Object Tracking Framework for Unmanned Aerial Vehicles

Ahmed Dirir, Hesham Elsayed

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Citations (Scopus)


    Object tracking is a computer vision problem that gained attention in the past few decades. Numerous algorithms targeting various challenges associated with object tracking have been proposed to address issues related to multiple objects tracking, handling complex scenarios like fog and occlusions, and other subproblems within the object tracking area. On the other hand, the extensive use of Unmanned Aerial Vehicles (UAVs) or Drones is increasing exponentially all around the world for a variety of applications. Object tracking using drones has an enormous number of applications, especially in smart transportation system. In this paper, we present a lightweight infrastructure-less object tracking system and assess its performance using the VICON motion capture system. The performance results obtained was very close to that of the optimal infrastructure-based solution.

    Original languageEnglish
    Title of host publication2019 IEEE Global Conference on Internet of Things, GCIoT 2019
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781728148731
    Publication statusPublished - Nov 2019
    Event2019 IEEE Global Conference on Internet of Things, GCIoT 2019 - Dubai, United Arab Emirates
    Duration: Dec 4 2019Dec 7 2019

    Publication series

    Name2019 IEEE Global Conference on Internet of Things, GCIoT 2019


    Conference2019 IEEE Global Conference on Internet of Things, GCIoT 2019
    Country/TerritoryUnited Arab Emirates


    • Cloud computing
    • Clustering
    • Energy consumption
    • Mobile communication
    • Security
    • Sensor networks

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Computer Science Applications
    • Hardware and Architecture
    • Safety, Risk, Reliability and Quality


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