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Real-time audio surveillance system for PTZ camera

机译：云台摄像机实时音频监控系统

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In this paper, we propose an audio surveillance system to detect and localize dangerous sound in real-time so as to be able to direct a PTZ camera to catch a snapshot image about the location of sound source instantly. The proposed audio surveillance system firstly detects foreground sound based on adaptive Gaussian mixture background sound model, and classifies it into one of pre-trained classes of foreground sounds based on GMM model. Next, it decides whether it belongs to dangerous class group or not. If it does, then a sound source localization algorithm based on Dual delay-line algorithm is applied to localize the sound source. Finally, the proposed system uses the sound source location information to pan and tilt the PTZ camera towards the orientation of the dangerous sound source, and take a snapshot against over the sound source region. Experiment results show that the proposed system can detect foreground sound stably and recognize dangerous sounds with a precision of 79% while the sound source localization can estimate orientation of the sound source with acceptably small error.
机译：在本文中，我们提出了一种音频监视系统，用于实时检测和定位危险的声音，以便能够引导PTZ摄像机立即捕获有关声源位置的快照图像。所提出的音频监视系统首先基于自适应高斯混合背景声音模型检测前景声音，然后基于GMM模型将其分类为预训练的前景声音类别之一。接下来，确定它是否属于危险类别组。如果是的话，则应用基于双重延迟线算法的声源定位算法来对声源进行定位。最后，所提出的系统使用声源位置信息将PTZ摄像机平移并倾斜到危险声源的方向，并对声源区域进行快照。实验结果表明，所提出的系统能够稳定地检测出前景声音，并能以79％的精度识别危险声音，而声源定位可以以很小的误差估计声源的方向。

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