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CVPR
2004
IEEE
15 years 29 days ago
Self-Normalized Linear Tests
Making decisions based on a linear combination L of features is of course very common in pattern recognition. For distinguishing between two hypotheses or classes, the test is of ...
Sachin Gangaputra, Donald Geman
CVPR
2005
IEEE
15 years 29 days 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...
CVPR
2005
IEEE
15 years 29 days ago
Statistical Cue Integration for Foveated Wide-Field Surveillance
Reliable detection of human activity is an unsolved problem. The main is that low resolution and the unconstrained nature of realistic environments and human behaviourmakeform cue...
Simon J. D. Prince, James H. Elder, Yuqian Hou, Mi...
CVPR
2006
IEEE
15 years 29 days ago
Efficient Maximally Stable Extremal Region (MSER) Tracking
This paper introduces a tracking method for the well known local MSER (Maximally Stable Extremal Region) detector. The component tree is used as an efficient data structure, which...
Michael Donoser, Horst Bischof
CVPR
2006
IEEE
15 years 29 days ago
A Design Principle for Coarse-to-Fine Classification
Coarse-to-fine classification is an efficient way of organizing object recognition in order to accommodate a large number of possible hypotheses and to systematically exploit shar...
Sachin Gangaputra, Donald Geman