Abstract
Human Action Recognition (HAR) has been a challenging problem yet it needs to be solved. Recently the detection and recognition of human action has broad range of applications and is popularized in the field of computer vision. It mainly focuses on to understand human behaviour and name a label to each action. There are many approaches for action recognizing from both image and video based actions. Now it is time to review these existing approaches in order to help for future research. The main aim of this work is to study the various action recognition techniques in videos and images. The paper presents a brief overview of features of human actions by categorizing as still image-based and video-based. All related datasets are also introduced in this paper, which will be helpful for future research.
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