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» Learning to localize detected objects
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CVPR
2006
IEEE
14 years 12 months ago
Incremental learning of object detectors using a visual shape alphabet
We address the problem of multiclass object detection. Our aims are to enable models for new categories to benefit from the detectors built previously for other categories, and fo...
Andreas Opelt, Axel Pinz, Andrew Zisserman
PAMI
2008
189views more  PAMI 2008»
13 years 10 months ago
Detecting Objects of Variable Shape Structure With Hidden State Shape Models
This paper proposes a method for detecting object classes that exhibit variable shape structure in heavily cluttered images. The term "variable shape structure" is used t...
Jingbin Wang, Vassilis Athitsos, Stan Sclaroff, Ma...
ICASSP
2011
IEEE
13 years 1 months ago
Combining generic and class-specific codebooks for object categorization and detection
Combining advantages of shape and appearance features, we propose a novel model that integrates these two complementary features into a common framework for object categorization ...
Hong Pan, Yaping Zhu, Liang-Zheng Xia, Truong Q. N...
ICIP
2008
IEEE
14 years 11 months ago
Appearance-based object detection in colour retinal images
Extraction of anatomical structures (landmarks), such as optic disk (OD), fovea and blood vessels, from fundus images is useful in automatic diagnosis. Current approaches largely ...
Jeetinder Singh, Gopal Datt Joshi, Jayanthi Sivasw...
COMSIS
2010
13 years 6 months ago
Robust moving object detection under complex background
We present a novel method to robustly and efficiently detect moving object, even under the complexity background, such as illumination changes, long shadows etc. This work is disti...
Ding Ying, Wen-Hui Li, Jing-Tao Fan, Hua-Min Yang