@inproceedings{5f6edc7fe90a4441866cd377c64b80f2,
title = "Multi-target tracking algorithm based on FIR filters",
abstract = "This research article proposes a multi-target tracking algorithm by using a finite impulse response (FIR) filter. The advantage of the FIR filter is to observe robust filtering to incorrect data such as model uncertainty and noise, etc. This paper demonstrates robust tracking performance for multi-target tracking using the properties of FIR filter. In order to use FIR structure, all possible paths are constructed and the estimate of each path is chosen as the target through Mahalanobis distance if it is appropriate target.",
keywords = "finite impulse response (FIR) structure, multi-target tracking, state estimation",
author = "Lee, \{Chang Joo\} and Min, \{Kyung Min\} and Choi, \{Hyun Duck\} and Ahn, \{Choon Ki\} and Lim, \{Myo Taeg\}",
note = "Publisher Copyright: {\textcopyright} 2014 Institute of Control, Robotics and Systems (ICROS).; 2014 14th International Conference on Control, Automation and Systems, ICCAS 2014 ; Conference date: 22-10-2014 Through 25-10-2014",
year = "2014",
month = dec,
day = "16",
doi = "10.1109/ICCAS.2014.6987546",
language = "English",
series = "International Conference on Control, Automation and Systems",
publisher = "IEEE Computer Society",
pages = "1112--1116",
booktitle = "International Conference on Control, Automation and Systems",
}