Abnormal event detection using multimedia information for monitoring system

D. Tran, Thi-Lan Le, Thi-Thanh-Hai Tran
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引用次数: 8

Abstract

The health smart home has been become an attractive domain for both research and industrial. One of the main issues in smart home is abnormal event detection that allows alarming and making assistance as soon as possible. In this paper, we analyze and exploit multimedia information (image and audio) to resolve the problem of abnormal event detection. The interested abnormal events of our study include falling, lying motionless on the floor, staying in rest room, being out door in long time, abnormal speech (e.g. screaming, shouting) and abnormal non-speech (e.g. breaking and falling sounds). The experimental results evaluated by false alarm rate and sensitivity show that audio and image information complement each other and the use of both information allows detecting a large number of interested abnormal events which can be used in monitoring system for healthcare application.
利用多媒体信息检测异常事件进行监控系统
健康智能家居已经成为一个有吸引力的研究和工业领域。智能家居的主要问题之一是异常事件检测,以便尽快报警和提供帮助。本文通过分析和利用多媒体信息(图像和音频)来解决异常事件的检测问题。我们研究中感兴趣的异常事件包括跌倒、不动地躺在地板上、呆在洗手间、长时间呆在室外、异常的语言(如尖叫、喊叫)和异常的非语言(如破碎、跌落的声音)。通过虚警率和灵敏度评价的实验结果表明,音频和图像信息是互补的,利用这两种信息可以检测到大量感兴趣的异常事件,可以用于医疗保健应用的监测系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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