视频数据中人体动作识别的研究进展

Akshita Baisware, Bharati B. Sayankar, Saurabh Hood
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引用次数: 6

摘要

人工智能在图像识别、人体动作识别、自然语言处理等方面都达到了新的高度。它具有广泛的实施领域,如物联网,机器人,生物科学和监测。基于视频的人体动作识别有许多潜在的应用,使其成为研究人员最追求的领域。随着高性能计算、计算机视觉和gpu的不断发展,基于深度学习的人类活动识别是不断发展和发展的方向之一。本文综述了基于深度学习的动作识别领域的最新进展。本文讨论了动作识别和动作预测技术的发展现状以及未来的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Review on Recent Advances in Human Action Recognition in Video Data
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.
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