Multi-target tracking algorithm based on FIR filters

Chang Joo Lee, Kyung Min Min, Hyun Duck Choi, Choon Ki Ahn, Myo Taeg Lim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationInternational Conference on Control, Automation and Systems
PublisherIEEE Computer Society
Pages1112-1116
Number of pages5
ISBN (Print)9788993215069
DOIs
Publication statusPublished - 2014 Jan 1
Event2014 14th International Conference on Control, Automation and Systems, ICCAS 2014 - Gyeonggi-do, Korea, Republic of
Duration: 2014 Oct 222014 Oct 25

Other

Other2014 14th International Conference on Control, Automation and Systems, ICCAS 2014
CountryKorea, Republic of
CityGyeonggi-do
Period14/10/2214/10/25

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Multi-target tracking algorithm based on FIR filters'. Together they form a unique fingerprint.

  • Cite this

    Lee, C. J., Min, K. M., Choi, H. D., Ahn, C. K., & Lim, M. T. (2014). Multi-target tracking algorithm based on FIR filters. In International Conference on Control, Automation and Systems (pp. 1112-1116). [6987546] IEEE Computer Society. https://doi.org/10.1109/ICCAS.2014.6987546