An Ultra-Low-Power Contrast-Based Integrated Camera Node and its Application as a People Counter

An Ultra-Low-Power Contrast-Based Integrated Camera Node and its Application as a People Counter
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一种超低功耗基于对比度的集成摄像头节点及其在人数统计器中的应用

DOI:
10.1109/avss.2010.26
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发表时间:
2010
期刊:
2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance
影响因子:
--
通讯作者:
M. Gottardi
M. Gottardi
中科院分区:
--
文献类型:
--
作者:
L. Gasparini;R. Manduchi;M. Gottardi

文献摘要

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我们描述了一种新型基于对比度的二进制 CMOS 成像传感器在独立系统中的实现。该传感器具有极低功耗和宽动态范围的特点,这使其对无线摄像机网络应用具有吸引力。在我们的实现中,传感器与基于闪存的 FPGA 处理器连接,该处理器负责数据读出和图像处理。这个独立的摄像头节点被配置为用于统计走过走廊的人数的系统。以 30fps 的速度从视频流中的每个图像中提取简单特征。基于这些特征的时间演化设计了分类器,该分类器被建模为马尔可夫链。然后,视频流被分割成与穿过视野的个人相对应的间隔。实验结果显示在相机采集的真实序列的交叉验证测试中。
We describe the implementation in a self-standing systemof a novel contrast-based binary CMOS imaging sensor.This sensor is characterized by very low power consumptionand wide dynamic range, which makes it attractive forwireless camera network applications. In our implementation,the sensor is interfaced with a Flash-based FPGA processor,which handles data readout and image processing.This self-standing camera node is configured as a system forcounting persons walking through a corridor. Simple featuresare extracted from each image in a video stream at 30fps. A classifier is designed based on the temporal evolutionof these features, which is modeled as a Markov chain. Thevideo stream is then segmented into intervals correspondingto individual persons crossing through the field of view. Experimentalresults are shown in cross-validated tests overreal sequences acquired by the camera.