A particle filtering approach to constrained motion estimation in tracking multiple targets

I. Kyriakides; Darryl Morrell; Antonia Papandreou-Suppappola

A particle filtering approach to constrained motion estimation in tracking multiple targets

I. Kyriakides, Darryl Morrell, Antonia Papandreou-Suppappola

Electrical Engineering

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

12 Scopus citations

Abstract

Particle filtering has been successfully used in complex target tracking applications such as multiple target tracking. The particle filter can be used to incorporate constraints on target motion to improve tracking performance; this can be achieved using likelihood functions and sampling distributions. In this paper, we propose the constraint likelihood function independent partitions (CLIP) algorithm that uses constraints on target motion. This is achieved by incorporating a constraint likelihood function with the particle weights. As demonstrated by our simulations, a higher increase in tracking performance is obtained with our proposed constrained motion proposal (COMP) algorithm that incorporates target kinematic constraint information directly into the proposal density of the particle filter.

Original language	English (US)
Title of host publication	Conference Record of The Thirty-Ninth Asilomar Conference on Signals, Systems and Computers
Pages	94-98
Number of pages	5
State	Published - Dec 1 2005
Event	39th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States Duration: Oct 28 2005 → Nov 1 2005

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
Volume	2005
ISSN (Print)	1058-6393

Other

Other	39th Asilomar Conference on Signals, Systems and Computers
Country/Territory	United States
City	Pacific Grove, CA
Period	10/28/05 → 11/1/05

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

Cite this

A particle filtering approach to constrained motion estimation in tracking multiple targets. / Kyriakides, I.; Morrell, Darryl ; Papandreou-Suppappola, Antonia.
Conference Record of The Thirty-Ninth Asilomar Conference on Signals, Systems and Computers. 2005. p. 94-98 1599709 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2005).

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

Kyriakides, I, Morrell, D & Papandreou-Suppappola, A 2005, A particle filtering approach to constrained motion estimation in tracking multiple targets. in Conference Record of The Thirty-Ninth Asilomar Conference on Signals, Systems and Computers., 1599709, Conference Record - Asilomar Conference on Signals, Systems and Computers, vol. 2005, pp. 94-98, 39th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, United States, 10/28/05.

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A particle filtering approach to constrained motion estimation in tracking multiple targets

Abstract

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ASJC Scopus subject areas

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