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ICCV
2001
IEEE
15 years 11 months ago
BraMBLe: A Bayesian Multiple-Blob Tracker
Blob trackers have become increasingly powerful in recent years largely due to the adoption of statistical appearance models which allow effective background subtraction and robus...
Michael Isard, John MacCormick
DICTA
2003
14 years 10 months ago
Unsupervised Segmentation of Moving MPEG Blocks Based on Classification of Temporal Information
Most codecs such as MPEG-1,2 are based on processing pixels in predetermined tiles of square blocks. The processing of each block is independent of the object-based contents that m...
Ofer Miller, Amir Averbuch, Yosi Keller
ECCV
2010
Springer
14 years 7 months ago
Non-local Characterization of Scenery Images: Statistics, 3D Reasoning, and a Generative Model
Abstract. This work focuses on characterizing scenery images. We semantically divide the objects in natural landscape scenes into background and foreground and show that the shapes...
Tamar Avraham, Michael Lindenbaum
ECCV
2002
Springer
15 years 11 months ago
Probabilistic and Voting Approaches to Cue Integration for Figure-Ground Segmentation
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...
Eric Hayman, Jan-Olof Eklundh
CVPR
2003
IEEE
15 years 11 months ago
Object-Specific Figure-Ground Segregation
We consider the problem of segmenting an image into foreground and background, with foreground containing solely objects of interest known a priori. We propose an integration mode...
Stella X. Yu, Jianbo Shi