A Semi-Automatic Video Annotation Tool to Generate Ground Truth for Intelligent Video Surveillance Systems

Author(s):  
Joosung Kim ◽  
Ryu-Hyeok Gwon ◽  
Jin-Tak Park ◽  
Hakil Kim ◽  
Yoo-Sung Kim
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.


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