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» Learning to localize detected objects
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ICDAR
2009
IEEE
15 years 10 months ago
Text Detection and Localization in Complex Scene Images using Constrained AdaBoost Algorithm
We have proposed a complete system for text detection and localization in gray scale scene images. A boosting framework integrating feature and weak classifier selection based on...
Shehzad Muhammad Hanif, Lionel Prevost
ICPR
2006
IEEE
16 years 4 months ago
Generic Detection of Multi-Part Objects
A method is proposed to detect multi-part man-made or natural objects in complex images. It consists in first extracting simple curves and straight lines from the edge map. Then, ...
Jean-Francois Bernier, Robert Bergevin
CRV
2006
IEEE
114views Robotics» more  CRV 2006»
15 years 9 months ago
Generic Detection of Multi-Part Objects by High-Level Analysis
A method is proposed to detect multi-part man-made or natural objects in complex images. It consists in first extracting simple curves and straight lines from the edge map. Then,...
Jean-Francois Bernier, Robert Bergevin
ICASSP
2010
IEEE
15 years 3 months ago
Detecting local semantic concepts in environmental sounds using Markov model based clustering
Detecting the time of occurrence of an acoustic event (for instance, a cheer) embedded in a longer soundtrack is useful and important for applications such as search and retrieval...
Keansub Lee, Daniel P. W. Ellis, Alexander C. Loui
ICASSP
2011
IEEE
14 years 6 months ago
Abnormal motion detection in crowded scenes using local spatio-temporal analysis
We present a motion classification approach to detect movements of interest (abnormal motion) based on local feature modeling within spatio-temporal detectors. The modeling is pe...
Fahad Daniyal, Andrea Cavallaro