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    ARTICLE

    Dataset of Large Gathering Images for Person Identification and Tracking

    Adnan Nadeem1,*, Amir Mehmood2, Kashif Rizwan3, Muhammad Ashraf4, Nauman Qadeer3, Ali Alzahrani1, Qammer H. Abbasi5, Fazal Noor1, Majed Alhaisoni6, Nadeem Mahmood7

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 6065-6080, 2023, DOI:10.32604/cmc.2023.035012

    Abstract This paper presents a large gathering dataset of images extracted from publicly filmed videos by 24 cameras installed on the premises of Masjid Al-Nabvi, Madinah, Saudi Arabia. This dataset consists of raw and processed images reflecting a highly challenging and unconstraint environment. The methodology for building the dataset consists of four core phases; that include acquisition of videos, extraction of frames, localization of face regions, and cropping and resizing of detected face regions. The raw images in the dataset consist of a total of 4613 frames obtained from video sequences. The processed images in the dataset consist of the face… More >

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