Player tracking in sports video using optical flow analysis

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Abstract

The core aspect of this work is a review for player detection and tracing. Coaches and players prepare widely by studying the opponents attacking and self-protecting formations, plays and metrics before every game. Moving object detection is one of the serious problems in the field of surveillance, traffic monitoring, computer vision, player tracking in sports video and so forth. Detecting the objects in the video and tracking its movement to recognise its qualities have been a demanding examination zone in the area of computer image and image processing. The core aspect of this work is a review for player detection and tracking. As coaches and players prepare widely by studying the opponents offensive and defensive formations, plays and metrics before every game, tracking of player becomes a major problem because of different problems in appearance, occlusion and so on. This work offers an analysis on detection of objects, segmentation of objects and tracking of objects. It also provides the study of comparison of diverse methods used for player tracking.

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Kagalagomb, C. G., & Dixit, S. (2017). Player tracking in sports video using optical flow analysis. In Advances in Intelligent Systems and Computing (Vol. 468, pp. 733–739). Springer Verlag. https://doi.org/10.1007/978-981-10-1675-2_72

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