Workflow recognition with structured two-stream convolutional networks
Workflow recognition with structured two-stream convolutional networks
复制标题
使用结构化双流卷积网络进行工作流识别
DOI：
10.1016/j.patrec.2018.10.011
复制
发表时间：
2020-02
影响因子：
5.1
通讯作者：
Hu Hua
中科院分区：
文献类型：
--
作者：
Hu Haiyang;Cheng Kaiming;Li Zhongjin;Chen Jie;Hu Hua
Intelligent monitoring plays an important role in the context of Industry 4.0”, and behavior recognition is one of the research points in computer vision. However, monitoring the workflow of human beings and machines in production process is very difficult in the real-world complex factory environment. In this paper, we propose a novel workflow recognition framework based on the structured two-stream convolutional neural networks (CNNs) to recognize the behavior of both workers and machines. To improve the accuracy of workflow recognition, we use the CNNs to extract the spatial-temporal features and integrate an attention mechanism to detect the valuable behavior. Then, a Video Triple model is introduced to gain extra timestamp information, which can extend the behavior recognition to workflow recognition. Extensive simulation experiments are conducted on THUMOS’14 dataset and a real-world workflow dataset that show the significant performance improvement in video activity recognition.
登录
查看更多内容
影响因子：
19.5
作者：
Yi Yang;Zhigang Ma;F. Nie;Xiaojun Chang;Alexander Hauptmann
通讯作者：
Yi Yang;Zhigang Ma;F. Nie;Xiaojun Chang;Alexander Hauptmann
DOI：
10.5244/c.23.124
发表时间：
2009-09
期刊：
--
影响因子：
--
作者：
Heng Wang;M. M. Ullah-M.;Alexander Kläser;I. Laptev;C. Schmid
通讯作者：
Heng Wang;M. M. Ullah-M.;Alexander Kläser;I. Laptev;C. Schmid
影响因子：
3.2
作者：
A. Voulodimos;D. Kosmopoulos;G. Vasiliou;Emmanuel Sardis;Vasilios Anagnostopoulos;C. Lalos;A. Doulamis;T. Varvarigou
通讯作者：
A. Voulodimos;D. Kosmopoulos;G. Vasiliou;Emmanuel Sardis;Vasilios Anagnostopoulos;C. Lalos;A. Doulamis;T. Varvarigou
DOI：
10.1109/wiamis.2013.6616141
发表时间：
2013-07
期刊：
2013 14th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS)
影响因子：
--
作者：
Eftychios E. Protopapadakis;A. Doulamis;N. Doulamis
通讯作者：
Eftychios E. Protopapadakis;A. Doulamis;N. Doulamis
DOI：
10.1007/978-3-642-19315-6_16
发表时间：
2010-11
期刊：
--
影响因子：
--
作者：
G. Veres;H. Grabner;Lee Middleton;L. Gool
通讯作者：
G. Veres;H. Grabner;Lee Middleton;L. Gool