A Hybrid Graphical Model for Robust Feature Extraction from Video

Authors:
A. Taylan Cemgil;Wojciech Zajdel;Ben J. A. Krose
Affiliations:
University of Amsterdam;University of Amsterdam;University of Amsterdam
Venue:
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Year:
2005

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Abstract

We consider a visual scene analysis scenario where objects e.g., people, cars) pass through the viewingfield of a static camera and need to be detected and segmented from the background. For this purpose, we introduce a hybrid dynamic Bayesian network and derive an Expectation propagation (EP)algorithmfor robust estimation of object shapes and appearance statistics. We demonstrate the viability of the approximation on an object detection taskfrom real videos, where objectsý smooth shapes are segmented from the background. The model is readily extendible to multi-object multi-camera scenarios and can be coupled in a transparent and consistentway with a hierarchical model for object identification under uncertainty.