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DEEP LEARNING-BASED ABNORMAL BEHAVIOR DETECTION SYSTEM AND DETECTION METHOD FOR DETECTING AND RECOGNIZING ABNORMAL BEHAVIOR

机译:基于深度学习的异常行为检测系统和用于检测和识别异常行为的检测方法

摘要

The purpose of the present invention is to provide a deep learning-based abnormal behavior detection system and detection method capable of detecting and recognizing abnormal behavior, wherein the detection system and detection method can, at the time of detecting normal behavior and abnormal behavior from human behavior through analysis of the human behavior, detect and recognize a human who truly exhibits abnormal behavior and humans who falsely exhibit abnormal behavior among humans who exhibit abnormal behavior. In order to achieve the above purpose, the deep learning-based abnormal behavior detection system for detecting and recognizing abnormal behavior according to the present invention comprises a first step of analyzing behavior of a pedestrian by performing a convolution calculation with respect to image data provided by a photographing unit.
机译:本发明的目的是提供一种基于深度学习的异常行为检测系统和检测方法,能够检测和识别异常行为,其中检测系统和检测方法可以在通过分析人类行为从人类行为中检测正常行为和异常行为时,在表现出异常行为的人中,检测并识别出真正表现出异常行为的人和虚假表现出异常行为的人。为了实现上述目的,根据本发明的用于检测和识别异常行为的基于深度学习的异常行为检测系统包括通过对摄影单元提供的图像数据执行卷积计算来分析行人行为的第一步。

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