Implementation and Performance Testing of Background Subtraction Algorithm on ESP32

D. A. Jatmiko, Salita Ulitia Prini
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引用次数: 2

Abstract

This paper describes the background subtraction algorithm and its performance in low power processing units, this algorithm has low complexity and can be used to detect objects so that it has the potential to be applied to security cameras. This study has succeeded in applying basic image processing algorithms to detect and track objects, such as background subtraction in the ESP32 module. The ESP32 module equipped with Xtensa® 32-bit LX6 microprocessor running at 240MHz can process 10000 times background subtraction algorithms in ~ 2000ms using 80x60 pixel image input. Background Subtraction; Embedded; ESP32; Image Processing; Microcontroller; Object Detection;
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背景减法算法在ESP32上的实现与性能测试
本文介绍了背景减法算法及其在低功耗处理单元上的性能,该算法复杂度低,可用于检测物体,因此具有应用于安防摄像机的潜力。本研究成功地应用了基本的图像处理算法来检测和跟踪目标,如ESP32模块中的背景减法。ESP32模块配备Xtensa®32位LX6微处理器,运行频率为240MHz,使用80x60像素的图像输入,可在~ 2000ms内处理10000次背景减法算法。背景减法;嵌入的;ESP32;图像处理;微控制器;目标检测;
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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发文量
25
审稿时长
12 weeks
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