Paper Details: Downloads: 2258
Serial Number: P1151733581
Title: A Precise Technique for Hand Gesture Recognition
Authors: Ayush Purohit and Shardul Singh Chauhan
Abstract: Vision based methodologies provides a more natural and proficient result when contrasted with traditional strategies which have been utilized for hand gesture recognition. In this paper, we proposed a video based hand gesture recognition. Our approach commences by acquiring the video frame from a source and converting it into 2D binary frame using YCbCr color space. We implemented opening and closing operations to filter the noise from the frame. In order to track and segment the hand gesture we used Kalman filter and convex hull along with convexity defects for detecting hand regions from the frame. Our framework can perceive six kinds of hand gestures at present time.
Keywords: Computer Vision, Convex Hull, Convexity Defect, Kalman Filter.
Journal/Conference: International Journal of Graphics, Vision and Image Processing
Volume: 17
Issue: 2
Submission Date: 8/15/2017 12:00:00 AM
Review Date: 9/12/2017 12:00:00 AM
Publishing Date: 1/9/2018 12:00:00 AM
Article Downloads: 2258
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