A robust visual object tracking approach on a mobile device

Abdulmalik Danlami Mohammed, Tim Morris

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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 languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.
    PublisherSpringer Nature
    Pages190-198
    Number of pages8
    Volume8407
    DOIs
    Publication statusPublished - 2014
    Event2nd IFIP TC5/8 International Conference on Information and Communication Technology, ICT-EurAsia 2014 - Bali
    Duration: 1 Jul 2014 → …

    Other

    Other2nd IFIP TC5/8 International Conference on Information and Communication Technology, ICT-EurAsia 2014
    CityBali
    Period1/07/14 → …

    Keywords

    • CAMShift Algorithm
    • Colour Space
    • Histogram Backprojection

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