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BEHAVIOR DETECTION METHOD, APPARATUS, AND COMPUTER-READABLE STORAGE MEDIUM

机译:行为检测方法,装置和计算机可读存储介质

摘要

Provided is a behavior detection method, relating to the technical field of deep learning; the method comprises: inputting a to-be-detected video into a trained target detection model to obtain a target detection result corresponding to a video to be detected (S110); extracting key point information of a human body in the video to be detected, and pre-processing the key point information to obtain a posture classification result corresponding to the human body in the video to be detected (S120); performing logistic regression processing of the target detection result and the posture classification result to obtain a behavior detection result of the human body in the video to be detected (S130). In the method it is possible to combine a posture classification result with a target detection result to perform target behavior detection, and the speed and accuracy of behavior detection are high.
机译:提供是一种行为检测方法,与深度学习技术领域有关; 该方法包括:将被检测的视频输入到训练的目标检测模型中,以获得与要检测的视频相对应的目标检测结果(S110); 在要检测的视频中提取人体的关键点信息,并预处理关键点信息以获得与要检测的视频中的人体对应的姿势分类结果(S120); 执行目标检测结果的逻辑回归处理和姿势分类结果以获得要检测的视频中的人体的行为检测结果(S130)。 在该方法中,可以将姿势分类结果与目标检测结果组合以执行目标行为检测,并且行为检测的速度和精度高。

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