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ICCV
2001
IEEE
14 years 9 months ago
Statistical Context Priming for Object Detection
There is general consensus that context can be a rich source of information about an object's identity, location and scale. However, the issue of how to formalize contextual ...
Antonio B. Torralba, Pawan Sinha
ICPR
2000
IEEE
13 years 11 months ago
A Bayesian Approach to Object Identification in Pattern Recognition
We present a new Bayesian approach to object identification: variants. By object identification we mean the detection of the member (regular variant) of a given statistical popula...
Gunter Ritter, María Teresa Gallegos
WSCG
2003
142views more  WSCG 2003»
13 years 8 months ago
Three-Dimensional Object Recognition: Statistical Approach
The design of a general purpose artificial vision system capable of recognizing arbitrarily complex threedimensional objects without human intervention is still a challenging task...
R. Abdul Salam, M. A. Rodrigues
CVPR
2005
IEEE
14 years 9 months ago
A Statistical Field Model for Pedestrian Detection
This paper presents a new statistical model for detecting and tracking deformable objects such as pedestrians, where large shape variations induced by local shape deformation can ...
Ying Wu, Ting Yu, Gang Hua
ICPR
2008
IEEE
14 years 8 months ago
Semantic grouping of visual features
Many current object class models build on visual parts that constitute an object. However, visually different entities may actually refer to the same object part. This may be harm...
Alexandra Teynor, Hans Burkhardt