GPU based GMM segmentation of kinect data
This provides a real-time segmentation solution for RGBD sensors like Kinect, but it is incremental as it adapts existing GMM methods to GPU acceleration.
The paper tackles background/foreground segmentation of RGBD data using Gaussian Mixture Models, achieving real-time performance at 30fps with robustness to illumination changes, shadows, and reflections.
This paper presents a novel approach for background/foreground segmentation of RGBD data with the Gaussian Mixture Models (GMM). We first start by the background subtraction from the colour and depth images separately. The foregrounds resulting from both streams are then fused for a more accurate detection. Our segmentation solution is implemented on the GPU. Thus, it works at the full frame rate of the sensor (30fps). Test results show its robustness against illumination change, shadows and reflections.