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Multicore DSPs thermal image sequence processing for real time motion detection in thermal surveillance system

机译:用于热监控系统中实时运动检测的多核DSP热图像序列处理

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Motion detection of objects or people is an important operation in visual and also in thermo visual surveillance systems. From speed of execution and accuracy of motion detection operation strongly are depended the main characteristics of a real working surveillance system. Therefore, the goal of this article is to develop of a multicore DSP thermal image sequence processing module suitable for real time objects or people motion detection and tracking and also to present here the experimental results from this development. The development of multicore DSP module is based on Xilinx module Zynq-7000 All Programmable SoC. The proposed algorithm of motion detection in thermal images is first modeled using OpenCV library functions for image processing, and then the algorithm is accelerating using Xilinx Vivado HLS Video Libraries to implement the algorithm of motion detection in thermal images in Xilinx module Zynq-7000. The presented in this article experimental results show the ability to detect in real time motions of objects or people in thermal images and to use the results for next steps of a whole algorithm for thermo visual surveillance-objects and people tracking in thermal images.
机译:物体或人的运动检测是视觉以及热视觉监视系统中的重要操作。从执行速度和运动检测操作的准确性来看,强烈依赖于实际工作监视系统的主要特征。因此,本文的目的是开发一种适用于实时对象或人的运动检测和跟踪的多核DSP热图像序列处理模块,并在此介绍该开发的实验结果。多核DSP模块的开发是基于Xilinx模块Zynq-7000 All Programmable SoC。首先使用OpenCV库函数对所提出的热图像运动检测算法进行建模,然后使用Xilinx Vivado HLS视频库加速该算法,以在Xilinx模块Zynq-7000中实现热图像运动检测算法。本文介绍的实验结果表明,该功能可以实时检测热图像中的对象或人的运动,并将结果用于热视觉监视对象和人员在热图像中跟踪的整个算法的下一步。

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