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A real time expert system for anomaly detection of aerators based on computer vision and surveillance cameras

机译：基于计算机视觉和监控摄像机的Anomaly检测Anomaly检测实时专家系统

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摘要

Aerators are essential and crucial auxiliary devices in intensive culture, especially in industrial culture in China. In this paper, we propose a real-time expert system for anomaly detection of aerators based on computer vision technology and existing surveillance cameras. The expert system includes two modules, i.e., object region detection and working state detection. First, we present a small object region detection method based on the region proposal idea. Moreover, we propose a novel algorithm called reference frame Kanade-Lucas-Tomasi (RF-KLT) algorithm for motion feature extraction in fixed regions. Then, we describe a dimension reduction method of time series for establishing a feature dataset with obvious boundaries between classes. Finally, we use machine learning algorithms to build the feature classifier. The proposed expert system can realize real-time, robust and cost-free anomaly detection of aerators in both the actual video dataset and the augmented video dataset. Demo is available at https://youtu.be/xThHRwu_cnl. (C) 2020 Elsevier Inc. All rights reserved.
机译：曝气器是强化文化中必不可少的和关键的辅助装置，特别是在中国的工业文化中。在本文中，我们提出了一种基于计算机视觉技术和现有监控摄像机的Anomaly检测的实时专家系统。专家系统包括两个模块，即对象区域检测和工作状态检测。首先，我们介绍了基于该区域提议思想的小对象区域检测方法。此外，我们提出了一种称为参考帧KANADE-LUCAS-TOMASI（RF-KLT）算法的新型算法，用于固定区域中的运动特征提取。然后，我们描述了一种时间序列的尺寸减少方法，用于在类之间建立具有明显边界的特征数据集。最后，我们使用机器学习算法来构建要素分类器。所提出的专家系统可以在实际视频数据集和增强视频数据集中实现实际，稳健和无成本的曝气器的曝气器。演示可在https://youtu.be/xthhrwu_cnl上获得。 （c）2020 Elsevier Inc.保留所有权利。

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  • 来源
    《Journal of visual communication & image representation》 |2020年第4期|102767.1-102767.16|共16页
  • 作者

    Liu Yeqi; Yu Huihui; Gong Chuanyang; Chen Yingyi;

  • 作者单位

    China Agr Univ Coll Informat & Elect Engn Beijing 100083 Peoples R China|Minist Agr Key Lab Agr Informat Acquisit Technol Beijing 100083 Peoples R China|Beijing Engn & Technol Res Ctr Internet Things Ag Beijing 100083 Peoples R China;

    Beijing Forestry Univ Sch Informat Sci & Technol Beijing 100091 Peoples R China;

    China Agr Univ Coll Informat & Elect Engn Beijing 100083 Peoples R China|Minist Agr Key Lab Agr Informat Acquisit Technol Beijing 100083 Peoples R China|Beijing Engn & Technol Res Ctr Internet Things Ag Beijing 100083 Peoples R China;

    China Agr Univ Coll Informat & Elect Engn Beijing 100083 Peoples R China|Minist Agr Key Lab Agr Informat Acquisit Technol Beijing 100083 Peoples R China|Beijing Engn & Technol Res Ctr Internet Things Ag Beijing 100083 Peoples R China|China Agr Univ Natl Innovat Ctr Digital Fishery Beijing 100083 Peoples R China;

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  • 正文语种 eng
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  • 关键词

    Computer vision; Surveillance camera; Anomaly detection; Optical flow; Object region detection; Application;

    机译：电脑视觉;监控摄像机;异常检测;光学流动;对象区域检测;应用;

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