TCSVT 2008 – Efficient Multi-Target Visual Tracking Using Random Finite Sets
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TCSVT 2008 – Efficient Multi-Target Visual Tracking Using Random Finite Sets

Emilio Maggio, Murtaza Taj, Andrea Cavallaro IEEE Transaction on Circuits System and Video Technology, 2008 Abstract We propose a filtering framework for multi-target tracking that is based on the Probability Hypothesis Density (PHD) filter and data association using graph matching. This framework can be combined with any object detectors that generate positional and dimensional information of…