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» Panoramic Video Segmentation Using Color Mixture Models
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CVPR
2001
IEEE
14 years 7 months ago
Object Based Segmentation of Video Using Color, Motion and Spatial Information
Video segmentation is different from segmentation of a single image. While several correct solutions may exist for segmenting a single image, there needs to be a consistency among...
Sohaib Khan, Mubarak Shah
CVPR
1999
IEEE
14 years 7 months ago
Panoramic EPI Generation and Analysis of Video from a Moving Platform with Vibration
This paper presents a novel approach for generating and analyzing epipolar plane images (EPIs) from video sequences taken from a moving platform subject to vibration so that the 3...
Zhigang Zhu, Guangyou Xu, Xueyin Lin
MVA
2008
125views Computer Vision» more  MVA 2008»
13 years 5 months ago
Pearson-based mixture model for color object tracking
To track objects in video sequences, many studies have been done to characterize the target with respect to its color distribution. Most often, the Gaussian Mixture Model (GMM) is ...
William Ketchantang, Stéphane Derrode, Lion...
ISDA
2010
IEEE
13 years 2 months ago
Self-adaptive Gaussian mixture models for real-time video segmentation and background subtraction
The usage of Gaussian mixture models for video segmentation has been widely adopted. However, the main difficulty arises in choosing the best model complexity. High complex models ...
Nicola Greggio, Alexandre Bernardino, Cecilia Lasc...
CVPR
2007
IEEE
14 years 7 months ago
Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework
In this paper we propose a new segmentation algorithm which combines patch-based information with edge cues under a probabilistic framework. We use a mixture of multiple Gaussians...
Omer Rotem, Hayit Greenspan, Jacob Goldberger