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Automatic Audio and Video Event Recognition in an Intelligent Resource Management System

机译:智能资源管理系统中的音频和视频事件自动识别

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摘要

Event recognition systems have high potential to support crisis management and emergency response. For large-scale scenarios, however, the sheer amount of possible audio and video channels requires adequate processing of the material by automatic means. In this article, the authors focus on automatic audio and video event recognition, by means of detecting abnormalities both in train noise as well as surveillance videos, and by conducting automatic speech recognition on fire fighter communication. All components are integrated in an overall intelligent resource management system. The authors elaborate on the challenges expected from real life data and the solutions that the authors applied. The overall system, based on Event-Driven Service-Oriented Architecture, has been implemented and partly integrated into the end users' infrastructures. The system has been continuously running for more than two years, collecting data for research purposes.
机译:事件识别系统具有支持危机管理和应急响应的巨大潜力。但是,对于大规模场景,可能的音频和视频通道数量庞大,需要通过自动方式对材料进行适当的处​​理。在本文中,作者将重点放在自动音频和视频事件识别上,方法是检测火车噪声和监视视频中的异常,并在消防员通信中进行自动语音识别。所有组件都集成在一个整体的智能资源管理系统中。作者详细阐述了现实生活中的数据所面临的挑战以及作者所采用的解决方案。整个系统基于事件驱动的面向服务的体系结构已实现,并部分集成到最终用户的基础架构中。该系统已经连续运行了两年多,收集数据用于研究目的。

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