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» From Images to Shape Models for Object Detection
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ICPR
2002
IEEE
16 years 7 months ago
Interacting Multiple Model (IMM) Kalman Filters for Robust High Speed Human Motion Tracking
Accurate and robust tracking of humans is of growing interest in the image processing and computer vision communities. The ability of a vision system to track the subjects and acc...
Michael E. Farmer, Rein-Lien Hsu, Anil K. Jain
ICCV
2009
IEEE
16 years 11 months ago
Max-Margin Additive Classifiers for Detection
We present methods for training high quality object detectors very quickly. The core contribution is a pair of fast training algorithms for piece-wise linear classifiers, which ...
Subhransu Maji, Alexander C. Berg
CVPR
2008
IEEE
16 years 8 months ago
Transductive object cutout
In this paper, we address the issue of transducing the object cutout model from an example image to novel image instances. We observe that although object and background are very ...
Jingyu Cui, Qiong Yang, Fang Wen, Qiying Wu, Chang...
ECCV
2010
Springer
15 years 11 months ago
Learning to Detect Roads in High-Resolution Aerial Images
Abstract. Reliably extracting information from aerial imagery is a difficult problem with many practical applications. One specific case of this problem is the task of automatica...
PAMI
2006
188views more  PAMI 2006»
15 years 6 months ago
Recovering 3D Human Body Configurations Using Shape Contexts
The problem we consider in this paper is to take a single two-dimensional image containing a human figure, locate the joint positions, and use these to estimate the body configura...
Greg Mori, Jitendra Malik