Software Engineering White Papers
Monocular Video Foreground/Background Segmentation by Tracking Spatial-Color Gaussian Mixture Models
Overview This paper presents a new approach to segmenting monocular videos captured by static or hand-held cameras filming large moving non-rigid foreground objects. The foreground and background objects are modeled using Spatial-Color Gaussian Mixture Models (SCGMM), and segmented using the graph cut algorithm, which minimizes a Markov random field energy function containing the SCGMM models. In view of the existence of a modeling gap between the available SCGMMs and segmentation task of a new frame, one major contribution of the paper is the introduction of a novel foreground/background SCGMM joint tracking algorithm to bridge this space, which greatly improves the segmentation performance in case of complex or rapid motion.
| Publisher | Microsoft | File Format | |
|---|---|---|---|
| Date Published | November 2006 | ||
| Format | White Papers | ||
| Topics | |||
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