Robust online appearance models for visual tracking
- 25 August 2005
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 415-422
- https://doi.org/10.1109/cvpr.2001.990505
Abstract
We propose a framework for learning robust, adaptive,appearance models to be used for motion-based tracking ofnatural objects. The approach involves a mixture of stableimage structure, learned over long time courses, along with2-frame motion information and an outlier process. An onlineEM-algorithm is used to adapt the appearance modelparameters over time. An implementation of this approachis developed for an appearance model based on the filterresponses from a steerable pyramid. This...Keywords
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