节点文献
基于深度学习的视频行为识别方法综述
A survey of video behavior recognition based on deep learning
【摘要】 近年来,自动学习特征的深度学习方法在视频行为识别领域中不断被挖掘探索。在总结了常用的行为识别数据集的基础上,对传统的行为识别方法以及深度学习的相关基础原理进行了概述,着重对基于不同输入内容与不同深度网络的行为识别方法进行了较为全面、系统性的总结、对比与分析。最后,对深度学习在行为识别领域的发展做了总结并展望了未来的发展趋势。
【Abstract】 In recent years, the deep learning method of automatic learning features has been continuously explored in the field of video behavior recognition. The traditional behavior recognition methods and the underlying principles of deep learning were outlined. Then a number of behavior recognition methods based on different input content and different deep networks was compared and analyzed. Finally, the development of deep learning in the field of behavior recognition was concluded and its future development trend was prospected.
【关键词】 行为识别;
数据集;
自动学习;
深度网络;
【Key words】 behavior recognition; dataset; automatic learning; depth network;
【Key words】 behavior recognition; dataset; automatic learning; depth network;
【基金】 国家自然科学基金资助项目(No.61772162,No.U1866209);国家重点研发计划资助项目(No.2018YFC0831503);浙江省自然科学基金资助项目(No.LYl6F020016);浙江省重点研发计划资助项目(No.2018C01059,No.2019C01062)~~
- 【文献出处】 电信科学 ,Telecommunications Science , 编辑部邮箱 ,2019年12期
- 【分类号】TP391.41;TP18
- 【被引频次】18
- 【下载频次】1256