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» Statistical Models of Appearance for Computer Vision
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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...
156
Voted
FGR
2008
IEEE
227views Biometrics» more  FGR 2008»
15 years 10 months ago
Ambient intelligence as the bridge to the future of pervasive computing
One prediction about this future of pervasive technology is that people will carry the tools needed to interface with technological resources sprinkled through out the environment...
Christopher Richard Wren, Yuri A. Ivanov
138
Voted
ICCV
2007
IEEE
16 years 5 months ago
Robust Visual Tracking Based on Incremental Tensor Subspace Learning
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
128
Voted
CVPR
2007
IEEE
16 years 5 months ago
Hybrid learning of large jigsaws
A jigsaw is a recently proposed generative model that describes an image as a composition of non-overlapping patches of varying shape, extracted from a latent image. By learning t...
Julia A. Lasserre, Anitha Kannan, John M. Winn
132
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Efficient block-division model for robust multiple object tracking
Tracking multiple objects under occlusion is one of the most challenging issues in computer vision. Occlusion results in mistaken match when finding the most similar candidate. A...
Wenhan Luo, Xiaoqin Zhang, Yang Liu, Xi Li, Weimin...