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» Surrogate data: A novel approach to object detection
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MICCAI
2007
Springer
16 years 2 months ago
Object Localization Based on Markov Random Fields and Symmetry Interest Points
We present an approach to detect anatomical structures by configurations of interest points, from a single example image. The representation of the configuration is based on Markov...
Branislav Micusík, Georg Langs, Horst Bisch...
ICCV
2009
IEEE
16 years 7 months ago
Shape Guided Contour Grouping with Particle Filters
We propose a novel framework for contour based object detection and recognition, which we formulate as a joint contour fragment grouping and labeling problem. For a given set of...
ChengEn Lu, Longin Jan Latecki, Nagesh Adluru, Hai...
ICIP
2005
IEEE
16 years 3 months ago
Pedestrian classification from moving platforms using cyclic motion pattern
This paper describes an efficient pedestrian detection system for videos acquired from moving platforms. Given a detected and tracked object as a sequence of images within a bound...
Yang Ran, Qinfen Zheng, Isaac Weiss, Larry S. Davi...
ICASSP
2011
IEEE
14 years 5 months ago
Automatic diagnosis of ADHD based on nonlinear analysis of actimetry registries
Attention-Deficit Hyperactivity Disorder (ADHD) is the most common mental health problem in childhood and adolescence. Its diagnosis is commonly performed in a subjective manner ...
Diego Martin, Pablo Casaseca, Susana Alberola, Jos...
CVPR
2006
IEEE
16 years 4 months ago
On-line Boosting and Vision
Boosting has become very popular in computer vision, showing impressive performance in detection and recognition tasks. Mainly off-line training methods have been used, which impl...
Helmut Grabner, Horst Bischof