Review on Recent Advances in Human Action Recognition in Video Data

被引：8

作者：

Baisware, Akshita ^{[1
]}

Sayankar, Bharati ^{[1
]}

Hood, Saurabh ^{[1
]}

机构：

[1] GH Raisoni Coll Engn, Nagpur, Maharashtra, India

来源：

2019 9TH INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN ENGINEERING AND TECHNOLOGY: SIGNAL AND INFORMATION PROCESSING (ICETET-SIP-19) | 2019年

关键词：

Video data; Action Recognition techniques; RNN; CNN; Deep Learning;

D O I：

10.1109/icetet-sip-1946815.2019.9092193

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页数：5

共 12 条

[1] A survey on deep learning based approaches for action and gesture recognition in image sequences [J].