Embedded system for real-time human motion detection

Mohammad Mayya, N. Zarka, M. Alkadi
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引用次数: 2

Abstract

This paper describes an embedded system for real-time human motion detection using a fixed camera. A modified version of the Codebook algorithm is developed to detect moving objects. This algorithm provides fast background modelling and subtraction with small storage memory requirements. Then, the system detects humans using a simplified Skeletonization algorithm, which uses the individual human shape and does not need a model comparison. Functional and timing simulations are applied by using MATLAB and Visual Studio on PC. Finally, the system is installed on ALTERA Cyclone™ II DSP development board and implemented using the Nios II processor and some hardware accelerators.
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嵌入式系统实时人体运动检测
本文介绍了一种利用固定摄像机进行实时人体运动检测的嵌入式系统。开发了一种改进的Codebook算法来检测运动物体。该算法提供了快速的背景建模和减法,且存储内存要求小。然后,系统使用简化的骨架化算法检测人体,该算法使用个体人体形状,不需要模型比较。利用MATLAB和Visual Studio在PC上进行了函数仿真和时序仿真。最后,将系统安装在ALTERA Cyclone™II DSP开发板上,使用Nios II处理器和一些硬件加速器实现。
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