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SSIAI
2000
IEEE
14 years 3 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
ICIP
1998
IEEE
14 years 3 months ago
Video Object Segmentation Introducing Depth and Motion Information
In the paper we present a method to estimate relative depth between objects in scenes of video sequences. The information for the estimation of the relative depth is obtained from...
Montse Pardàs
CVPR
2003
IEEE
15 years 1 months ago
Object Segmentation in Videos from Moving Camera with MRFs on Color and Motion Features
In this paper we address the problem of fast segmenting moving objects in video acquired by moving camera or more generally with a moving background. We present an approach based ...
Rita Cucchiara, Andrea Prati, Roberto Vezzani
ICMCS
2007
IEEE
124views Multimedia» more  ICMCS 2007»
14 years 5 months ago
Robust Video Object Segmentation Based on K-Means Background Clustering and Watershed in Ill-Conditioned Surveillance Systems
A robust video object segmentation algorithm for complex conditions in surveillance systems is proposed in this paper. This algorithm contains an unsupervised K-Means background c...
Tse-Wei Chen, Shou-Chieh Hsu, Shao-Yi Chien
ICIP
2008
IEEE
15 years 21 days ago
MPEG video object segmentation under camera motion and multimodal backgrounds
This paper starts from a state-of-the-art efficient approach to real-time video object segmentation in the MPEG domain. It then describes several techniques to extend the algorith...
Marcos Escudero, Fabricio Tiburzi, Jesús Be...