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» A Generative Model Based Approach to Motion Segmentation
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CVPR
2005
IEEE
15 years 11 months ago
A Dynamic Conditional Random Field Model for Object Segmentation in Image Sequences
This paper presents a dynamic conditional random field (DCRF) model to integrate contextual constraints for object segmentation in image sequences. Spatial and temporal dependenci...
Qiang Ji, Yang Wang 0002
CVPR
2004
IEEE
15 years 11 months ago
Multibody Motion Segmentation Based on Simulated Annealing
The problem of multibody motion segmentation is an important and challenging issue in computer vision. In this paper, a novel segmentation technique based on simulated annealing (...
Zhimin Fan, Jie Zhou, Ying Wu
IJCV
2006
110views more  IJCV 2006»
14 years 9 months ago
Multi-body Factorization with Uncertainty: Revisiting Motion Consistency
Dynamic analysis of video sequences often relies on the segmentation of the sequence into regions of consistent motions. Approaching this problem requires a definition of which mo...
Lihi Zelnik-Manor, Moshe Machline, Michal Irani
CVPR
2010
IEEE
15 years 5 months ago
Clustering Dynamic Textures with the Hierarchical EM Algorithm
The dynamic texture (DT) is a probabilistic generative model, defined over space and time, that represents a video as the output of a linear dynamical system (LDS). The DT model ...
Antoni Chan, Emanuele Coviello, Gert Lanckriet
ICIP
2005
IEEE
15 years 11 months ago
A motion-based binary partition tree approach to video object segmentation
This paper describes an approach for generating Binary Partition Tree [7] representations and video object segmentations using a novel region merging strategy based on motion simi...
Camilo C. Dorea, Ferran Marqués, Montse Par...