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
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;
Conference_Titel :
Multi Topic Conference, 2003. INMIC 2003. 7th International
Print_ISBN :
0-7803-8183-1
DOI :
10.1109/INMIC.2003.1416743
