Ball Tracking in Volleyball based on Combination of Particle Filter and Genetic Algorithm

سال انتشار: 1398
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 443

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شناسه ملی سند علمی:

GERMANCONF03_175

تاریخ نمایه سازی: 12 شهریور 1399

چکیده مقاله:

In sport analysis, the detection and tracking the ball is one of the key issues to discovery the events of the match. Usually overlapping with other objects and missing in consecutive frames are the most important problems of ball detection and tracking in the sport video images. These problems caused by the size, shape and the speed of the ball. In this paper an algorithm for ball detection and tracking in volleyball matches is presented. The ball tracking process consists of two steps: detection and tracking. In the first step, in order to remove a part of non-ball objects, size and shape filters are used after frame differencing. The support vector machine is used to determine the target ball among the ball candidates. In the second step, the combination of Particle filter and Genetic algorithm are used to track the ball. The proposed algorithm is evaluated on two datasets. In these datasets the camera is fixed and shots on one side of the ground. The accuracy of ball tracking in dataset number one is 85.03% and in dataset number two is 90.39%.

نویسندگان

Atefeh Bayati

MA of Software, Department of Computer, College of Mechatronic, Karaj Branch, Islamic Azad University, Iran

Azam Bastanfard

Assistant Professor, Department of Computer, College of Mechatronic, Karaj Branch, Islamic Azad University, Iran