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    ARTICLE

    HARTIV: Human Activity Recognition Using Temporal Information in Videos

    Disha Deotale1, Madhushi Verma2, P. Suresh3, Sunil Kumar Jangir4, Manjit Kaur2, Sahar Ahmed Idris5, Hammam Alshazly6,*

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3919-3938, 2022, DOI:10.32604/cmc.2022.020655 - 27 September 2021

    Abstract Nowadays, the most challenging and important problem of computer vision is to detect human activities and recognize the same with temporal information from video data. The video datasets are generated using cameras available in various devices that can be in a static or dynamic position and are referred to as untrimmed videos. Smarter monitoring is a historical necessity in which commonly occurring, regular, and out-of-the-ordinary activities can be automatically identified using intelligence systems and computer vision technology. In a long video, human activity may be present anywhere in the video. There can be a single… More >

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