Paper Info
Title
Improved video segmentation by adaptive combination of depth keying and mixture-of-gaussians
Abstract
Video segmentation or matting, the separation of foreground objects from background in video sequences, is a demanding task and is needed for a broad range of applications. The most widespread method for video segmentation is chroma-keying using a known background color for which a controlled environment is required. Recently a different method of keying fore-and background has been proposed in which the chroma-keying is replaced by depth-keying using a Time-of-Flight (ToF) camera. The current ToF-cameras suffer from noise and low resolution sensors, which results in unsatisfying segmentation results. We propose to combine the segmentation of dynamic objects in depth with a segmentation in the color domain using adaptive background models. We weight the two measures depending on the actual depth values using either the variance of the depth images of the ToF-camera or the amplitude image of the ToF-camera as reliability measure. We show that both methods significantly improve the segmentation results.
Year
DOI
Venue
2011
10.1007/978-3-642-21227-7_6
SCIA
Keywords
Field
DocType
video segmentation,actual depth,improved video segmentation,segmentation result,depth image,adaptive combination,unsatisfying segmentation result,fore-and background,color domain,adaptive background model,depth keying,known background color,video sequence,time of flight,mixture of gaussians,low resolution
Computer vision,Scale-space segmentation,Pattern recognition,Segmentation,Computer science,Keying,Segmentation-based object categorization,Image segmentation,Artificial intelligence,Mixture model
Conference
Volume
ISSN
Citations 
6688
0302-9743
18
PageRank 
References 
Authors
0.81
7
2
Name
Order
Citations
PageRank
Ingo Schiller11199.74
Reinhard Koch22038170.17