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基于行人重识别的智能安防系统

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智能安防一直是人们非常关注的领域,其中行人重识别技术可以有效提高监控系统的实用性和可靠性.介绍了一种基于行人重识别技术的智能安防系统,该系统采用神经网络算法和B/S架构,并使用SpringBoot框架进行开发.该系统能够快速准确地识别出监控画面中的行人信息并进行重识别,从而有效解决传统安防系统中图像识别效率低的问题.同时,B/S架构使得系统具有良好的兼容性和扩展性,方便与其他系统进行集成和拓展.
Intelligent Security System Based on Pedestrian Re-identification
Intelligent security has long been a highly regarded field,and pedestrian re-identification technology can sig-nificantly enhance the usability and reliability of surveillance systems.This paper introduces an intelligent security system based on pedestrian re-identification technology.The system adopts neural network algorithms and a B/S architecture de-veloped using the SpringBoot framework.It can quickly and accurately identify pedestrian information in surveillance footage and perform re-identification,effectively addressing the problem of low image recognition efficiency in traditional security systems.Additionally,the B/S architecture provides the system with good compatibility and scalability,making it easy to in-tegrate and expand with other systems.

pedestrian re-recognitiondeep learningvideo surveillance

张扬、王荣刚、吕明

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南京理工大学自动化学院,江苏 南京 210094

重庆长安望江工业集团有限公司

行人重识别 深度学习 视频监控

2024

工业控制计算机
中国计算机学会工业控制计算机专业委员会 江苏省计算技术研究所有限责任公司

工业控制计算机

影响因子:0.258
ISSN:1001-182X
年,卷(期):2024.37(4)
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