摘要
针对复杂环境下视觉行李托运系统存在的目标遮挡问题,设计一种基于视觉目标跟踪的行李托运系统,同时提出一种基于边缘检测的移动人体跟踪方法,实现行李自动托运系统的设计.该行李托运系统由监控终端、ARM跟踪平台以及Wi-Fi定位系统组成.实施现场主要由ARM跟踪平台托运行李,并对移动人体目标进行实时跟踪,然后利用Wi-Fi信号强度信息对ARM跟踪平台进行定位和监控.应用结果表明:本系统在机场、车站等复杂环境下进行基于视觉的行李托运,具有较高的实时性和跟踪准确率,较好地解决了因遮挡导致的目标丢失问题.
A novel system for luggage transportation based on visual target tracking approach, which puts forward a pedestrian tracking approach based on Edge Detection, is proposed to solve the problem of occlusion in complex environments for automatic luggage transportation. The luggage transportation system consists of monitor terminal, ARM tracking platform and Wi-Fi location system. In the application site, the luggage is transported by ARM tracking platform, and tracks the moving pedestrian real-time. ARM tracking platform is located and monitored by Wi-Fi signal intensity and video frame. The result of application shows that the proposed system has preferably overcome the problem of occlusion in complex environments, such as airport and railway station, and achieves good tracking results with high real-time performance and high accurate rate.
出处
《辽宁工程技术大学学报（自然科学版）》
CAS
北大核心
2017年第8期876-882,共7页
Journal of Liaoning Technical University (Natural Science)
基金
国家自然科学基金(61172144)
辽宁省科技攻关计划项目(2012216026)
作者简介
姜文涛（1986-），男，辽宁大连人，博士，讲师，主要从事图像与视觉信息计算等方面的研究．
