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» Classifier Grids for Robust Adaptive Object Detection
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ICPR
2010
IEEE
14 years 8 months ago
Automatic Detection and Segmentation of Focal Liver Lesions in Contrast Enhanced CT Images
Abstract—In this paper a novel system for automatic detection and segmentation of focal liver lesions in CT images is presented. It utilizes a probabilistic boosting tree to clas...
Arne Militzer, Tobias Hager, Florian Jäger, Chris...
109
Voted
ICIP
2007
IEEE
15 years 1 months ago
Real-Time Pedestrian Detection using Eigenflow
We propose a novel learning algorithm to detect moving pedestrians from a stationary camera in real-time. The algorithm learns a discriminative model based on eigenflow, i.e. the ...
Dhiraj Goel, Tsuhan Chen
83
Voted
ICPR
2008
IEEE
15 years 4 months ago
Recognition of box-like objects by fusing cues of shape and edges
Boxes are the universal choice for packing, storage, and transportation. In this paper we propose a template-based algorithm for recognition of box-like objects, which is invarian...
Chia-Chih Chen, Jake K. Aggarwal
KI
2004
Springer
15 years 3 months ago
Adaptive Vision for Playing Table Soccer
Abstract. For real time object recognition and tracking often color-based methods are used. While these methods are very efficient, they usually dependent heavily on lighting cond...
Thilo Weigel, Dapeng Zhang 0002, Klaus Rechert, Be...
CVPR
2005
IEEE
15 years 11 months ago
Histograms of Oriented Gradients for Human Detection
We study the question of feature sets for robust visual object recognition, adopting linear SVM based human detection as a test case. After reviewing existing edge and gradient ba...
Navneet Dalal, Bill Triggs