Comprehensive Study of Different Dataset for Human Action and Activity to Understanding Human Behavior using Computer Vision Technique

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Rakesh Yashwant Gedam, Rakesh Jagdish Ramteke

Abstract

The terms “action” and “activity” are frequently used inter-


changeably in the vision literature


In the paper, understanding human behavior with the help of a machine on the human actions and activity attracts many researchers due to its wide range of application. Human behavior Analysis is dependent on both the temporal and spatial context. The datasets themselves specifically related to visual modalities, and their evolution towards modern datasets. This paper gives great detail of evolution of Datasets for Human Action Activity, Behavior Understanding from last two decade along with various evaluation parameter. Finally classification five type’s i.e atomic action level, behavior level, interaction level and group activities level to assist researcher for select as per requirement.

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