DATA ASSOCIATION ALGORITHMS FOR MULTIPLE TARGET TRACKING

Authors
  1. McMillan, J.C.
  2. Lim, S.S.
Corporate Authors
Defence Research Establishment Ottawa, Ottawa ONT (CAN);Ottawa Univ, Ottawa ONT (CAN)
Abstract
Multi-target tracking (MTT) has many applications, and has therefore been the subject of considerable investigation. One key aspect of this problem, especially in a dense target environment, is the "scan-to-scan correlation" or "tracking data association" problem of assigning measurements to tracks. Various different approaches have been proposed to solve this problem. In this report, three algorithms for MTT data association are presented for comparison. First the nearest-neighbor standard filter (NNSF) algorithm is presented. The two of the more promissing extensions are presented: the multiple hypothesis test method (MHT), and joint probabilistic data association (JPDA) method. Whenever possible the same notation is used in presenting all three methods for ease of comparison. The report is intended to serve as a prelude to a comparative investigation of these three competing data association methods.
Report Number
DREO-1040 —
Date of publication
15 Jul 1990
Number of Pages
37
DSTKIM No
91-01277
CANDIS No
68486
Format(s):
Hardcopy;Originator's fiche received by DSIS

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