Moving Target Detection Algorithm Combining Three-Frame Difference and Hough

Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019) Pub Date : 2019-04-01 DOI:10.2991/ICMEIT-19.2019.11

Liu Mingming, Dongbin Pei, Haoxiang Sun, Ju Liu, Zhu Donghui

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引用次数: 1

Abstract

Difference and Hough Mingming Liu1, Dong Pei 1,2, *, Haoxiang Sun 1, Ju Liu 1, Donghui Zhu 1 1College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou Gansu 730030, China; 2Engineering Research Center of Gansu of Gansu Province for Intelligence Information Technology and Application, Lanzhou Gansu 730030, China. *peidong@nwnu.edu.cn Abstract. Aiming at the three-frame difference method, the moving target detection will be misdetected due to the influence of noise. A moving target detection algorithm with improved threeframe difference combined with Hough is proposed. Firstly, the background difference method based on local adaptive threshold is used to reduce the influence of light and noise on moving target detection. Secondly, the differential result of three-frame difference method is introduced to improve the sensitivity of detection. Finally, the two differential results are combined and combined. The Hough transform detects the moving target. The experimental results show that the algorithm can effectively suppress noise and quickly and accurately identify moving targets, which meets the needs of real-time detection.

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结合三帧差分和霍夫的运动目标检测算法

差分与霍夫刘明明1，裴东1,2，*，孙浩翔1，刘菊1，朱东辉1 1西北师范大学物理与电子工程学院，甘肃兰州730030;2甘肃省智能信息技术与应用工程研究中心，甘肃兰州730030;* peidong@nwnu.edu.cn抽象。针对三帧差分法，由于噪声的影响会导致运动目标检测误检。提出了一种改进的三帧差分结合霍夫的运动目标检测算法。首先，采用基于局部自适应阈值的背景差分方法，降低光噪声对运动目标检测的影响;其次，引入三帧差分法的差分结果，提高检测灵敏度;最后对两个差分结果进行合并和组合。霍夫变换检测运动目标。实验结果表明，该算法能够有效抑制噪声，快速准确地识别运动目标，满足实时检测的需要。

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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Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

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