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» On Comparing Two Scenarios for Probabilistic Image Modelling
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ICPR
2010
IEEE
13 years 11 months ago
Recognition and Prediction of Situations in Urban Traffic Scenarios
The recognition and prediction of intersection situations and an accompanying threat assessment are an indispensable skill of future driver assistance systems. This study focuses o...
Eugen Käfer, Christoph Hermes, Christian Wöhler,...
CVPR
2010
IEEE
14 years 1 months ago
Learning Appearance in Virtual Scenarios for Pedestrian Detection
Detecting pedestrians in images is a key functionality to avoid vehicle-to-pedestrian collisions. The most promising detectors rely on appearance-based pedestrian classifiers tra...
Francisco Marin Tur, David Vazquez, David Geronimo...
CVPR
1998
IEEE
14 years 10 months ago
Comparing Images under Variable Illumination
We consider the problem of determining whether two images come from different objects or the same object in the same pose, but under different illumination conditions. We show tha...
David W. Jacobs, Peter N. Belhumeur, Ronen Basri
SCIA
2005
Springer
186views Image Analysis» more  SCIA 2005»
14 years 1 months ago
Levelset and B-Spline Deformable Model Techniques for Image Segmentation: A Pragmatic Comparative Study
Deformable contours are now widely used in image segmentation, using different models, criteria and numeric schemes. Some theoretical comparisons between few deformable model met...
Diane Lingrand, Johan Montagnat
CVPR
2004
IEEE
14 years 10 months ago
Gibbs Likelihoods for Bayesian Tracking
Bayesian methods for visual tracking model the likelihood of image measurements conditioned on a tracking hypothesis. Image measurements may, for example, correspond to various fi...
Stefan Roth, Leonid Sigal, Michael J. Black