Abstract:
"This thesis presents a Football Highlight Generator system that utilizes computer vision techniques
to detect the ball and goals in football videos, thereby automatically creating video highlights. The
goal of this project is to assist football enthusiasts in quickly generating exciting and engaging
summaries of football matches.
The proposed system leverages OpenCV, a widely used computer vision library, as its primary
tool. The ball detection algorithm employed in this project utilizes image processing techniques
such as color segmentation and contour analysis to accurately locate the ball in each frame of the
video. The goal detection algorithm focuses on identifying the ball's trajectory and utilizing key
characteristics, such as its position relative to the goalposts, to determine whether a goal has been
scored.
The system's workflow involves analyzing the video frame by frame, detecting ball movement and
interactions with players, and identifying instances of successful goals. To enhance the highlight
generation process, additional factors such as player celebrations and crowd reactions are
considered, ensuring that exciting and pivotal moments are captured.
The implemented system demonstrates promising results in accurately detecting the ball and
identifying goals, leading to the creation of compelling football highlights. The generated video
summaries provide users with an efficient and enjoyable way to relive the most important and
exhilarating moments of a football match.
The Football Highlight Generator contributes to the field of computer vision by showcasing the
application of advanced image processing techniques to the domain of sports analysis.
Furthermore, it offers practical value to football enthusiasts, journalists, and coaches, who can
benefit from the automatic generation of captivating match summaries without the need for manual
effort.
Overall, this thesis project highlights the potential of computer vision technologies, particularly in
the context of sports analysis, and demonstrates their effectiveness in generating football highlights
through ball and goal detection"