205 search results - page 19 / 41 » A Dynamic Conditional Random Field Model for Object Segmenta... |
108
Voted
CVPR
2005
IEEE
15 years 8 months ago
2005
IEEE
This work presents a real-time system for multiple objects tracking in dynamic scenes. A unique characteristic of the system is its ability to cope with longduration and complete ...
145
Voted
CVIU
2006
15 years 2 months ago
2006
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...
127
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CVPR
2008
IEEE
16 years 4 months ago
2008
IEEE
The notion of using context information for solving highlevel vision problems has been increasingly realized in the field. However, how to learn an effective and efficient context...
122
Voted
CVPR
1998
IEEE
16 years 4 months ago
1998
IEEE
Stereo sequences promise to be a powerful method for segmenting images for applications such as tracking human figures. We present a method of statistical background modeling for ...
119
Voted
PAMI
2010
15 years 28 days ago
2010
—We propose a unified graphical model that can represent both the causal and noncausal relationships among random variables and apply it to the image segmentation problem. Specif...