Real-time target detection and recognition with deep convolutional networks for intelligent visual surveillance

Author(s):  
Wen Xu ◽  
Jing He ◽  
Hao Lan Zhang ◽  
Bo Mao ◽  
Jie Cao
2013 ◽  
Vol 389 ◽  
pp. 770-775
Author(s):  
Guang Long Li ◽  
Xiang Bin Zhu ◽  
Hai Geng

This paper is mainly talking about processing, analysis and understanding of video signal in intelligent video surveillance, and we designed an efficient target detection and recognition model. Through the model to detect the target object in motion and then track the detected target. Eventually we achieved real-time monitoring of the unguarded areas. The focus of this article is about how to achieve the moving target tracking in OpenCV (Open Source Computer Vision Library) environment.


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