Trajectory Analysis of Broadcast Soccer Videos

Prof. Jayanta Mukherjee


Abstract

Soccer is one of the most popular sports in the whole world. Increasing availability of broadcast soccer video has led to a demand for efficient and accurate automated analysis techniques. In this talk a state based video model for indexing key information will be discussed. These information are extracted by means of detection and analysis trajectories of different video objects such as the ball and players.


Maintained by Qian Yu