johan Cruijff, Pelé, and Diego Maradona were the three most often mentioned players. Participants frequently named football players who reached the midpoint of their career when the participants were adolescents (mode = 17). The results indicate that the reminiscence bump can also be identified outside the autobiographical memory domain.

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This study examined whether adding spin to a ball in the free kick situation in football affects a professional footballer's perception of the ball's future arrival position. Using a virtual reality set-up, participants observed the flight paths of aerodynamically realistic free kicks with (+/- 600 rpm) and without sidespin. With the viewpoint being fixed in the centre of the goal, participants had to judge whether the ball would have ended up in the goal or not. Results show that trajectories influenced by the Magnus force caused by sidespin gave rise to a significant shift in the percentage of goal responses. The resulting acceleration that causes the ball to continually change its heading direction as the trajectory unfolds does not seem to be taken into account by the participants when making goal judgments. We conclude that the visual system is not attuned to such accelerated motion, which may explain why goalkeepers appear to misjudge the future arrival point of such curved free kicks.

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This study is concerned with men's talk about emotions and with how emotion discourses function in the construction and negotiation of masculine ways of doing emotions and of consonant masculine subject positions. A sample group of 16 men, who were recruited from two social contexts in England, participated in focus groups on 'men and emotions'. Group discussions were transcribed and analysed using discourse analysis. Participants drew upon a range of discursive resources in constructing masculine emotional behaviour and negotiating masculine subject positions. They constructed men as emotional beings, but only within specific, rule-governed contexts, and cited death, a football match and a nightclub scenario as prototypical contexts for the permissible/understandable expression of grief, joy and anger, respectively. However, in the nightclub scenario, the men distanced themselves from the expression of anger as violence, whilst maintaining a masculine subject position. These discursive practices are discussed in terms of the possibilities for effecting change in men's emotional lives.

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Color segmentation of images usually requires a manual selection and classification of samples to train the system. This paper presents an automatic system that performs these tasks without the need of a long training, providing a useful tool to detect and identify figures. In real situations, it is necessary to repeat the training process if light conditions change, or if, in the same scenario, the colors of the figures and the background may have changed, being useful a fast training method. A direct application of this method is the detection and identification of football players.

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In this paper, we propose a multi-camera application capable of processing high resolution images and extracting features based on colors patterns over graphic processing units (GPU). The goal is to work in real time under the uncontrolled environment of a sport event like a football match. Since football players are composed for diverse and complex color patterns, a Gaussian Mixture Models (GMM) is applied as segmentation paradigm, in order to analyze sport live images and video. Optimization techniques have also been applied over the C++ implementation using profiling tools focused on high performance. Time consuming tasks were implemented over NVIDIA's CUDA platform, and later restructured and enhanced, speeding up the whole process significantly. Our resulting code is around 4-11 times faster on a low cost GPU than a highly optimized C++ version on a central processing unit (CPU) over the same data. Real time has been obtained processing until 64 frames per second. An important conclusion derived from our study is the scalability of the application to the number of cores on the GPU. © 2011 Springer-Verlag.

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