DocumentCode
2957187
Title
Tracking multiple objects using modified track-observation assignment weight approach for data association
Author
Mohammad, D. ; Hussain, Amir
Author_Institution
Dept. of Comput. Sci. & Eng., Aalborg Univ. Esbjerg, Denmark
fYear
2003
fDate
8-9 Dec. 2003
Firstpage
327
Lastpage
333
Abstract
The problem of tracking multiple targets from noisy observation data using a modified track splitting algorithm for data assignment has been discussed In this work. Simulation studies have shown the relative improvement in performance for the selection of hypotheses from all the possible assignments generated during the current scan, using the proposed modified track splitting algorithm compared with a standard version of this algorithm.
Keywords
Kalman filters; identification; target tracking; data assignment; data association; hypothesis selection; modified track splitting algorithm; modified track-observation assignment weight; multiple target tracking; noisy observation data; Computer science; Data engineering; Filters; Performance evaluation; Q measurement; Radar tracking; Stochastic processes; Target tracking; Vectors; World Wide Web;
fLanguage
English
Publisher
ieee
Conference_Titel
Multi Topic Conference, 2003. INMIC 2003. 7th International
Print_ISBN
0-7803-8183-1
Type
conf
DOI
10.1109/INMIC.2003.1416743
Filename
1416743
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