Title :
A method for peak extraction in PHD particle filter
Author :
Sun, Xiaoshu ; Shurong Tian
Author_Institution :
Dept. of Sci. Res., Naval Aeronaut. & Astronaut. Univ., Yantai, China
Abstract :
In Probability Hypothesis Density (PHD) particle filter for tracking multiple targets, a new peak extraction method was studied. Firstly, we draw the largest weight particle, when the sum of all particle weights in its neighborhood is larger than target weight, the particle is considered as a peak. Then, we do the same steps for other particles, till we find all N peaks. Experiments show that in the same conditions, the new algorithm can extract peaks more correctly than Expectation Maximization (EM), especially for contiguous targets.
Keywords :
particle filtering (numerical methods); target tracking; PHD particle filter; expectation maximization; multiple target tracking; peak extraction; probability hypothesis density; Bayesian methods; Mathematics; Monte Carlo methods; Particle filters; Particle tracking; Sliding mode control; Sun; Target tracking; Uncertainty; PHD filter; partical filter; peak extraction; target tracking;
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
DOI :
10.1109/ICIME.2010.5478223