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Dynamic hand gesture recognition: An exemplar-based approach from motion divergence fields
2012
Image and Vision Computing
Exemplar-based approaches for dynamic hand gesture recognition usually require a large collection of gestures to achieve high-quality performance. Efficient visual representation of the motion patterns hence is very important to offer a scalable solution for gesture recognition when the databases are large. In this paper, we propose a new visual representation for hand motions based on the motion divergence fields, which can be normalized to gray-scale images. Salient regions such as Maximum
doi:10.1016/j.imavis.2011.11.003
fatcat:wxns4fcwb5bjlgnty7atolznze