Safdar Khan1, Muhammad Attique Khan2, Jamal Hussain Shah1,*, Faheem Shehzad2, Taerang Kim3, Jae-Hyuk Cha3
Computer Systems Science and Engineering, Vol.47, No.2, pp. 2337-2360, 2023, DOI:10.32604/csse.2023.040410
Abstract Human Suspicious Activity Recognition (HSAR) is a critical and
active research area in computer vision that relies on artificial intelligence
reasoning. Significant advances have been made in this field recently due
to important applications such as video surveillance. In video surveillance,
humans are monitored through video cameras when doing suspicious activities such as kidnapping, fighting, snatching, and a few more. Although
numerous techniques have been introduced in the literature for routine human
actions (HAR), very few studies are available for HSAR. This study proposes a deep convolutional neural network (CNN) and optimal featuresbased framework for… More >
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