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» Interactive Image Segmentation Using an Adaptive GMMRF Model
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ECCV
2006
Springer
16 years 3 months ago
Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics
Abstract. This paper presents a novel approach to unsupervised texture segmentation that relies on a very general nonparametric statistical model of image neighborhoods. The method...
Suyash P. Awate, Tolga Tasdizen, Ross T. Whitaker
CVPR
1999
IEEE
1071views Computer Vision» more  CVPR 1999»
16 years 3 months ago
Adaptive Background Mixture Models for Real-Time Tracking
A common method for real-time segmentation of moving regions in image sequences involves "background subtraction," or thresholding the error between an estimate of the i...
Chris Stauffer, W. Eric L. Grimson
ICCV
2007
IEEE
16 years 3 months ago
Multi-Object Tracking Through Clutter Using Graph Cuts
The standard graph cut technique is a robust method for globally optimal image segmentations. However, because of its global nature, it is prone to capture outlying areas similar ...
Allen Tannenbaum, James G. Malcolm, Yogesh Rathi
CVPR
2007
IEEE
16 years 3 months ago
Joint Object Segmentation and Behavior Classification in Image Sequences
In this paper, we propose a general framework for fusing bottom-up segmentation with top-down object behavior classification over an image sequence. This approach is beneficial fo...
Laura Gui, Jean-Philippe Thiran, Nikos Paragios
CIVR
2008
Springer
141views Image Analysis» more  CIVR 2008»
15 years 3 months ago
Experiments in interactive video search by addition and subtraction
We have developed an interactive video search system that allows the searcher to rapidly assess query results and easily pivot off those results to form new queries. The system i...
John Adcock, Matthew L. Cooper, Jeremy Pickens