@inproceedings{7463934aec70451bbc1bd1d2161fb431,
title = "A robust visual object tracking approach on a mobile device",
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.",
keywords = "CAMShift Algorithm, Colour Space, Histogram Backprojection",
author = "Mohammed, \{Abdulmalik Danlami\} and Tim Morris",
year = "2014",
doi = "10.1007/978-3-642-55032-4\_19",
language = "English",
isbn = "9783642550317",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "190--198",
booktitle = "Information and Communication Technology - Second IFIP TC5/8 International Conference, ICT-EurAsia 2014, Proceedings",
address = "Germany",
note = "2nd IFIP TC5/8 International Conference on Information and Communication Technology, ICT-EurAsia 2014 ; Conference date: 14-04-2014 Through 17-04-2014",
}