Multiple target tracking with constrained motion using particle filtering methods

I. Kyriakides; Darryl Morrell; Antonia Papandreou-Suppappola

doi:10.1109/CAMAP.2005.1574190

Multiple target tracking with constrained motion using particle filtering methods

I. Kyriakides, Darryl Morrell, Antonia Papandreou-Suppappola

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

In this paper, we propose the constrained motion proposal (COMP) algorithm that incorporates target kinematic constraint information into a particle filter to track multiple targets. We represent deterministic or stochastic constraints on target motion as a likelihood function that is incorporated into the particle filter proposal density. Using Monte Carlo simulations, we demonstrate that this approach improves tracking performance while reducing computational cost relative to the independent partition particle filter with and without a constraint likelihood function.

Original language	English (US)
Title of host publication	IEEE CAMSAP 2005 - First International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
Pages	85-88
Number of pages	4
DOIs	https://doi.org/10.1109/CAMAP.2005.1574190
State	Published - Dec 1 2005
Event	IEEE CAMSAP 2005 - First International Workshop on Computational Advances in Multi-Sensor Adaptive Processing - Puerto Vallarta, Mexico Duration: Dec 13 2005 → Dec 15 2005

Publication series

Name	IEEE CAMSAP 2005 - First International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
Volume	2005

Other

Other	IEEE CAMSAP 2005 - First International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
Country/Territory	Mexico
City	Puerto Vallarta
Period	12/13/05 → 12/15/05

ASJC Scopus subject areas

Engineering(all)

Access to Document

10.1109/CAMAP.2005.1574190

Cite this

Kyriakides, I., Morrell, D., & Papandreou-Suppappola, A. (2005). Multiple target tracking with constrained motion using particle filtering methods. In IEEE CAMSAP 2005 - First International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (pp. 85-88). [1574190] (IEEE CAMSAP 2005 - First International Workshop on Computational Advances in Multi-Sensor Adaptive Processing; Vol. 2005). https://doi.org/10.1109/CAMAP.2005.1574190

Multiple target tracking with constrained motion using particle filtering methods. / Kyriakides, I.; Morrell, Darryl ; Papandreou-Suppappola, Antonia.

IEEE CAMSAP 2005 - First International Workshop on Computational Advances in Multi-Sensor Adaptive Processing. 2005. p. 85-88 1574190 (IEEE CAMSAP 2005 - First International Workshop on Computational Advances in Multi-Sensor Adaptive Processing; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kyriakides, I, Morrell, D & Papandreou-Suppappola, A 2005, Multiple target tracking with constrained motion using particle filtering methods. in IEEE CAMSAP 2005 - First International Workshop on Computational Advances in Multi-Sensor Adaptive Processing., 1574190, IEEE CAMSAP 2005 - First International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, vol. 2005, pp. 85-88, IEEE CAMSAP 2005 - First International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Puerto Vallarta, Mexico, 12/13/05. https://doi.org/10.1109/CAMAP.2005.1574190

Kyriakides I, Morrell D , Papandreou-Suppappola A. Multiple target tracking with constrained motion using particle filtering methods. In IEEE CAMSAP 2005 - First International Workshop on Computational Advances in Multi-Sensor Adaptive Processing. 2005. p. 85-88. 1574190. (IEEE CAMSAP 2005 - First International Workshop on Computational Advances in Multi-Sensor Adaptive Processing). doi: 10.1109/CAMAP.2005.1574190

Kyriakides, I. ; Morrell, Darryl ; Papandreou-Suppappola, Antonia. / Multiple target tracking with constrained motion using particle filtering methods. IEEE CAMSAP 2005 - First International Workshop on Computational Advances in Multi-Sensor Adaptive Processing. 2005. pp. 85-88 (IEEE CAMSAP 2005 - First International Workshop on Computational Advances in Multi-Sensor Adaptive Processing).

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Multiple target tracking with constrained motion using particle filtering methods

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