Title :
Spectral multiscale coverage with the feature aided CPHD tracker
Author :
Georgescu, Ramona ; Zhang, Shuo ; Surana, Amit ; Speranzon, Alberto ; Erdinc, Ozgur
Author_Institution :
United Technol. Res. Center, East Hartford, CT, USA
Abstract :
A closed loop approach for surveillance was developed leveraging the Spectral Multiscale Coverage (SMC) algorithm for sensor management coupled with the Cardinalized Probability Hypothesis Density (CPHD) multitarget tracker. Additionally, the CPHD was formulated such that it is able to ingest features, if available. Simulations with fixed and mobile sensors (the latter, tasked by the SMC) providing data to the tracker underlined the benefits of sensor fusion with respect to standard metrics of performance.
Keywords :
probability; sensor fusion; spectral analysis; surveillance; target tracking; SMC algorithm; cardinalized probability hypothesis density; closed loop approach; feature aided CPHD multitarget tracker; mobile sensor; sensor fusion; sensor management; spectral multiscale coverage; spectral multiscale coverage algorithm; surveillance; Mobile communication; Noise measurement; Radar tracking; Robot sensing systems; Target tracking; CPHD; SMC; multitarget tracking; sensor fusion; surveillance;
Conference_Titel :
Signals, Systems and Computers, 2014 48th Asilomar Conference on
Print_ISBN :
978-1-4799-8295-0
DOI :
10.1109/ACSSC.2014.7094583
