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» Object Detection using Background Context
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ICPR
2004
IEEE
14 years 4 months ago
Object Detection using Background Context
Detection of objects is in general a computationally demanding task. To simplify the problem it is of interest to utilize contextual information and perform a staggered recognitio...
Ola Ramström, Henrik I. Christensen
ICIP
2007
IEEE
14 years 5 months ago
A Variational Approach to Exploit Prior Information in Object-Background Segregation: Application to Retinal Images
One of the main challenges in image segmentation is to adapt prior knowledge about the objects/regions that are likely to be present in an image, in order to obtain more precise d...
Luca Bertelli, Jiyun Byun, B. S. Manjunath
ICIP
2008
IEEE
13 years 10 months ago
A fuzzy approach for background subtraction
Background Subtraction is a widely used approach to detect moving objects from static cameras. Many different methods have been proposed over the recent years and can be classifi...
Fida El Baf, Thierry Bouwmans, Bertrand Vachon
CVPR
2012
IEEE
11 years 6 months ago
Adaptive object tracking by learning background context
One challenge when tracking objects is to adapt the object representation depending on the scene context to account for changes in illumination, coloring, scaling, etc. Here, we p...
Ali Borji, Simone Frintrop, Dicky N. Sihite, Laure...
ECCV
2008
Springer
14 years 5 months ago
Contour Context Selection for Object Detection: A Set-to-Set Contour Matching Approach
Abstract. We introduce a shape detection framework called Contour Context Selection for detecting objects in cluttered images using only one exemplar. Shape based detection is inva...
Qihui Zhu, Liming Wang, Yang Wu, Jianbo Shi