Real - Time Hand
نویسندگان
چکیده
This paper gives architecture and implementation details of a hand tracking and gesture recognition system which has been developed at Olivetti Research Limited as an application for the Medusa distributed multimedia environment. The system uses live 15-bit colour video from a networked camera, runs in real time (25 frames/sec on a DEC Alpha), and copes well with background clutter. Tracking is achieved using the 2D deformable Active Shape Models (smart snakes) of Cootes and Taylor, and a genetic algorithm is used to perform an initial global image search. The Point Distribution Model used for both snakes and genetic algorithms provides a generic and exible model that can be used to track any 2D deformable object.
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