论文信息 - On HMM static hand gesture recognition

On HMM static hand gesture recognition

A real time static isolated gesture recognition application using a Hidden Markov Model approach with features extracted from gestures' silhouettes is presented. Nine different hand poses with various degrees of rotation are considered. The system, both simple and effective, uses color images of the hands to be recognized directly from the camera and is capable of processing 23 frames per second on a Quad Core Intel Processor.

Liviu Goras | Radu-Laurentiu Vieriu | Bogdan Goras

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