DocumentCode
2557347
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
fYear
2010
fDate
16-18 April 2010
Firstpage
575
Lastpage
577
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICIME.2010.5478223
Filename
5478223
Link To Document