Processing of football video, detection of players, labelling and segmentation.
Data are videos recording 2 minutes of football match with static camera, downloadable here: http://www.issia.cnr.it/wp/?portfolio=operation-agreement-cnr-figc-2
Implementation was done in Python scripts.
bgsegm.py - implementation of segmentation and labelling (classifing of team, referee) of objects.
mergeImages.py - implementation of preprocessing of datasets to perspective transformation of pitch.
meanshift.py - implementation of Mean-Shift algoritm for player tracking.
Document and presentation about this project found in folder documentation.
Video of player's tracking: https://www.youtube.com/watch?v=kh6oaD22zv8.
Video of players segmentation: https://www.youtube.com/watch?v=rWVesKNeH6U.