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» Geodesic Object Representation and Recognition
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CVPR
2005
IEEE
14 years 10 months ago
Spatial Priors for Part-Based Recognition Using Statistical Models
We present a class of statistical models for part-based object recognition that are explicitly parameterized according to the degree of spatial structure they can represent. These...
David J. Crandall, Pedro F. Felzenszwalb, Daniel P...
IJCV
2008
223views more  IJCV 2008»
13 years 8 months ago
Robust Object Detection with Interleaved Categorization and Segmentation
This paper presents a novel method for detecting and localizing objects of a visual category in cluttered real-world scenes. Our approach considers object categorization and figure...
Bastian Leibe, Ales Leonardis, Bernt Schiele
CVPR
2010
IEEE
14 years 5 months ago
Object Detection via Boundary Structure Segmentation
We address the problem of object detection and segmentation using holistic properties of object shape. Global shape representations are highly susceptible to clutter inevitably pr...
Alexander Toshev, Ben Taskar, Kostas Daniilidis
JMLR
2008
95views more  JMLR 2008»
13 years 8 months ago
Learning Similarity with Operator-valued Large-margin Classifiers
A method is introduced to learn and represent similarity with linear operators in kernel induced Hilbert spaces. Transferring error bounds for vector valued large-margin classifie...
Andreas Maurer
IFIP12
2009
13 years 6 months ago
Behaviour Recognition using the Event Calculus
We present a system for recognising human behaviour given a symbolic representation of surveillance videos. The input of our system is a set of timestamped short-term behaviours, t...
Alexander Artikis, Georgios Paliouras