Static hand gesture segmentation for images with complex background; detection and tracking of dynamic hand gesture

Abstract

This thesis presents color hand gesture segmentation for static images with complex background along with tracking and detection of hand gesture from video sequence. This thesis consists of two works: 1) Static. 2) Dynamic. In the first part, aim is to automatically segment the hand gesture from a given image under different luminance conditions and complex backgrounds. The luminance value affects the color component of an image which leads to increase the noise level in the segmented image. This paper proposes a combined model of two color spaces i.e., HSI, YCbCr and morphological operations with labeling to improve the segmentation performance of color hand gesture from complex backgrounds in terms of completeness and correctness. The proposed color model separates the chrominance and luminance components of the image. The performance of the proposed method is demonstrated through simulation and the experime ntal results reveal that proposed method provides better performance accuracy compared to the HSI and YCbCr methods individually in terms of correctness and completeness. In the second part, aim is to automatic detection and tracking of hand gesture from v ideo sequence under different backgrounds. It involves three steps: 1). Hand tracking 2). Hand detection 3). Hand identification.Here all the simulations are done in MATLAB 10 environment.