Computer Science

Computer Science ›› 2020, Vol. 47 ›› Issue (6A): 609-611.doi: 10.11896/JsJkx.190700118

• Interdiscipline & Application • Previous Articles     Next Articles

Intelligent Video Surveillance Systems Based on FPGA

ZHAO Bo1, 2, YANG Ming2, TANG Zhi-wei2 and CAI Yu-xin2   

  1. 1 School of Communication and Information Engineering,Shanghai University,Shanghai 200444,China
    2 The Third Research Institute of the Ministry of Public Security,Shanghai 201204,China
  • Published:2020-07-07
  • About author:ZHAO Bo, Ph.D.Her main research interests include signal and information processing and artificial intelligence, IoT technology.
    YANG Ming, associate professor.His main research interests include IoT security and artificial intelligence, IoT technology.
  • Supported by:
    This work was supported by the National Key R&D Program of China (2017YFC0806500).

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Abstract: According to the video monitoring new requirements,this paper designed a set of intelligent video surveillance and retrieval system based on FPGA.The system can perform video preprocessing,face detection,intelligent background removal and video structural description simultaneously,and realize intelligent video acceleration retrieval relies on hardware acceleration,so that to achieve rapid analysis and processing of surveillance video,and quickly get the ideal processing results.By FPGA integration (ARM9) CPU,DDR,video acquisition module,a variety of peripherals (UART,GPIO,etc.),the system can realize the detection and analysis of real-time video.For videos with a resolution of 1280*720,280MHz synchronous clock is adopted,and the system frame rate is about 6.6fps.When these Intellectual Property cores are integrated into the SOC chip,the processing speed can reach 30fps.

Key words: Background removal, Face detection, FPGA, Structured description, Video retrieval

CLC Number: 

  • TP391
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