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» A Trainable System for Object Detection
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150
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CVPR
2007
IEEE
16 years 5 months ago
Using Segmentation to Verify Object Hypotheses
We present an approach for object recognition that combines detection and segmentation within a efficient hypothesize/test framework. Scanning-window template classifiers are the ...
Deva Ramanan
130
Voted
CVPR
2006
IEEE
16 years 5 months ago
The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects
This paper addresses the problem of detecting and segmenting partially occluded objects of a known category. We first define a part labelling which densely covers the object. Our ...
John M. Winn, Jamie Shotton
AVSS
2007
IEEE
15 years 10 months ago
Experiments with patch-based object classification
We present and experiment with a patch-based algorithm for the purpose of object classification in video surveillance. A feature vector is calculated based on template matching o...
Rob G. J. Wijnhoven, Peter H. N. de With
WACV
2005
IEEE
15 years 9 months ago
Persistent Objects Tracking Across Multiple Non Overlapping Cameras
We present an approach for persistent tracking of moving objects observed by non-overlapping and moving cameras. Our approach robustly recovers the geometry of non-overlapping vie...
Jinman Kang, Isaac Cohen, Gérard G. Medioni
IPPS
2003
IEEE
15 years 9 months ago
An Implicitly Parallel Object-Oriented Matrix Library and its Application to Medical Physics
We introduce VLADYMIR, a matrix library that permits the development of array-based code in C++. It is especially useful for numerical simulation tasks and parallelises automatical...
Jonas Lätt, Bastien Chopard