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Object Tracking by Particle Filtering Techniques in Video Sequences

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

Published

Standard

Object Tracking by Particle Filtering Techniques in Video Sequences. / Mihaylova, L; Brasnett, P; Canagarajah, N et al.
Advances and Challenges in Multisensor Data and Information. ed. / E. Lefebvre. Vol. 8 Netherlands: IOS Press, 2007. p. 260-268 (NATO Security Through Science Series).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

Harvard

Mihaylova, L, Brasnett, P, Canagarajah, N & Bull, D 2007, Object Tracking by Particle Filtering Techniques in Video Sequences. in E Lefebvre (ed.), Advances and Challenges in Multisensor Data and Information. vol. 8, NATO Security Through Science Series, IOS Press, Netherlands, pp. 260-268.

APA

Mihaylova, L., Brasnett, P., Canagarajah, N., & Bull, D. (2007). Object Tracking by Particle Filtering Techniques in Video Sequences. In E. Lefebvre (Ed.), Advances and Challenges in Multisensor Data and Information (Vol. 8, pp. 260-268). (NATO Security Through Science Series). IOS Press.

Vancouver

Mihaylova L, Brasnett P, Canagarajah N, Bull D. Object Tracking by Particle Filtering Techniques in Video Sequences. In Lefebvre E, editor, Advances and Challenges in Multisensor Data and Information. Vol. 8. Netherlands: IOS Press. 2007. p. 260-268. (NATO Security Through Science Series).

Author

Mihaylova, L ; Brasnett, P ; Canagarajah, N et al. / Object Tracking by Particle Filtering Techniques in Video Sequences. Advances and Challenges in Multisensor Data and Information. editor / E. Lefebvre. Vol. 8 Netherlands : IOS Press, 2007. pp. 260-268 (NATO Security Through Science Series).

Bibtex

@inbook{930fd79ce6534319b84f42e03bfe9946,
title = "Object Tracking by Particle Filtering Techniques in Video Sequences",
abstract = "Object tracking in video sequences is a challenging task and has various applications. We review particle filtering techniques for tracking single and multiple moving objects in video sequences, by using different features such as colour, shape, motion, edge and sound. Pros and cons of these algorithms are discussed along with difficulties that have to be overcome. Results of a particular particle filter with colour and texture cues are reported. Conclusions and open research issues are formulated.",
keywords = "particle filtering, sensor data fusion, tracking in video sequences, DCS-publications-id, incoll-67, DCS-publications-credits, dsp-fa, DCS-publications-personnel-id, 121",
author = "L Mihaylova and P Brasnett and N Canagarajah and D Bull",
year = "2007",
language = "English",
isbn = "978-1-58603-727-7",
volume = "8",
series = "NATO Security Through Science Series",
publisher = "IOS Press",
pages = "260--268",
editor = "E. Lefebvre",
booktitle = "Advances and Challenges in Multisensor Data and Information",

}

RIS

TY - CHAP

T1 - Object Tracking by Particle Filtering Techniques in Video Sequences

AU - Mihaylova, L

AU - Brasnett, P

AU - Canagarajah, N

AU - Bull, D

PY - 2007

Y1 - 2007

N2 - Object tracking in video sequences is a challenging task and has various applications. We review particle filtering techniques for tracking single and multiple moving objects in video sequences, by using different features such as colour, shape, motion, edge and sound. Pros and cons of these algorithms are discussed along with difficulties that have to be overcome. Results of a particular particle filter with colour and texture cues are reported. Conclusions and open research issues are formulated.

AB - Object tracking in video sequences is a challenging task and has various applications. We review particle filtering techniques for tracking single and multiple moving objects in video sequences, by using different features such as colour, shape, motion, edge and sound. Pros and cons of these algorithms are discussed along with difficulties that have to be overcome. Results of a particular particle filter with colour and texture cues are reported. Conclusions and open research issues are formulated.

KW - particle filtering

KW - sensor data fusion

KW - tracking in video sequences

KW - DCS-publications-id

KW - incoll-67

KW - DCS-publications-credits

KW - dsp-fa

KW - DCS-publications-personnel-id

KW - 121

M3 - Chapter

SN - 978-1-58603-727-7

VL - 8

T3 - NATO Security Through Science Series

SP - 260

EP - 268

BT - Advances and Challenges in Multisensor Data and Information

A2 - Lefebvre, E.

PB - IOS Press

CY - Netherlands

ER -