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138
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ICIP
2003
IEEE
15 years 9 months ago
A SR-based radon transform to extract weak lines from noise images
The Radon transform is able to transform two dimensional images with lines into a space of line parameters, where each line in the image will give a peak positioned at the corresp...
Qinghua Ye, Haining Huang, Xinyi He, Chimhua Zhang
142
Voted
ICPR
2010
IEEE
15 years 5 months ago
Human-Area Segmentation by Selecting Similar Silhouette Images Based on Weak-Classifier Response
Human-area segmentation is a major issue in video surveillance. Many existing methods estimate individual human areas from the foreground area obtained by background subtraction, ...
Hiroaki Ando, Hironobu Fujiyoshi
ICASSP
2011
IEEE
14 years 7 months ago
Extended array method for detection and direction finding of a weak linear frequency modulated signal
A well known computationally efficient method for parameters estimation of linear frequency modulated (LFM) signals is to mix the received signals with a shifted version of itsel...
Songsri Sirianunpiboon
155
Voted
ECCV
2004
Springer
16 years 5 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
154
Voted
ECCV
2006
Springer
16 years 5 months ago
Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...
David J. Crandall, Daniel P. Huttenlocher