Reinforcement Learning for Predictive Sports Analytics

Our project develops novel machine learning algorithms for interpreting complex, multi-agent scenarios in sports analytics. The collaboration with our industrial partner SPORTLOGiQ will tackle open problems in deep reinforcement learning to build novel capabilities in sports analytics for ice hockey. Deep reinforcement learning is a breakthrough technology with prominent successes in games such as Go […]

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Automated multi-target tracking in broadcast video cameras

Automated object detection and tracking in videos is still one of the challenging problems in computer vision. Generally, it is a very challenging problem due to the loss of information caused by the projection of the 3D world on a 2D image, noise in images, cluttered background, complex object motion, partial or full occlusions, changes […]

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