Method, device, storage medium and processor for detecting fighting behavior in video
A technology in video and behavior, applied in the field of video processing, can solve the problems of poor detection efficiency and low detection accuracy, and achieve the effect of improving detection accuracy, improving detection efficiency, and solving low detection accuracy.
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Embodiment 1
[0025] According to an embodiment of the present invention, an embodiment of a method for detecting fighting behavior in a video is provided.
[0026] figure 1 is a schematic flow chart of a method for detecting fighting behavior in a video according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:
[0027] Step S102, decoding the video to be detected to obtain multiple single-frame pictures;
[0028] Step S104, extracting and processing multiple single-frame pictures according to the preset deep learning attitude estimation model, and obtaining position information of key nodes of the human body in multiple single-frame pictures;
[0029] Step S106, obtaining multiple human skeleton sequence diagrams based on the location information;
[0030] Step S108, input multiple human skeleton sequence diagrams into the preset three-dimensional convolutional neural network abnormal behavior detection model, and obtain one...
Embodiment 2
[0060] According to another aspect of the embodiments of the present invention, a device for detecting fighting behavior in a video is also provided, such as Figure 4 As shown, the device includes: a decoding unit 401 for decoding the video to be detected to obtain multiple single-frame pictures; a processing unit 403 for extracting and processing multiple single-frame pictures according to a preset deep learning pose estimation model to obtain multiple single-frame pictures The position information of the key nodes of the human body; the acquisition unit 405 is used to obtain multiple human skeleton sequence diagrams based on the position information; the detection unit 407 is used to input multiple human skeleton sequence diagrams into the preset three-dimensional convolutional neural network abnormal behavior The detection model is used to obtain one or more preliminary detection results matching the number of multiple human skeleton sequence diagrams; the calculation unit ...
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