Application analysis of multi-target tracking algorithm based on BSIC-re ID and spatio-temporal constraints in basketball games Online publication date: Thu, 01-Aug-2024
by Mingzhi Ye
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 27, No. 2, 2024
Abstract: With the development of multi-target tracking technology, it has become an important part of ensuring the fairness of basketball games. The traditional multi-target tracking technology has disadvantages such as inaccurate data acquisition and low efficiency. In order to solve these problems, this study effectively combines human key point detection with spatio-temporal constraint recognition technology to design a multi-target tracking modelling algorithm suitable for basketball games. The results show that in the training set, the recognition rate of the modelling method for the basketball player's trajectory is 85.6%; meanwhile, the PR curve area of the modelling method is 0.86, and the selection accuracy is 93.61%, which are better than the comparison method. This indicates that the modelling algorithm is more suitable for multi-target tracking than the existing methods. It aims to provide a new research direction for basketball multi-target tracking technology.
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