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Condensation Algorithm for Visual Tracking by Josie Yave Guzmán is a document available to read on EtoBox.

What is Condensation Algorithm for Visual Tracking about?

The document describes the Condensation algorithm for visual tracking of curves moving through clutter. It begins by discussing the challenges of tracking in clutter, where traditional Kalman filtering is inadequate due to multi-modal densities. It then outlines probabilistic models for shape, motion, and observations. The key idea of Condensation is to represent the state density as a set of random samples and propagate these over time using learned dynamical models and observations, allowing multi-modal d

Author
Josie Yave Guzmán
Language
EN

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