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    ARTICLE

    Abnormality Identification in Video Surveillance System using DCT

    A. Balasundaram1,*, Golda Dilip2, M. Manickam3, Arun Kumar Sivaraman4, K. Gurunathan5, R. Dhanalakshmi6, S. Ashokkumar7

    Intelligent Automation & Soft Computing, Vol.32, No.2, pp. 693-704, 2022, DOI:10.32604/iasc.2022.022241 - 17 November 2021

    Abstract In the present world, video surveillance methods play a vital role in observing the activities that take place across secured and unsecured environment. The main aim with which a surveillance system is deployed is to spot abnormalities in specific areas like airport, military, forests and other remote areas, etc. A new block-based strategy is represented in this paper. This strategy is used to identify unusual circumstances by examining the pixel-wise frame movement instead of the standard object-based approaches. The density and also the speed of the movement is extorted by utilizing optical flow. The proposed More >

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