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» Video Objects Segmentation by Robust Background Modeling
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ICPR
2008
IEEE
15 years 10 months ago
Segmentation by combining parametric optical flow with a color model
We present a simple but efficient model for object segmentation in video scenes that integrates motion and color information in a joint probabilistic framework. Optical flow is mo...
Adrian Ulges, Thomas M. Breuel
73
Voted
ICIP
2005
IEEE
15 years 11 months ago
Tracking objects in video using motion and appearance models
This paper proposes a visual tracking algorithm that combines motion and appearance in a statistical framework. It is assumed that image observations are generated simultaneously ...
Aswin C. Sankaranarayanan, Rama Chellappa, Qinfen ...
ACCV
2006
Springer
15 years 3 months ago
Object Tracking Using Background Subtraction and Motion Estimation in MPEG Videos
We present a fast and robust method for moving object tracking directly in the compressed domain using features available in MPEG videos. DCT domain background subtraction in Y pla...
Ashwani Aggarwal, Susmit Biswas, Sandeep Singh, Sh...
VMV
2003
324views Visualization» more  VMV 2003»
14 years 10 months ago
A Color Similarity Measure for Robust Shadow Removal in Real Time
We introduce an approach for realtime segmentation of a scene into foreground objects, background, and object shadows superimposed on the background. To segment foreground objects...
Daniel Grest, Jan-Michael Frahm, Reinhard Koch
ICASSP
2010
IEEE
14 years 9 months ago
Visual localization and segmentation based on foreground/background modeling
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 ...
Hanzi Wang, Tat-Jun Chin, David Suter