基于目标检测与跟踪的闭环智能监控实验平台

Closed-loop Intelligent Monitoring Experimental Platform Based on Target Detection and Tracking

  • 摘要: 研发了一种基于目标检测与跟踪的闭环智能监控实验平台,该平台有机融合了机器视觉中运动目标检测算法、深度学习目标检测与分割框架和目标跟踪算法,形成了闭环智能监控方法。在智能图像处理基础上完成界面设计、邮件发送功能的集成化,形成一个完备的监控平台,适用于室内外的智能监控。该实验平台的开发融合了机器视觉、人工智能、界面设计与通信技术,体现了实验系统的创新性,有利于培养信息工程类学生的探索能力、实践能力以及创新能力。

     

    Abstract: This paper develops a closed-loop intelligent monitoring experimental platform based on target detection and tracking. The platform organically integrates the moving target detection algorithm based on machine vision, the target detection framework and the target tracking algorithm based on deep learning to build a closed-loop intelligent monitoring method. On the basis of intelligent image processing, the experimental platform further integrates the interface design and integrated the function of mail sending, forming a monitoring platform suitable for indoor and outdoor intelligent monitoring. The development of the experimental platform integrates machine vision, artificial intelligence, interface design and communication technology, reflecting the innovation of the experimental system, and is conducive to cultivating the exploration ability, practical ability and innovation ability of information engineering students.

     

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