Call For Paper Volume:6 Issue:2 Feb'2019 |

Trajectory based soccer ball detection and tracking

Publication Date : 29/06/2015

Author(s) :

Abhishek Kundu , Prof. Nitin Janwe.

Volume/Issue :
Volume 2
Issue 6
(06 - 2015)

Abstract :

Video segmentation is an application of computer vision aimed at automating the extraction of an object from a series of video frames. However, it is a difficult problem, especially to compute at real-time, interactive rates. Although general application to video is difficult because of the high range of image scenarios, user interaction can help to reduce the problem space and speed up the computation. This paper provides new method to detect the ball position by creating and analyzing the trajectory. It is very challenging to detect and track the ball from the broadcast soccer video. Candidate collection by use of the heuristic false candidate reduction, the Kalman filter based trajectory mining, and the trajectory evaluation is used to obtain the trajectory of ball. 

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Trajectory based soccer ball detection and tracking

June 27, 2015