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Networked large-scale image sensing system using spatially-variant sampling smart image sensors

机译:使用空间变异采样智能图像传感器的网络化大型图像传感系统

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Large-scale image sensing system is considered to provide better coverage than conventional video surveillance systems with small number of image sensors; however, on the other hand, the bandwidth problem is likely to occur because the network resources should be shared by the image sensors at the same time, which makes it difficult to implement a practical system. As one of the feasible solutions, we present the system using a spatially-variant sampling (SVS) smart image sensor for real-time spatial resolution control that is hard to achieve by the conventional CCD image sensors. The regions with moving objects are detected on the sensor nodes and transmitted with different spatial resolution and temporal rate. The simulation results support the effectiveness of this scheme. The experimental system is being developed.
机译:与具有少量图像传感器的常规视频监视系统相比,大型图像传感系统被认为具有更好的覆盖范围;然而,另一方面,由于网络资源应该同时由图像传感器共享,因此很可能发生带宽问题,这使得难以实现实际的系统。作为可行的解决方案之一,我们介绍了使用空间变量采样(SVS)智能图像传感器进行实时空间分辨率控制的系统,这是传统CCD图像传感器难以实现的。在传感器节点上检测到带有移动对象的区域,并以不同的空间分辨率和时间速率进行传输。仿真结果证明了该方案的有效性。实验系统正在开发中。

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