stagNet: An Attentive Semantic RNN for Group Activity and Individual Action Recognition.

IEEE Transactions on Circuits and Systems for Video Technology(2020)

引用 96|浏览232
暂无评分
摘要
In real life, group activity recognition plays a significant and fundamental role in a variety of applications, e.g. sports video analysis, abnormal behavior detection, and intelligent surveillance. In a complex dynamic scene, a crucial yet challenging issue is how to better model the spatio-temporal contextual information and inter-person relationship. In this paper, we present a novel attentive ...
更多
查看译文
关键词
Semantics,Hidden Markov models,Activity recognition,Recurrent neural networks,Task analysis,Adaptation models,Sports
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要