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A video surveillance systemfor people detection and number estimation

机译:用于人员检测和人数估算的视频监控系统

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This paper proposes a method to detect people and estimate the number of the people in a supermarket for energy-saving. By using background subtraction technique to extract foreground, and utilizing the foreground to match adjustable standard template, the method detects people and eliminates non-human objects. Simultaneously, the people positions can be marked in the image. The experiment results show that the proposed method has good performance on people detection and counting in the surveillance camera of the supermarket.
机译:提出了一种节能检测中人的检测方法和估算方法。通过使用背景减法技术提取前景,并利用前景与可调整的标准模板进行匹配,该方法可以检测到人并消除非人为对象。同时,可以在图像中标记人员位置。实验结果表明,该方法在超市监控摄像机中对人的检测和计数具有良好的性能。

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