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CVPR
2008
IEEE
14 years 6 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
ICPR
2006
IEEE
14 years 5 months ago
Evaluating Feature Importance for Object Classification in Visual Surveillance
Feature-based object classification, which distinguish a moving object to human or vehicle, is important in visual surveillance. In order to improve classification performance, in...
Hironobu Fujiyoshi, Masamitsu Tsuchiya
CVPR
2009
IEEE
14 years 11 months ago
Fast concurrent object localization and recognition
Object localization and classification are important problems in computer vision. However, in many applications, exhaustive search over all class labels and image locations is co...
Tom Yeh, John J. Lee, Trevor Darrell
CVPR
2007
IEEE
14 years 6 months ago
Objects in Action: An Approach for Combining Action Understanding and Object Perception
Analysis of videos of human-object interactions involves understanding human movements, locating and recognizing objects and observing the effects of human movements on those obje...
Abhinav Gupta, Larry S. Davis
FLAIRS
1998
13 years 5 months ago
Static Classification Schemes for an Object System
Instance (or object) classification in a knowledgebase managementsystem is the very same problem as view determination in an object DBMS,whereviewsare subsets of classes intension...
Ana Simonet, Michel Simonet, Cyr Gabin Bassolet, X...