基于视频的多智能体交通监控系统

B. Abreu, L. Botelho, A. Cavallaro, D. Douxchamps, T. Ebrahimi, Pedro Figueiredo, B. Macq, B. Mory, Luís Nunes, J. Orri, M. J. Trigueiros, A. Violante
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引用次数: 57

摘要

本文介绍了基于视频的多智能体交通监控系统Monitorix。Monitorix代理根据其执行的信息处理类型分为四层:传感器和效应器层、客观描述层、应用程序辅助层和用户辅助层。视频分析算法使用自适应的、数据驱动的、独立于应用程序的方法从视频原始数据中提取特征。尽管智能体任务的多样性,自适应学习算法在大多数情况下使用。视频分析算法与代理技术的集成是通过一个特殊的中间代理(Proxy)实现的。Monitorix是一个完全分散的多代理系统,生活在FIPA平台上,使用FIPA代理通信语言。Tracker代理使用交通模型和可调整模型参数的学习算法,在不重叠的摄像头之间对车辆进行跟踪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Video-based multi-agent traffic surveillance system
This paper describes Monitorix, a video-based traffic surveillance multi-agent system. Monitorix agents are grouped in four tiers, according to the kind of information processing they perform: the sensors and effectors tier, the objective description tier, the application assistant tier, and the user assistant tier. The video analysis algorithms use an adaptive, data-driven, application independent approach to extract features from the video raw data. In spite of the diversity of agent tasks, adaptive learning algorithms are used in most cases. The integration of video analysis algorithms and agent technology is made via a special middle agent called Proxy. Monitorix is a fully decentralised multi-agent system living in a FIPA Platform and using FIPA Agent Communication Language. Tracking of vehicles across nonoverlapping cameras is performed by the Tracker agent, using a traffic model and learning algorithms that tune the model parameters.
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