An Efficient Multi-Object Tracking and Counting Framework Using Video Streaming in Urban Vehicular Environments

Ahmed Dirir, Mohammed Adib, Anas Mahmoud, Moatasem Al-Gunaid, Hesham El-Sayed

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

    3 Citations (Scopus)

    Abstract

    Object counting is an active research area that gained more attention in the last few years. Since deep learning methods outperformed all other object detection algorithms, the design of efficient object counting algorithms became more realistic and achievable. Numerous algorithms targeting various challenges associated with object counting have been introduced. In a smart transportation system, vehicle counting plays a crucial role as it helps in creating autonomous systems, and better planning for roads. In this paper, we present an efficient object counting system and assess its performance using a dataset of 20 different videos. The proposed system leverage an efficient object detector, and object tracker to perform the counting. This paper combines different approaches to count objects by tracking them, but performs the tracking operation efficiently. Therefore, the proposed systems achieve high accuracy values with low processing time.

    Original languageEnglish
    Title of host publicationICCSPA 2020 - 4th International Conference on Communications, Signal Processing, and their Applications
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781728165356
    DOIs
    Publication statusPublished - Mar 16 2021
    Event4th International Conference on Communications, Signal Processing, and their Applications, ICCSPA 2020 - Sharjah, United Arab Emirates
    Duration: Mar 16 2021Mar 18 2021

    Publication series

    NameICCSPA 2020 - 4th International Conference on Communications, Signal Processing, and their Applications
    Volume2021-January

    Conference

    Conference4th International Conference on Communications, Signal Processing, and their Applications, ICCSPA 2020
    Country/TerritoryUnited Arab Emirates
    CitySharjah
    Period3/16/213/18/21

    Keywords

    • Counting
    • KCF
    • Object Detection & Tracking
    • YOLOv2

    ASJC Scopus subject areas

    • Signal Processing
    • Computer Networks and Communications
    • Computer Science Applications

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