A robust visual object tracking approach on a mobile device

Abdulmalik Danlami Mohammed; Tim Morris

doi:10.1007/978-3-642-55032-4-19

A robust visual object tracking approach on a mobile device

Abdulmalik Danlami Mohammed, Tim Morris

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

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Abstract

In this paper, we present an approach for tracking an object in video captured on a mobile device. We use a colour-based approach. The performance of many of these approaches degrades due to lighting changes and occlusion. To address the issue of lightning changes, our approach makes use of colour histogram that is generated by accumulating histograms derived from target objects imaged under different conditions. A CAMShift tracking algorithm is applied to the back-projected image to track the target object. We have tested our approach by tracking an Emergency Exit sign and the results obtained show that the tracking is robust against lightning changes. © 2014 IFIP International Federation for Information Processing.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)\|Lect. Notes Comput. Sci.
Publisher	Springer Nature
Pages	190-198
Number of pages	8
Volume	8407
DOIs	https://doi.org/10.1007/978-3-642-55032-4-19
Publication status	Published - 2014
Event	2nd IFIP TC5/8 International Conference on Information and Communication Technology, ICT-EurAsia 2014 - Bali Duration: 1 Jul 2014 → …

Other

Other	2nd IFIP TC5/8 International Conference on Information and Communication Technology, ICT-EurAsia 2014
City	Bali
Period	1/07/14 → …

Keywords

CAMShift Algorithm
Colour Space
Histogram Backprojection

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10.1007/978-3-642-55032-4-19

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abstract = "In this paper, we present an approach for tracking an object in video captured on a mobile device. We use a colour-based approach. The performance of many of these approaches degrades due to lighting changes and occlusion. To address the issue of lightning changes, our approach makes use of colour histogram that is generated by accumulating histograms derived from target objects imaged under different conditions. A CAMShift tracking algorithm is applied to the back-projected image to track the target object. We have tested our approach by tracking an Emergency Exit sign and the results obtained show that the tracking is robust against lightning changes. {\textcopyright} 2014 IFIP International Federation for Information Processing.",

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Mohammed, AD & Morris, T 2014, A robust visual object tracking approach on a mobile device. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. vol. 8407, Springer Nature, pp. 190-198, 2nd IFIP TC5/8 International Conference on Information and Communication Technology, ICT-EurAsia 2014, Bali, 1/07/14. https://doi.org/10.1007/978-3-642-55032-4-19

A robust visual object tracking approach on a mobile device. / Mohammed, Abdulmalik Danlami; Morris, Tim.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. Vol. 8407 Springer Nature, 2014. p. 190-198.

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

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A robust visual object tracking approach on a mobile device

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