Abstract: The objective of the prediction system is to identify exactly where the shooter is going to kick the ball while taking a penalty, right before he actually does so. This involves close analysis of the player’s features and characteristic behaviour that he portrays in the seconds prior to the actual kicking. Computers can derive different predictions based on machine learning techniques such as neural networks and fuzzy logic which will be seen as we proceed. In this proposed project, we analyze videos of particular players by first extracting frames and then, performing operations on them. We draw out features such as angle of leg movement, trajectory of path, etc. and train our system in detecting these aspects. After these features have been appropriately drawn out, the system makes a decision on which direction the player is going to shoot based on certain rules (fuzzy logic) that have been assigned based on behaviour. We shall also see in the sections below, the different ways each feature has been extracted.
Keywords: Feature Analysis, Frame Extraction, Fuzzy Inference Systems, Machine Learning.
Title: Image Processing Techniques: Application on Penalties taken in Football
Author: Tushar Sharma, Ambarish Ravindran, Prashanth Rajaram
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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