Multi-target tracking based on KLD mixture particle filter with radial basis function support

Jayanth Madapura; Baoxin Li

doi:10.1109/ICASSP.2008.4517712

Multi-target tracking based on KLD mixture particle filter with radial basis function support

Jayanth Madapura, Baoxin Li

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

8 Scopus citations

Abstract

The two major difficulties associated with practical real time multi-target tracking are accuracy and speed. A new technique is proposed for multi-target tracking based on multi-modal particle filter with fast tracking capability and improved accuracy. The speed in tracking is achieved by a KLD sampling stage while the accuracy is improved by an additional stage that uses radial basis functions (RBF) for interpolating the sparse particles. Test results of the proposed multi-target tracking approach on both synthetic and real video data demonstrate the improved performance.

Original language	English (US)
Title of host publication	2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Pages	725-728
Number of pages	4
DOIs	https://doi.org/10.1109/ICASSP.2008.4517712
State	Published - 2008
Event	2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP - Las Vegas, NV, United States Duration: Mar 31 2008 → Apr 4 2008

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149

Other

Other	2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Country/Territory	United States
City	Las Vegas, NV
Period	3/31/08 → 4/4/08

Keywords

KLD sampling
Kullbaek-leibler divergence
Mixture particle filter
Radial basis functions

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/ICASSP.2008.4517712

Cite this

Madapura, J., & Li, B. (2008). Multi-target tracking based on KLD mixture particle filter with radial basis function support. In 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP (pp. 725-728). Article 4517712 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2008.4517712

Multi-target tracking based on KLD mixture particle filter with radial basis function support. / Madapura, Jayanth; Li, Baoxin.
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP. 2008. p. 725-728 4517712 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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

Madapura, J & Li, B 2008, Multi-target tracking based on KLD mixture particle filter with radial basis function support. in 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP., 4517712, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 725-728, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, Las Vegas, NV, United States, 3/31/08. https://doi.org/10.1109/ICASSP.2008.4517712

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AB - The two major difficulties associated with practical real time multi-target tracking are accuracy and speed. A new technique is proposed for multi-target tracking based on multi-modal particle filter with fast tracking capability and improved accuracy. The speed in tracking is achieved by a KLD sampling stage while the accuracy is improved by an additional stage that uses radial basis functions (RBF) for interpolating the sparse particles. Test results of the proposed multi-target tracking approach on both synthetic and real video data demonstrate the improved performance.

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Multi-target tracking based on KLD mixture particle filter with radial basis function support

Abstract

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Keywords

ASJC Scopus subject areas

Access to Document

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Cite this