High-level generative models provide elegant descriptions of videos and are commonly used as the inference framework in many unsupervised motion segmentation schemes. However, app...
Video segmentation is among the most important challenges of video processing and compression (MPEG-4 and MPEG-7). A drawback of classical methods is the computational cost due to...
Generating free-viewpoint video in outdoor sports environments is currently an unsolved problem due to difficulties in obtaining accurate background segmentation and camera calib...
Joe Kilner, Jonathan Starck, Adrian Hilton, Oliver...
This paper describes techniques for fusing the output of multiple cues to robustly and accurately segment foreground objects from the background in image sequences. Two different m...
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...