METHODS FOR HANDLING FRAMES OF HAND GESTURE RECOGNITION

dc.contributor.authorTursyn D.
dc.contributor.authorSadyk U.
dc.contributor.authorAitimov A.
dc.date.accessioned2023-12-08T06:20:03Z
dc.date.available2023-12-08T06:20:03Z
dc.date.issued2021
dc.description.abstractAbstract. One of the foremost imperative errands within the field of computer vision is motion acknowledgment. This article deals with the problem of recognizing hand gestures from a static image. To solve this problem, the article suggests using the segmentation method based on the skin color model, and the recognition method based on the analysis of the shape of the hand and the selection of features that classify the gesture image. Most strategies of preparing outlines of hand gestures are considered: smoothing and binarization of pictures, their revolution, and changing the foundation. The preferences of utilizing these strategies in understanding the issue of hand motion acknowledgment are displayed.
dc.identifier.citationD. Tursyn , U. Sadyk , A. Aitimov / METHODS FOR HANDLING FRAMES OF HAND GESTURE RECOGNITION / СДУ хабаршысы - 2021
dc.identifier.issn2709-2631
dc.identifier.urihttps://repository.sdu.edu.kz/handle/123456789/923
dc.language.isoen
dc.publisherСДУ хабаршысы - 2021
dc.subjectimage processing
dc.subjectimage smoothing
dc.subjectbinarization
dc.subjectgesture recognition
dc.subjectdynamic gesture recognition
dc.subjectstatic gesture recognition
dc.subjectskeletonization
dc.subjectСДУ хабаршысы - 2021
dc.subject№1
dc.titleMETHODS FOR HANDLING FRAMES OF HAND GESTURE RECOGNITION
dc.typeArticle

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