A Robust Visual Object Tracking Approach On a Mobile Phone

Abdulmalik Mohammed; David Morris; Gerhard Goos; Juris Hartmanis; Jan van Leeuwen

A Robust Visual Object Tracking Approach On a Mobile Phone

Abdulmalik Mohammed, David Morris, Gerhard Goos (Editor), Juris Hartmanis (Editor), Jan van Leeuwen (Editor)

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Abstract

In this paper, we present an approach for tracking an object in videocaptured on a mobile device. We use a colour-based approach. The performanceof many of these approaches degrades due to lighting changes and occlusion.To address the issue of lightning changes, our approach makes use of colourhistogram that is generated by accumulating histograms derived from targetobjects imaged under different conditions. A CAMShift tracking algorithm isapplied to the back-projected image to track the target object.We have tested our approach by tracking an Emergency Exit sign and theresults obtained show that the tracking is robust against lightning changes.

Original language	English
Title of host publication	host publication
Publisher	Springer Nature
Number of pages	9
Publication status	Published - Apr 2014
Event	ICT-EURASIA 2014 - University Udayana, Bali Indonesia Duration: 14 Apr 2014 → 17 Apr 2014

Conference

Conference	ICT-EURASIA 2014
City	University Udayana, Bali Indonesia
Period	14/04/14 → 17/04/14

Keywords

CAMShift Algorithm
Histogram Backprojection
Colour Space.

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@inproceedings{1475b483bf504e90b5e46840e4556dd0,

title = "A Robust Visual Object Tracking Approach On a Mobile Phone",

abstract = "In this paper, we present an approach for tracking an object in videocaptured on a mobile device. We use a colour-based approach. The performanceof many of these approaches degrades due to lighting changes and occlusion.To address the issue of lightning changes, our approach makes use of colourhistogram that is generated by accumulating histograms derived from targetobjects imaged under different conditions. A CAMShift tracking algorithm isapplied to the back-projected image to track the target object.We have tested our approach by tracking an Emergency Exit sign and theresults obtained show that the tracking is robust against lightning changes.",

keywords = "CAMShift Algorithm, Histogram Backprojection, Colour Space.",

author = "Abdulmalik Mohammed and David Morris and Gerhard Goos and Juris Hartmanis and {van Leeuwen}, Jan",

year = "2014",

month = apr,

language = "English",

booktitle = "host publication",

publisher = "Springer Nature",

address = "United States",

note = "ICT-EURASIA 2014 ; Conference date: 14-04-2014 Through 17-04-2014",

}

TY - GEN

T1 - A Robust Visual Object Tracking Approach On a Mobile Phone

AU - Mohammed, Abdulmalik

AU - Morris, David

A2 - Goos, Gerhard

A2 - Hartmanis, Juris

A2 - van Leeuwen, Jan

PY - 2014/4

Y1 - 2014/4

N2 - In this paper, we present an approach for tracking an object in videocaptured on a mobile device. We use a colour-based approach. The performanceof many of these approaches degrades due to lighting changes and occlusion.To address the issue of lightning changes, our approach makes use of colourhistogram that is generated by accumulating histograms derived from targetobjects imaged under different conditions. A CAMShift tracking algorithm isapplied to the back-projected image to track the target object.We have tested our approach by tracking an Emergency Exit sign and theresults obtained show that the tracking is robust against lightning changes.

AB - In this paper, we present an approach for tracking an object in videocaptured on a mobile device. We use a colour-based approach. The performanceof many of these approaches degrades due to lighting changes and occlusion.To address the issue of lightning changes, our approach makes use of colourhistogram that is generated by accumulating histograms derived from targetobjects imaged under different conditions. A CAMShift tracking algorithm isapplied to the back-projected image to track the target object.We have tested our approach by tracking an Emergency Exit sign and theresults obtained show that the tracking is robust against lightning changes.

KW - CAMShift Algorithm

KW - Histogram Backprojection

KW - Colour Space.

M3 - Conference contribution

BT - host publication

PB - Springer Nature

T2 - ICT-EURASIA 2014

Y2 - 14 April 2014 through 17 April 2014

ER -

A Robust Visual Object Tracking Approach On a Mobile Phone

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Conference

Keywords

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