Classification of cricket videos using finite state machines

The problem of classifying scenes from cricket video is addressed and a robust framework for this problem is proposed. It is proposed that the finite state machines (FSM) are suitable for detecting and classifying scenes and their usage is demonstrated for three types of events: wicket, six and four. This framework utilises the structural information of the scenes together with the low-level and mid-level features. Low-level features of the...