Multi-modal Video Surveillance Aided by Pyroelectric Infrared Sensors
Multi-modal Video Surveillance Aided by Pyroelectric Infrared Sensors
复制标题
热释电红外传感器辅助的多模态视频监控
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
L. Benini
中科院分区：
文献类型：
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作者：
Michele Magno;Federico Tombari;D. Brunelli;L. D. Stefano;L. Benini
在过去的几年里，对能够在网络中协作的低成本和小尺寸视频监控系统的兴趣一直在增加。由于低功耗设计的进步，研究已经大大降低了这种分布式嵌入式系统的尺寸和功耗，提供了灵活性，快速部署，并允许实施有效的视觉算法，直接在嵌入式节点上执行图像处理。在本文中，我们提出了一种多模态视频传感器节点设计的低功耗和低成本的视频监控能够检测环境中的变化。该系统配备了一个CMOS摄像机和一个热释电红外（PIR）传感器，利用显着降低系统的功耗，在没有事件。板载微处理器实现基于NCC的变化检测算法。我们分析了不同的配置和系统的运行时执行和功耗方面的特点。
The interest in low-cost and small size video surveillance systems able to collaborate in a network has been increasing over the last years. Thanks to the progress in low-power design, research has greatly reduced the size and the power consumption of such distributed embedded systems providing flexibility, quick deployment and allowing the implementation of effective vision algorithms performing image processing directly on the embedded node. In this paper we present a multi-modal video sensor node designed for low-power and low-cost video surveillance able to detect changes in the environment. The system is equipped with a CMOS video camera and a Pyroelectric InfraRed (PIR) sensor exploited to reduce remarkably the power consumption of the system in absence of events. The on-board microprocessor implements an NCC-based change detection algorithm. We analyze different configurations and characterize the system in terms of runtime execution and power consumption.