Deep CNN-Based Fire Alert System in Video Surveillance Networks

Author(s):  
P. J. Sunitha ◽  
K. R. Joy
2018 ◽  
Vol 189 ◽  
pp. 03021
Author(s):  
Shiyan Chen ◽  
Dagang Li

Most of today’s intelligent video surveillance systems are based on Linux core and rely on the kernel’s socket mechanism for data transportation. In this paper, we propose APRO, a novel framework with optimized zero-copy capability customized for video surveillance networks. Without the help of special hardware support such as RNIC or NetFPGA, the software-based APRO can effectively reduce the CPU overhead and decrease the transmission latency, both of which are much appreciated for resource-limited video surveillance networks. Furthermore, unlike other software-based zero-copy mechanisms, in APRO zero-copied data from network packets are already reassembled and page aligned for user-spac applications to utilize, which makes it a ‘true’ zero-copy solution for localhost applications. The proposed mechanism is compared with standard TCP and netmap, a typical zero-copy framework. Simulation results show that APRO outperforms both TCP and localhost optimized netmap implementation with the smallest transmission delay and lowest CPU consumption.


2019 ◽  
Vol 49 (7) ◽  
pp. 1419-1434 ◽  
Author(s):  
Khan Muhammad ◽  
Jamil Ahmad ◽  
Zhihan Lv ◽  
Paolo Bellavista ◽  
Po Yang ◽  
...  

2019 ◽  
Vol E102.B (3) ◽  
pp. 528-536 ◽  
Author(s):  
Kaimin CHEN ◽  
Wei LI ◽  
Zhaohuan ZHAN ◽  
Binbin LIANG ◽  
Songchen HAN

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