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 in illumination, real-time processing requirements, etc. This project is about detection, identification, and estimation the location of all hockey players in a game in the real world co-ordinates using the broadcast video cameras.