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Pedestrian abnormal behavior detection method based on human skeleton

A technology of human skeleton and detection methods, applied in neural learning methods, neural architectures, instruments, etc., can solve the problems of low accuracy and poor robustness, and achieve the effect of removing interference, enhancing robustness, and improving recognition accuracy.

Pending Publication Date: 2020-08-25
XI AN JIAOTONG UNIV
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AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to provide a pedestrian abnormal behavior detection method based on the human skeleton, which solves the defects of low accuracy and poor robustness in the prior art

Method used

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  • Pedestrian abnormal behavior detection method based on human skeleton
  • Pedestrian abnormal behavior detection method based on human skeleton
  • Pedestrian abnormal behavior detection method based on human skeleton

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Experimental program
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Embodiment

[0070] Based on the human skeleton to detect abnormal pedestrian behavior, the details are as follows:

[0071] Step 1: For the input image, use the YOLOv3 target detection algorithm to calibrate the human frame of pedestrians.

[0072] Step 2: Use the RMPE framework to extract the human skeleton information from the obtained human body frame, and remove the background information. An example of a processing flow such as Figure 4 As shown, examples of running, falling, fighting, and walking are attached Figure 5 , 6 , 7, 8 shown.

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Abstract

The invention provides a pedestrian abnormal behavior detection method based on a human skeleton, and the method comprises the following steps: 1, carrying out the pedestrian detection of an image, carrying out the framing through a detection frame, and obtaining a pedestrian detection frame; 2, extracting human skeleton information from the pedestrian detection box obtained in the step 1 to obtain a human skeleton information picture, and performing background removal preprocessing on the picture; and 3, performing pedestrian abnormal behavior detection on the preprocessed human body skeletoninformation picture in the step 2 by using a multi-scale information fusion recognition network based on residual errors to obtain a four-dimensional vector corresponding to four types of actions ofhuman body abnormal behaviors; according to the method, the skeleton information and the multi-scale information are effectively utilized, the detection accuracy of the algorithm is greatly improved,the robustness of the algorithm is enhanced, and the application of the algorithm is not limited by scenes.

Description

technical field [0001] The invention belongs to the field of intelligent video monitoring, and in particular relates to a method for detecting abnormal behavior of pedestrians based on a human body skeleton. Background technique [0002] In recent years, with the development of computer technology and the increase of security requirements, intelligent video surveillance has increasingly become a research hotspot in the field of computer vision. It is very different from traditional monitoring systems in terms of intelligence. The traditional monitoring system uses cameras to record, and people are the main body to monitor and identify video content. This method not only consumes a lot of manpower and material resources, but also has a very serious problem: when people are engaged in the same job for a long time, it is easy to Fatigue and ignore some details of the information. The intelligent video surveillance system endows the machine with the ability to make autonomous d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/20G06N3/045G06F18/2415G06F18/214Y02T10/40
Inventor 吴晓军袁佳兴原盛
Owner XI AN JIAOTONG UNIV
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