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ECCV
2000
Springer
14 years 9 months ago
A Probabilistic Background Model for Tracking
A new probabilistic background model based on a Hidden Markov Model is presented. The hidden states of the model enable discrimination between foreground, background and shadow. Th...
Jens Rittscher, Jien Kato, Sébastien Joga, ...
MM
2004
ACM
188views Multimedia» more  MM 2004»
14 years 1 months ago
A new method to segment playfield and its applications in match analysis in sports video
With the growing popularity of digitized sports video, automatic analysis of them need be processed to facilitate semantic summarization and retrieval. Playfield plays the fundame...
Shuqiang Jiang, Qixiang Ye, Wen Gao, Tiejun Huang
CRV
2009
IEEE
237views Robotics» more  CRV 2009»
14 years 2 months ago
SEC: Stochastic Ensemble Consensus Approach to Unsupervised SAR Sea-Ice Segmentation
The use of synthetic aperture radar (SAR) has become an integral part of sea-ice monitoring and analysis in the polar regions. An important task in sea-ice analysis is to segment ...
Alexander Wong, David A. Clausi, Paul W. Fieguth
CVPR
2008
IEEE
14 years 9 months ago
The Logistic Random Field - A convenient graphical model for learning parameters for MRF-based labeling
Graphical models are fundamental tools for modeling images and other applications. In this paper, we propose the Logistic Random Field (LRF) model for representing a discrete-valu...
Marshall F. Tappen, Kegan G. G. Samuel, Craig V. D...
IGARSS
2009
13 years 5 months ago
Estimation and Segmentation in Non-Gaussian POLSAR Clutter by SIRV Stochastic Processes
In the context of non-Gaussian polarimetric clutter models, this paper presents an application of the recent advances in the field of Spherically Invariant Random Vectors (SIRV) m...
Gabriel Vasile, Jean Philippe Ovarlez, Fréd...