Method for detecting masked person in monitoring video

A masked person detection and video monitoring technology, applied in the field of image processing and pattern recognition, can solve problems such as intrusion by criminals, inappropriateness, property security threats, etc., and achieve high accuracy, high applicability and robustness Effect

Active Publication Date: 2015-05-27
HUIZHOU UNIV
View PDF4 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for unguarded places, property safety is still seriously threatened. Even if there are monitors, it often happens that the guards are negligent and overlooked, allowing criminals to break in
However, it is obviously not suitable if some small animals enter by mistake or the staff passes by, and the monitoring system also sends out an alarm.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for detecting masked person in monitoring video
  • Method for detecting masked person in monitoring video
  • Method for detecting masked person in monitoring video

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] The embodiments of the present invention will be further described below in conjunction with the accompanying drawings, but the implementation of the present invention is not limited thereto.

[0022] Such as figure 1 As shown, a masked person detection method in a monitoring video of the present invention mainly includes the following steps:

[0023] A method for detecting a masked person in a surveillance video, comprising the following steps:

[0024] S100: Obtain a video stream;

[0025] S200: Using the video stream acquired in S100 to construct a background model by using a mixed Gaussian model;

[0026] S300: Obtain one frame of images sequentially from the video stream, and use the background model constructed by S200 to obtain a moving foreground image, and update the background model;

[0027] S400: Perform morphological processing on the binary foreground image acquired in S300; the morphological processing is to first perform an opening operation on the ex...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method for detecting a masked person in a monitoring video. The method comprises the following steps: firstly, performing background modeling by using a Gaussian mixture model, extracting a moving object, and then performing person detection on the moving object to judge whether the moving object is a person or not; secondly, performing face recognition on the judged person, and if a face cannot be normally recognized, determining that the person is a suspicious person such as a masked person. The method is applicable to change of an external environment, and a detection result has a relatively high accuracy rate.

Description

technical field [0001] The invention generally relates to the fields of image processing and pattern recognition, and in particular to an automatic detection method for a masked person in a video. Background technique [0002] Video surveillance is an important part of the security system, and it is a defense system with strong capabilities. Video surveillance is widely used in different occasions due to its advantages of intuitiveness, accuracy, speed, information and rich content. In recent years, driven by the rapid development of computer, network and image processing and transmission technology, monitoring technology has also made great progress . However, for unguarded places, property safety is still seriously threatened. Even if there are monitors, there are often situations where guards are negligent and overlooked, allowing criminals to break in. However, it is obviously not suitable if some small animals enter by mistake or the staff passes by, and the monitorin...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 蔡昭权黄翰易春阳刘志方胡音文
Owner HUIZHOU UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products