Title :
Ambiguous Measurements Multitarget Tracking with Random Sets
Author :
Tian, Shurong ; Sun, Xiaoshu ; Li, Biao
Author_Institution :
Res. Inst. of Appl. Math., Naval Aeronaut. & Astronaut. Univ., Yantai, China
Abstract :
In this paper, we represent multi-target state and ambiguous measurement as random sets, use ambiguous likelihood to fuse ambiguous data for tracking multiple targets, and we implement multi-target tracking with probability hypothesis density (PHD) particle filter. Simulations are also presented to demonstrate the performance in tracking a varying number of targets.
Keywords :
particle filtering (numerical methods); probability; random processes; sensor fusion; set theory; target tracking; ambiguous likelihood; ambiguous measurement; data fusion; multitarget tracking; particle filter; probability hypothesis density; random set; Density measurement; Extraterrestrial measurements; Filtering; Fuses; Mathematics; Particle filters; Particle measurements; Particle tracking; Statistics; Target tracking; ambiguous measurements; multitarget tracking; particle filter; probability hypothesis density;
Conference_Titel :
Computational Intelligence and Security, 2008. CIS '08. International Conference on
Conference_Location :
Suzhou
Print_ISBN :
978-0-7695-3508-1
DOI :
10.1109/CIS.2008.111
