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Resolving Hand over Face Occlusion

  • Paul Smith
  • Niels da Vitoria Lobo
  • Mubarak Shah
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3766)

Abstract

This paper presents a method to segment the hand over complex backgrounds, such as the face. The similar colors and texture of the hand and face make the problem particularly challenging. Our method is based on the concept of an image force field. In this representation each individual image location consists of a vector value which is a nonlinear combination of the remaining pixels in the image. We introduce and develop a novel physics based feature that is able to measure regional structure in the image thus avoiding the problem of local pixel based analysis, which break down under our conditions. The regional image structure changes in the occluded region during occlusion. Elsewhere the regional structure remains relatively constant. We model the regional image structure at all image locations over time using a Mixture of Gaussians (MoG) to detect the occluded region in the image. We have tested the method on a number of sequences demonstrating the versatility of the proposed approach.

Keywords

Regional Structure Gesture Recognition Complex Background Hand Shape Hand Gesture Recognition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Paul Smith
    • 1
  • Niels da Vitoria Lobo
    • 1
  • Mubarak Shah
    • 1
  1. 1.Computer Vision Lab, School of Computer ScienceUniversity of Central Florida 

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