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» Occlusion Modeling by Tracking Multiple Objects
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197
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ICCV
2011
IEEE
14 years 3 months ago
Conditional Random Fields for Multi-Camera Object Detection
We formulate a model for multi-class object detection in a multi-camera environment. From our knowledge, this is the first time that this problem is addressed taken into account ...
Xavier Boix, Gemma Roig, Horesh Ben Shitrit, Pasca...
142
Voted
IJCV
2008
188views more  IJCV 2008»
15 years 3 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin
CVPR
1999
IEEE
16 years 5 months ago
A Multiple Hypothesis Approach to Figure Tracking
This paper describes a probabilistic multiple-hypothesis framework for tracking highly articulated objects. In this framework, the probability density of the tracker state is repr...
Tat-Jen Cham, James M. Rehg
159
Voted
BIBM
2007
IEEE
162views Bioinformatics» more  BIBM 2007»
15 years 10 months ago
Multiple Interacting Subcellular Structure Tracking by Sequential Monte Carlo Method
With the wide application of green fluorescent protein (GFP) in the study of live cells, there is a surging need for the computer-aided analysis on the huge amount of image seque...
Quan Wen, Jean Gao, Kate Luby-Phelps
128
Voted
ECCV
2008
Springer
16 years 5 months ago
Multiple Component Learning for Object Detection
Abstract. Object detection is one of the key problems in computer vision. In the last decade, discriminative learning approaches have proven effective in detecting rigid objects, a...
Boris Babenko, Pietro Perona, Piotr Dollár,...