Video object tracking using region split and merge and a Kalman filter tracking algorithm

SA Vigus; DR Bull; CN Canagarajah

doi:10.1109/ICIP.2001.959129

Video object tracking using region split and merge and a Kalman filter tracking algorithm

SA Vigus, DR Bull, CN Canagarajah

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

14 Citations (Scopus)

355 Downloads (Pure)

Abstract

This paper proposes a reliable method for tracking the trajectory of video objects using the vector Kalman predictor. Video objects, within the scope of this paper, are defined as groups of image pixels coherent spatially as well as in their values of luminance. The extent to which the quality of the unsupervised region split and merge segmentation affects the accuracy of the tracker is discussed, alongside the improvements made in the segmentation process as a result of the feedback from the tracking algorithm. The overall low complexity of the system, and the time savings made in using a spiral search algorithm, provide this method with prospects of being implemented in real-time.

Translated title of the contribution	Video object tracking using region split and merge and a Kalman Filter tracking algorithm
Original language	English
Title of host publication	IEEE Intl. Conf on Image Processing
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	650 - 653
Volume	1
ISBN (Print)	0780367251
DOIs	https://doi.org/10.1109/ICIP.2001.959129
Publication status	Published - Oct 2001
Event	International Conference on Image Processing - Thessaloniki, Greece Duration: 1 Oct 2001 → …

Conference

Conference	International Conference on Image Processing
Country/Territory	Greece
City	Thessaloniki
Period	1/10/01 → …

Bibliographical note

Other: Thessaloniki, Greece
Rose publication type: Conference contribution

Terms of use: Copyright © 2001 IEEE. Reprinted from 2001 International Conference on Image Processing, 2001.

This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org.

By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

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10.1109/ICIP.2001.959129

Vigus IEEE ICIP 2001Accepted author manuscript, 444 KB

http://hdl.handle.net/1983/1319

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title = "Video object tracking using region split and merge and a Kalman filter tracking algorithm",

abstract = "This paper proposes a reliable method for tracking the trajectory of video objects using the vector Kalman predictor. Video objects, within the scope of this paper, are defined as groups of image pixels coherent spatially as well as in their values of luminance. The extent to which the quality of the unsupervised region split and merge segmentation affects the accuracy of the tracker is discussed, alongside the improvements made in the segmentation process as a result of the feedback from the tracking algorithm. The overall low complexity of the system, and the time savings made in using a spiral search algorithm, provide this method with prospects of being implemented in real-time.",

author = "SA Vigus and DR Bull and CN Canagarajah",

note = "Other: Thessaloniki, Greece Rose publication type: Conference contribution Terms of use: Copyright {\textcopyright} 2001 IEEE. Reprinted from 2001 International Conference on Image Processing, 2001. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. ; International Conference on Image Processing ; Conference date: 01-10-2001",

year = "2001",

month = oct,

doi = "10.1109/ICIP.2001.959129",

language = "English",

isbn = "0780367251",

volume = "1",

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booktitle = "IEEE Intl. Conf on Image Processing",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

}

Vigus, SA, Bull, DR & Canagarajah, CN 2001, Video object tracking using region split and merge and a Kalman filter tracking algorithm. in IEEE Intl. Conf on Image Processing. vol. 1, Institute of Electrical and Electronics Engineers (IEEE), pp. 650 - 653, International Conference on Image Processing, Thessaloniki, Greece, 1/10/01. https://doi.org/10.1109/ICIP.2001.959129

TY - GEN

T1 - Video object tracking using region split and merge and a Kalman filter tracking algorithm

AU - Vigus, SA

AU - Bull, DR

AU - Canagarajah, CN

N1 - Other: Thessaloniki, Greece Rose publication type: Conference contribution Terms of use: Copyright © 2001 IEEE. Reprinted from 2001 International Conference on Image Processing, 2001. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

PY - 2001/10

Y1 - 2001/10

N2 - This paper proposes a reliable method for tracking the trajectory of video objects using the vector Kalman predictor. Video objects, within the scope of this paper, are defined as groups of image pixels coherent spatially as well as in their values of luminance. The extent to which the quality of the unsupervised region split and merge segmentation affects the accuracy of the tracker is discussed, alongside the improvements made in the segmentation process as a result of the feedback from the tracking algorithm. The overall low complexity of the system, and the time savings made in using a spiral search algorithm, provide this method with prospects of being implemented in real-time.

AB - This paper proposes a reliable method for tracking the trajectory of video objects using the vector Kalman predictor. Video objects, within the scope of this paper, are defined as groups of image pixels coherent spatially as well as in their values of luminance. The extent to which the quality of the unsupervised region split and merge segmentation affects the accuracy of the tracker is discussed, alongside the improvements made in the segmentation process as a result of the feedback from the tracking algorithm. The overall low complexity of the system, and the time savings made in using a spiral search algorithm, provide this method with prospects of being implemented in real-time.

U2 - 10.1109/ICIP.2001.959129

DO - 10.1109/ICIP.2001.959129

M3 - Conference Contribution (Conference Proceeding)

SN - 0780367251

VL - 1

SP - 650

EP - 653

BT - IEEE Intl. Conf on Image Processing

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - International Conference on Image Processing

Y2 - 1 October 2001

ER -

Video object tracking using region split and merge and a Kalman filter tracking algorithm

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