Importance of resolution in multiple-target tracking

6 July 1994

proceedings article
Published by SPIE-Intl Soc Optical Eng

p. 329-338
https://doi.org/10.1117/12.179063

Abstract

Sensor resolution is crucial for the success of tracking in a dense multiple target environment. The probability of resolution (P_R) and the probability of correct data association (P_DA) are computed as a function of: (1) average object separation, (2) sensor resolution, and (3) one-sigma prediction error, for sensor measurements with dimensions n equals 1, 2, 3, ... . The values of P_R and P_DA are plotted versus the average object separation normalized by the sensor resolution, parameterized by the one-sigma prediction error, for values of n equals 1, 2, 3, ... . By inspection of these curves, it is obvious that P_R is less than P_DA for n equals 1, 2, 3, ... for any values of average object separation and sensor resolution, for almost any practical value of one-sigma prediction error of interest. This means that sensor resolution is a more important issue than data association in most practical applications. Nevertheless, 99 percent of the literature on multiple target tracking has ignored the issue of resolution.

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