DocumentCode :
261004
Title :
Integrated particle filter for target tracking
Author :
Radosavljevic, Zvonko ; Musicki, Darko ; Kovacevic, B. ; Woo Chan Kim ; Taek Lyul Song
Author_Institution :
Sch. of Electr. Eng., Univ. of Belgrade, Belgrade, Serbia
fYear :
2014
fDate :
15-18 Jan. 2014
Firstpage :
1
Lastpage :
2
Abstract :
Tracking in cluttered environments requires false track discrimination and data association. We extend the particle filter approach to include the data association probabilities and recursively calculate the probability of target existence. The probability of target existence may be used to discriminate false tracks.
Keywords :
particle filtering (numerical methods); probability; sensor fusion; target tracking; cluttered environments; data association probabilities; false track discrimination; integrated particle filter; target probability; target tracking; Atmospheric measurements; Clutter; Noise measurement; Particle measurements; Radar tracking; Target tracking; Trajectory; Data Association; Particle Filter; Target Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Information and Communications (ICEIC), 2014 International Conference on
Conference_Location :
Kota Kinabalu
Type :
conf
DOI :
10.1109/ELINFOCOM.2014.6914426
Filename :
6914426
Link To Document :
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