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Garbage dumper detection system and method using multi-characteristic information in surveillance camera environment

机译:使用监控相机环境中多特色信息的垃圾净化器检测系统和方法

摘要

The present invention relates to a system and method for detecting a garbage dumping actor using multiple feature information in a surveillance camera environment, comprising: a feature database in which feature data for extracting features of a target is stored; an image acquisition unit for acquiring an image photographed through a pre-installed camera; a target setting unit for setting a person holding the object as a feature extraction target using a deep learning model previously learned from the image acquired through the image acquisition unit; a feature extraction unit for extracting feature data for determining whether a specific action is performed from a set feature extraction target; and a specific behavior detection unit configured to detect a garbage dumping behavior by using the characteristic information extracted through the characteristic extraction unit.
机译:本发明涉及一种用于使用监视相机环境中的多个特征信息检测垃圾堆换乘器的系统和方法,包括:特征数据库,其中存储用于提取目标的特征的特征数据; 用于获取通过预先安装的相机拍摄的图像的图像采集单元; 一种目标设置单元,用于使用先前从通过图像获取单元获取的图像学习的深度学习模型将其作为特征提取目标设置为特征提取目标的目标设置单元; 用于提取要确定特定动作是否从集合特征提取目标执行的特征数据的特征提取单元; 并且特定的行为检测单元被配置为通过使用通过特征提取单元提取的特征信息来检测垃圾倾倒行为。

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