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System and method for detecting falling behaviors from monitoring video

A technology for monitoring video and behavior, applied in instruments, biological neural network models, calculations, etc., can solve problems such as additional wearable devices, additional installation of monitoring equipment, and low detection accuracy

Active Publication Date: 2021-01-12
CHENGDU UNIV OF INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the above-mentioned deficiencies in the prior art, the present invention provides a system and method for detecting fall behavior from surveillance video, which solves the problem that the fall detection system in the prior art requires additional wearable equipment, the detection accuracy is not high, and additional monitoring is required. Equipment defects and deficiencies

Method used

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  • System and method for detecting falling behaviors from monitoring video
  • System and method for detecting falling behaviors from monitoring video
  • System and method for detecting falling behaviors from monitoring video

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Embodiment 1

[0085] like figure 1 As shown, the present invention provides a kind of system that detects falling behavior from surveillance video, comprises key frame extraction module, pedestrian detection module, human body key point detection module, continuous gesture feature encoding module and output module connected in sequence; Key frame extraction The module is used to obtain the monitoring video stream and extract the video frame; the pedestrian detection module is used to construct the pedestrian detection model and set the detection frame interval in the pedestrian detection model. According to the image of each video frame, the pedestrian detection model is used to monitor the picture Pedestrians in the pedestrian area are divided into sub-graphs of the human body area; the human body key point detection module is used to construct a key point detection model, and use the key point detection model to extract the human body key points of pedestrians from the human body area sub-...

Embodiment 2

[0088] Example 2, such as figure 2 As shown, the present invention provides a kind of method that detects falling behavior from monitoring video, comprises the following steps:

[0089] S1. Obtain a surveillance video stream and extract video frames;

[0090] S2, build pedestrian detection model, its implementation method is as follows:

[0091] S201, labeling image data for pedestrian detection training;

[0092] S202. According to the image data, based on the YOLOv3-tiny model, set the input image size to 448×448, the output category to 1, and the maximum training batches to 6000;

[0093] S203, using the pre-trained network parameters of the Darknet network to initialize the YOLOv3-tiny model;

[0094] S204, using the transfer learning method and the pedestrian detection data to train the YOLOv3-tiny model to obtain the pedestrian detection model;

[0095] S3, setting the detection frame interval in the pedestrian detection model, and according to the image of each video...

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Abstract

The invention, which belongs to the technical field of video monitoring, provides a system and method for detecting a falling behavior from a monitoring video. The system comprises a key frame extraction module, a pedestrian detection module, a human body key point detection module, a continuous attitude feature coding module and an output module that are connected successively. The method for detecting the falling behavior from the monitoring video comprises four parts of pedestrian detection from a monitoring picture, human body key point detection and attitude estimation, human body attitude image feature coding in a continuous time domain and a falling behavior classifier based on a CNN convolutional neural network. The detection system overcomes the defects that a falling behavior detection system in the prior art needs extra wearable equipment, is low in detection precision and needs extra monitoring equipment, is low in cost, does not need extra monitoring equipment, analyzes action behaviors of a human body from a video shot by an existing common monitoring camera, and detects whether a falling behavior occurs is detected.

Description

technical field [0001] The invention belongs to the technical field of video monitoring, and in particular relates to a system and method for detecting a fall behavior from a monitoring video. Background technique [0002] A fall is defined as a sudden change in body position, an involuntary fall to the ground or a lower level. Falling behavior is also a very common accident in daily life. It has a very high probability of occurring in various groups of people and may cause some fatal injuries, such as cerebral hemorrhage and fractures. If not treated in time, Permanent injury, even death, will result to the person who falls. At present, the methods of fall behavior detection mainly include three categories: wearable device-based fall detection systems, acoustic-based fall detection systems, and video surveillance-based fall detection systems. [0003] Fall detection systems based on wearable devices usually require people to wear a device equipped with motion sensors, suc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V40/23G06V20/52G06V2201/07G06N3/045G06F18/214G06F18/241
Inventor 许源平张朝龙冯暄许志杰曹衍龙卢军黄健咬登国石雅静许曹荣王万婷
Owner CHENGDU UNIV OF INFORMATION TECH
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