DocumentCode :
2105975
Title :
Fuzzy Particle Filter Used for Tracking of Leukocytes
Author :
Zhenjiang Cai ; Zongli Lin
Author_Institution :
Shool of Mech. & Electr. Eng., Agric. Univ. of Hebei, Baoding
fYear :
2008
fDate :
21-22 Dec. 2008
Firstpage :
562
Lastpage :
565
Abstract :
The particle filter is widely used in many non-linear systems. Target tracking is an important applying area for particle filter. The paper first introduced particle filter. In order to improve the tracking efficiency and tracking accuracy , fuzzy logic operation is introduced to calculate the number of the particle filter. So the particle numbers are changed dynamically according to the fuzzy logic operation result. This method was used for tracking of leukocytes. The results show that the fuzzy logic particle filter is more efficiency than normal particle filter.
Keywords :
blood; cellular biophysics; fuzzy set theory; medical signal processing; nonlinear systems; particle filtering (numerical methods); target tracking; fuzzy logic operation; fuzzy particle filter; leukocytes tracking; target tracking; Adaptive filters; Agricultural engineering; Fuzzy logic; Fuzzy systems; Information technology; Particle filters; Particle tracking; Target tracking; Time measurement; White blood cells; Leukocyte tracking; fuzzy; particle filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3505-0
Type :
conf
DOI :
10.1109/IITA.Workshops.2008.205
Filename :
4732001
Link To Document :
بازگشت