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首页> 外文期刊>Journal of mathematical imaging and vision >Stereo Video Surveillance Multi-agent System: New Solutions for Human Motion Analysis
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Stereo Video Surveillance Multi-agent System: New Solutions for Human Motion Analysis

机译：立体视频监控多主体系统：人体运动分析的新解决方案

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This article presents a distributed agent-based system that can process the visual information obtained by stereoscopic cameras. The system is embedded within a global project whose objective is to develop an intelligent environment for location and identification within dependent environments that merges with other types of technologies. In this kind of environments, vision algorithms are very costly and require a lot of time to produce a response, which is highly inconvenient since many applications can require action to be taken in real time. A multi-agent system (MAS) can automate the process of analyzing images obtained by cameras, and optimize the procedure. This study presents a MAS that can process stereoscopic images to detect and classify people by combining a series of novel techniques. The article shows in detail the combination of techniques used to perform the detection process. The process can be subdivided into human detection, human tracking, and human behavior understanding. With the addition of a case-based reasoning (CBR) model, the system can also incorporate reasoning capabilities. The system was tested under different conditions and environments.
机译：本文介绍了一种基于分布式代理的系统，该系统可以处理通过立体相机获得的视觉信息。该系统被嵌入到一个全球项目中，该项目的目的是开发一种智能环境，用于在依赖环境中进行定位和标识，并将其与其他类型的技术合并。在这种环境下，视觉算法非常昂贵，并且需要大量时间来产生响应，这非常不方便，因为许多应用程序可能需要实时采取措施。多主体系统（MAS）可以自动分析相机获取的图像的过程，并优化过程。这项研究提出了一种MAS，它可以通过结合一系列新颖的技术来处理立体图像以对人进行检测和分类。本文详细显示了用于执行检测过程的技术组合。该过程可以细分为人类检测，人类跟踪和人类行为理解。通过添加基于案例的推理（CBR）模型，该系统还可以合并推理功能。该系统在不同的条件和环境下进行了测试。

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