Target association method for multi-camera monitoring system

A target correlation and monitoring system technology, applied in parts of TV systems, image communication, color TV parts, etc., can solve problems such as complicated process and difficult to achieve real-time performance, and achieve the effect of improving computing efficiency

Inactive Publication Date: 2012-06-13
北京航空航天大学深圳研究院
View PDF4 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method is complex and difficult to achieve real-time

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
  • Target association method for multi-camera monitoring system
  • Target association method for multi-camera monitoring system
  • Target association method for multi-camera monitoring system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0028] Such as figure 1 As shown, the software modules of this system include: a target association module and a data transmission module on the server side, an image acquisition module, a target detection module, a target tracking module and a data transmission module on the client side.

[0029] Such as figure 2 As shown, the hardware equipment of this system includes: a server, multiple cameras and a computer connected to each camera.

[0030] In the system, every time a new target appears in a camera, the target detection module of the computer connected to the camera will detect the target and extract features, and mark the rectangular area where the detected target is located , calculate the color histogram for this rectangular area, and finally upload the features to the server. Since the size of the rectangular area of ​​each obse...

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 target association method for a multi-camera monitoring system. The method mainly comprises the following steps that: a minimum cost flow module based on increment realizes real-time tracking of a target object in a multi-camera covering domain; when a target appears in a camera, a target detection module of a computer connected with the camera detects the target, extracts the characteristics of the target, and finally uploads the characteristics to a server; a target tracking module on the computer continually tracks the target inside a single camera scene, extractsthe characteristics of the target at the same moment once again at certain time intervals, and uploads the characteristics to the server; and the server only calculates whether target characteristicstransmitted by the target detection module include characteristics which can be associated with the target characteristics and are transmitted by the target tracking module and the target tracking module, and returns a result to the computer. The target association method can be widely applied to an intelligent monitoring system in indoor and outdoor scenes, and has a wide market prospect and high application value.

Description

technical field [0001] The invention relates to methods such as moving target detection and target tracking in an intelligent video monitoring system, is mainly applicable to a multi-camera monitoring system, belongs to the technical field of video monitoring, and specifically relates to a target association method for a multi-camera monitoring system. Background technique [0002] With the acceleration of global urbanization, a large number of cameras have been installed in public places. Although there is a great correlation between cameras, related applications only stay on the basis of a single camera correlation algorithm. At present, the technology of collaborative monitoring between multiple cameras is still in its infancy. The current multi-camera tracking methods mainly include: [0003] 1. Multi-camera target tracking algorithm based on 3D information [0004] If the camera calibration information and the three-dimensional environment coordinate information are ...

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): H04N5/14H04N5/232
Inventor 李超王跃陈嘉晖
Owner 北京航空航天大学深圳研究院
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