Spectral multiscale coverage with the feature aided CPHD tracker

Ramona Georgescu, Shuo Zhang, Amit Surana, Alberto Speranzon, Ozgur Erdinc
2014 2014 48th Asilomar Conference on Signals, Systems and Computers  
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.
doi:10.1109/acssc.2014.7094583 dblp:conf/acssc/GeorgescuZSSE14 fatcat:ubfcs4zh4zhjjl3ndgzcqeylpm