Resolving hand over face occlusion
Computer Science, Artificial Intelligence; Computer Science, Theory &; Methods
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.
Computer Vision in Human-Computer Interaction, Proceedings
"Resolving hand over face occlusion" (2005). Faculty Bibliography 2000s. 5681.