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An embedded system with realtime surveillance application

机译:具有实时监控应用的嵌入式系统

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To reduce the manpower and response time for surveillance systems at low cost, in this paper, an ARM-based embedded system dedicated for unattended realtime moving target detection is constructed. The comprehensive procedures in building up an embedded system such as setup environment for cross-compilation, migration of Bootloader, migration of Linux-2.6 kernel, fabrication and migration of root document system and setup of peripheral driving devices have been presented. The algorithm of image background subtraction for moving target detection and tracking technology has been presented. In this embedded system, for two consecutive 640×480 image frames captured by camera, if the difference of 8-bit gray level value of a pixel at the same position is greater than 32, that pixel is marked as a “moving pixel”. When there are more than 500 moving pixels in two consecutive image frames, the camera is triggered to take pictures because the system assumes that a moving “invader” appears. Consequently, the system will transfer the taken invader's pictures to “The Cloud” through WiFi to prevent the pictures being destroyed by the invader. The constructed embedded system can be used in a security system and other applications with proper modifications.
机译:为了降低低成本的监视系统的人力和响应时间,本文构建了一种专门用于无人值守实时运动目标检测的基于ARM的嵌入式系统。提出了构建嵌入式系统的完整过程,例如交叉编译的安装环境,Bootloader的移植,Linux-2.6内核的移植,根文档系统的制造和移植以及外围驱动设备的安装。提出了一种用于运动目标检测与跟踪技术的图像背景减除算法。在该嵌入式系统中,对于相机连续捕获的两个640×480图像帧,如果同一位置像素的8位灰度级值之差大于32,则将该像素标记为“运动像素”。当两个连续的图像帧中有超过500个运动像素时,由于系统假定出现了运动的“入侵者”,因此触发了相机拍照。因此,系统将通过WiFi将拍摄的入侵者的照片传输到“云”,以防止照片被入侵者破坏。经过适当修改,构建的嵌入式系统可以用于安全系统和其他应用程序中。

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