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This survey paper discusses the application of deep learning techniques for detecting abnormal human behavior in video surveillance systems, highlighting the increasing demand for security in public spaces. It categorizes existing methods into supervised, unsupervised, and partially supervised learning, detailing their advantages, disadvantages, and the challenges posed by the lack of labeled abnormal behavior data. The paper also reviews popular datasets used in research and outlines future directions for

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jaict.omgfzc

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EN