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Falling abnormal behavior identification method based on law enforcement and case handling area scene

A recognition method and scene technology, applied in biometric recognition, neural learning method, character and pattern recognition, etc., can solve the problems of inability to accurately recognize falling behavior and easy false detection, so as to avoid false detection and reduce false detection rate. , improve the recognition effect

Pending Publication Date: 2020-04-28
GOSUNCN TECH GRP
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Problems solved by technology

And for the scene in the law enforcement case handling area, when the person is at the edge of the image or bends over or sits on the ground and only part of the human body is detected, the existing technology is prone to false detection and cannot accurately identify the shortcomings of the falling behavior

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  • Falling abnormal behavior identification method based on law enforcement and case handling area scene
  • Falling abnormal behavior identification method based on law enforcement and case handling area scene
  • Falling abnormal behavior identification method based on law enforcement and case handling area scene

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Embodiment Construction

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0039] This technical solution proposes a detection method based on key points of the human body, and its overall algorithm includes three parts: human body detection, key point positioning of the human body, and classification model. According to the overall recognition steps, it can be divided into four parts: two-dimensional image data acquisition, human body detection based on deep learning, human body key point positioning, and falling behavio...

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Abstract

The invention belongs to the technical field of abnormal behavior analysis, and particularly relates to a falling abnormal behavior identification method based on a law enforcement and case handling area scene, and the method can be divided into four parts of two-dimensional image data acquisition, human body detection based on deep learning, human body key point positioning and falling behavior identification. The method comprises the following steps: (1) acquiring video image data in a law enforcement and case handling scene through a camera; (2) obtaining a coordinate position of a human body detection frame through a target detection network; (3) obtaining the position of each key point of the human body by using a human body key point detection network for each human body frame, and (4) inputting each human body detection frame into a classification network for dichotomy to judge whether a person falls to the ground, thereby improving identification effect and identification precision.

Description

technical field [0001] The invention belongs to the technical field of abnormal behavior analysis, and in particular relates to a method for identifying abnormal behavior of falling to the ground based on the scene of a law enforcement case handling area. Background technique [0002] Existing technology: Aiming at the recognition method of falling behavior in the scene of law enforcement and case handling area, a high recognition rate is required to prevent the life-threatening situation of people falling to the ground in the activity area. However, the existing judgment process of falling behavior recognition is generally: (1) acquisition of image data; (2) image data processing to obtain human body image or its features; (3) feature classification to identify falling behavior. [0003] For different steps, there are different methods for identifying down behavior. In the first stage, the two-dimensional or three-dimensional image data of the human body can be obtained th...

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/10G06V10/25G06N3/045G06F18/241G06F18/2415
Inventor 冯家辉毛亮林焕凯周谦汪刚
Owner GOSUNCN TECH GRP
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