Check patentability & draft patents in minutes with Patsnap Eureka AI!

Fighting behavior detection method based on geographic video

A detection method and geographic video technology, applied in neural learning methods, geographic information databases, image data processing, etc., can solve problems such as lack of early warning, undetectable fighting behavior, and complex correspondence between pictures and real scenes, etc., to achieve expanded perception area effect

Pending Publication Date: 2022-02-18
ENG UNIV OF THE CHINESE PEOPLES ARMED POLICE FORCE
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Specifically, today's behavior detection faces two key challenges: 1. It is impossible to detect the fighting behavior in the monitoring scene, and it lacks early warning; 2. With the widespread deployment of surveillance cameras, there is a gap between the picture and the real scene. Complicated correspondence

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
  • Fighting behavior detection method based on geographic video
  • Fighting behavior detection method based on geographic video
  • Fighting behavior detection method based on geographic video

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] The present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments. Apparently, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0041] The present invention provides a method for detecting fighting behavior based on geographic video, see figure 1 ,include:

[0042] Step 1: Construct a behavior detection model to realize automatic detection of fighting behaviors that occur in the surveillance video, and output behavior categories and pixel coordinates;

[0043] Step 2: Obtain the remote sensing image map of the target area in advance by means of aerial photography;

[0044] Step 3: Obtain the internal reference matrix of the camera through the Zhang Zhengyou c...

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 fight behavior detection method based on a geographic video. The method comprises the following steps: firstly detecting a fight behavior in a video image through employing a behavior detection algorithm based on deep learning, and outputting the position information of a behavior main body in an image coordinate system; mapping position information in the image coordinate system to a world coordinate system, and mapping dynamic information obtained by the deep learning model to a static geographic space; and finally, automatically marking the position information of the behavior subject in the remote sensing image to complete visualization. Through fusion and visual design of fight behavior detection and geographic videos, position information in a monitoring picture can be accurately mapped to a geographic space, global mastering of the safety condition of a monitoring scene is facilitated, automatic detection of fight behaviors is achieved, detection information is mapped to the geographic space, and automatic plotting is achieved in a remote sensing image map.

Description

technical field [0001] The invention belongs to the field of computer information technology, relates to the field of deep learning and visual SLAM, in particular to a method for detecting fighting behavior based on geographical video. Background technique [0002] The development direction of the intelligent monitoring system has shifted from simple face recognition and vehicle recognition to more complex binary classification and multi-classification problems. [0003] The interdisciplinary integration of deep learning and surveying and mapping can map the fragmented image space information into geographic space, and construct a hypermedia map that can dynamically perceive the monitoring area, which is helpful for the overall grasp of the area. Using deep learning to process surveillance video can effectively solve the shortcomings of traditional video surveillance systems, automatically identify sudden events in the surveillance area, and equip surveillance cameras with i...

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): G06V20/52G06V10/764G06V10/82G06K9/62G06N3/04G06N3/08G06T7/20G06T7/30G06T7/80G06F16/29G06T17/05
CPCG06N3/08G06T7/20G06T7/30G06T7/80G06T2207/10016G06T2207/20081G06T2207/20084G06T2207/30232G06F16/29G06T17/05G06N3/045G06F18/241
Inventor 梁起明程传奇崔翛龙李永郭少哲张友善丁丽娟
Owner ENG UNIV OF THE CHINESE PEOPLES ARMED POLICE FORCE
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More