PHD Filter Multi-Target Tracking Demonstrations
Here we demonstrate some examples of tracking with Probability Hypothesis Density (PHD) filters on both simulated and real data to illustrate the ability of these algorithms to identify (detect) targets, initiate tracks and terminate them when targets leave the scene.
The number of targets varies over time and the algorithms also estimate the number of targets.
This is in the presence of clutter (false alarms), where there are many more false measurements than those generated by true targets.
The tracking videos are grouped into different sections according to the implementation or application.
Particle PHD Filter
Particle PHD filter tracking
Tracking in mm-wave imaging
This was part of the EPSRC funded ATRIUM project with consortium members QinetiQ, Department for Transport and the Police Scientific Development Branch.
The particle PHD filter is used for application
in millimetre-wave screening for weapons and explosives for public entry point security.
The aim of the project was to investigate advanced image processing algorithms for concealed threat detection for applications for this technology to be used in aviation security for counter-terrorism.
(Video courtesy of Heriot-Watt University and data from QinetiQ).
© Heriot-Watt University and the University of Melbourne