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Conditional Density Propagation Tracker (1 Dimenstional)

version 1.0.0.0 (87.3 KB) by Prakash Manandhar
Tracks parameter in clutter using Isard and Blake (1998)'s ConDensation Algorithm.

5 Downloads

Updated 04 Dec 2008

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Implementation of circular 1D tracker modeled after description in:

@ARTICLE{Isard98condensation–,
author = {Michael Isard and Andrew Blake},
title = {CONDENSATION – Conditional Density Propagation for Visual Tracking},
journal = {International Journal of Computer Vision},
year = {1998},
volume = {29},
pages = {5--28}
}

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Dynamic model is autoregressive 1 (AR1) and noise model is Poisson.

Comments and Ratings (2)

Thanks for this great work, I have just one question, what method did use to get the best 10 estimates at each frame?

MATLAB Release Compatibility
Created with R14SP1
Compatible with any release
Platform Compatibility
Windows macOS Linux

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