Gesture Recognition System Based on MATLAB

MATLAB 4.99M 224 views 1 downloads 1 credits
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Resource Overview

MATLAB-based gesture recognition project including test code, sample images, and a ready-to-run .fig GUI file. The complete MATLAB source code is provided for learning reference, featuring simpler implementation compared to C++ alternatives. The code demonstrates core gesture recognition algorithms through image processing techniques like segmentation, feature extraction, and pattern classification using functions such as regionprops() and edge detection. Ideal for understanding fundamental principles before advancing to C++/OpenCV implementations.

Detailed Documentation

The MATLAB-based gesture recognition system demonstrates practical utility for computer vision applications. This project provides comprehensive resources including test code with sample gesture images, alongside an executable .fig GUI file for immediate demonstration. The shared MATLAB source code implements key computer vision techniques: background subtraction using frame differencing, hand segmentation through skin color detection (YCbCr color space), feature extraction via contour analysis (bwboundaries function), and classification using template matching or geometric descriptors. Compared to C++ implementations, the MATLAB version offers clearer syntax and built-in image processing toolbox functions (imread, imfilter, etc.) that simplify algorithm understanding. By examining the code structure and functions like imcrop for ROI selection and corr2 for similarity measurement, learners can grasp gesture recognition methodologies before attempting more complex C++/OpenCV versions.

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