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172
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CVPR
2009
IEEE
1413views Computer Vision» more  CVPR 2009»
16 years 10 months ago
Learning Semantic Scene Models by Object Classification and Trajectory Clustering
The visual surveillance task is to monitor the activity of objects in a scene. In far-field settings (i.e., wide outdoor areas), the majority of visible activities are objects movi...
Hanqing Lu, Stan Z. Li, Tianzhu Zhang
144
Voted
CVPR
2008
IEEE
16 years 5 months ago
Real-time pose estimation of articulated objects using low-level motion
We present a method that is capable of tracking and estimating pose of articulated objects in real-time. This is achieved by using a bottom-up approach to detect instances of the ...
Ben Daubney, David P. Gibson, Neill W. Campbell
139
Voted
ICCV
2007
IEEE
16 years 5 months ago
A Divide-and-Conquer Approach to 3D Object Reconstruction from Line Drawings
3D object reconstruction from a single 2D line drawing is an important problem in both computer vision and graphics. Many methods have been put forward to solve this problem, but ...
Yu Chen, Jianzhuang Liu, Xiaoou Tang
143
Voted
ICIP
2007
IEEE
16 years 5 months ago
Object Recognition Based on Dependent Pachinko Allocation Model
Recently the "bag of words" model becomes popular in the approaches to object recognition. These approaches model an image as a collection of local patches called "...
Yuanning Li, Weiqiang Wang, Wen Gao
145
Voted
ISBI
2006
IEEE
16 years 4 months ago
Group mean differences of voxel and surface objects via nonlinear averaging
Building of atlases representing average and variability of a population of images or of segmented objects is a key topic in application areas like brain mapping, deformable objec...
Shun Xu, Martin Andreas Styner, Brad Davis, Sarang...