Identifying Human Actions Using Convolutional Neural Networks
A. K. (Abdurashidova) TurgunbaevnaTashkent University of Information Technologies named after Muhammad al-Khwarizmi , Department of Computer Systems Graduate student at Tashkent University of Information Technologies named after Muhammad al-Khwarizmi , Department of Computer Systems Chorshanbiyeva Sevinch Akramovna Undergraduate student at Tashkent University of Information Technologies named after Department of Computer SystemsA. B. (Abdukakhorov) UgliC. S. (Chorshanbiyeva) Akramovna
ABI
Abstract
Video indexing, intelligent surveillance, multimedia understanding, and other domains all make extensive use of video action recognition. Lately, it was significantly enhanced by adding deep learning through Convolutional Neural Network (CNN) learning. This inspired us to examine the noteworthy efforts on action recognition using CNN. This paper presents a clear and objective overview of CNN-based action recognition and offers recommendations for further research.
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