检索结果-南通市图书馆

Real-time vehicle tracking for traffic monitoring systems

High Technology Letters 2016年第3期22卷 248-255页

作者：胡硕 Zhang Xuguang Wu Na Key Laboratory of Industrial Computer Control Engineering of Hebei Province Institute of Electrical EngineeringYanshan University Key Laboratory of Measurement Technology & Instrumentation of Hebei Province Institute of Electrical EngineeringYanshan University

A real-time vehicle tracking method is proposed for trattlC monitoring system at roau mte^cc- tions, and the vehicle tracking module consists of an initialization stage and a tracking stage. Li- cense plate location based on edge density and color analysis is used to detect the license plate re- gion for tracking initialization. In the tracking stage, covariance matching is employed to track the license plate. Genetic algorithm is used to reduce the computational cost. Real-time image tracking of multi-lane vehicles is achieved. In the experiment, test videos are recorded in advance by record- ers of actual E-police systems erage false detection rate and at several different city intersections. In the tracking module, the av- missed plates rate are 1.19%, and 1.72%, respectively.

关键词： traffic monitoring system covariance matching genetic algorithms vehicle tracking

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Design of Transfer Alignment Optimization Algorithm Based on Modified Adaptive Kalman Filter

Design of Transfer Alignment Optimization Algorithm Based on...

引用

第40届中国控制会议

作者： ZHANG Wei WU Zhen-hua NIE Rui Chinese Flight Test Establishment

The transfer alignment performance of ship strapdown inertial navigation is easily affected by the system error model and filtering algorithm. This paper firstly proposes an integrated error model of dynamic deflection and lever effect in which the rigid lever acceleration is compensated, and the random process error model is extended to the filter state variables for preferable estimation. Secondly, a simplified Sage-Husa adaptive Kalman filter algorithm is modified through decomposing the state estimation covariance matrix by UD. On the premise of ensuring the semi-positive quality of the noise estimator, the calculation error during filtering iteration is reduced and the numerical stability is further improved. In addition, the divergent filtering suppression method based on covariance matching is introduced to improve the timeliness of filtering results. Simulation results show that when the prior statistical characteristics of system noise are difficult to accurately determine, the modified adaptive filtering algorithm can maintain the numerical stability and realize the adaptive estimation of the noise. The installation misalignment angle can be estimated more quickly and effectively,and the fast transfer alignment of SINS can be achieved.

关键词： transfer alignment adaptive Kalman filter UD decomposition covariance matching

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：