Abstract: There is provided a system and method for automated video segmentation of an input video signal. The input video signal capturing a playing surface of a team sporting event. The method including: receiving the input video signal; determining player position masks from the input video signal; determining optic flow maps from the input video signal; determining visual cues using the optic flow maps and the player position masks; classifying temporal portions of the input video signal for game state using a trained hidden Markov model, the game state comprising either game in play or game not in play, the hidden Markov model receiving the visual cues as input features, the hidden Markov model trained using training data comprising a plurality of visual cues for previously recorded video signals each with labelled play states; and outputting the classified temporal portions.

Abstract: There is provided a system and method for automated video processing of an input video signal using tracking of a single moveable bilaterally-targeted game-object involved in a team-based sporting event.

Abstract: There is provided a system and method for automated video processing of an input video signal using tracking of a single moveable bilaterally-targeted game-object involved in a team-based sporting event.