Review on Recent Advances in Human Action Recognition in Video Data

Abstract

AI has achieved new heights in image recognition, human action recognition and NLP. It has a vast area of implementations such as IoT, robotics, biosciences and surveillance. Video based human action recognition has lots of potential applications that make it the most sought after field for researchers. With the constant growth of high performance computing, computer vision and GPUs, deep learning based human activity recognition is one of the constant evolving and promising stream. This review focuses on recent advancements in the field of action recognition based on deep learning. The present state of the art techniques for action recognition and prediction as well as the future scope for the research is discussed in the paper.