Natural Gesture Recognition Based on Motion Detection and Skin Color

Abstract:

With the development of the Virtual Reality technology and the next Human-Machine Interaction technology, this paper focus on the object motion detection and object skin color analysis, provide one kind of hand gesture segmentation method based on one camera. This method capture the image from the single camera to detect the moving object by the time difference method and the Gaussian module method, tracking the hand motion region real time, then to segment the hand gesture using the specified region skin color features after the hand region is extracted. Using the motion detection and the skin color features both, to do static gesture recognition by the template match method after extracting the features of the static gesture contour.This experiment make clear that the segmentation has better effect and recognition result.

• Periodical: Applied Mechanics and Materials (Volumes 321-324)
• Pages: 974-979
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.321-324.974
• Online since: June 2013
• Authors: Kai Ping Feng, Ke Wan, Na Luo
• Keywords: Gesture Segmentation, Monocular Vision, Motion Detection, Skin Color Detection

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