eSC and HOG-based adaptive HMM sign language identifying method
An adaptive, sign language technology, applied in the field of sign language recognition in multimedia technology, can solve the problems that sign language recognition technology cannot be practical
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[0054] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0055] figure 1 It is a flow chart of a sign language recognition method based on an adaptive HMM based on eSC and HOG provided by an embodiment of the present invention. like figure 1 As shown, it mainly includes the following steps:
[0056] Step S1, performing density-based sampling processing on the trajectory of sign language, and then extracting shape context features and combining with pyramid processing methods to obtain eSC features that...
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