75 search results - page 12 / 15 » Spatio-Temporal Markov Random Field for Video Denoising |
ICIP
1998
IEEE
14 years 9 months ago
1998
IEEE
In this paper, we proposed a neural network based scheme for performing unsupervised video object segmentation, especially for videophone or videoconferencing applications. The pr...
IPSN
2003
Springer
14 years 20 days ago
2003
Springer
The study of collaborative, distributed, real-time sensor networks is an emerging research area. Such networks are expected to play an essential role in a number of applications su...
ACCV
2010
Springer
13 years 2 months ago
2010
Springer
Abstract. Robust foreground object segmentation via background modelling is a difficult problem in cluttered environments, where obtaining a clear view of the background to model i...
CVIU
2006
13 years 7 months ago
2006
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
In this paper, we propose a novel method to localize (or track) a foreground object and segment the foreground object from the surrounding background with occlusions for a moving ...