Infra red detecting and tracing method for weak target under complex background condition

A technology for weak and small targets and complex backgrounds, which is applied in the field of detection and tracking of infrared weak and small targets under complex background conditions, can solve the problems of not using the mobility of long-distance targets, difficult real-time processing, and unknown noise characteristics, etc., to achieve broad market prospects and Effects of application value, simplified tracking and data association algorithms, and improved real-time and robustness

Inactive Publication Date: 2004-07-21
SHANGHAI JIAO TONG UNIV
View PDF0 Cites 33 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] 1. The target is small and has no information such as size, shape and texture, so traditional image processing methods cannot be applied;
[0006] 2. The background is complex and the noise characteristics are unknown;
[0007] 3. The signal-to-noise ratio is low, and the target is submerged in the background noise;
[0008] 4. The amount of data is large and difficult to process in real time
[0009] Researchers at home and abroad have proposed some methods for target detection and tracking in low SNR infrared images, such as three-dimensional matched f

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
  • Infra red detecting and tracing method for weak target under complex background condition
  • Infra red detecting and tracing method for weak target under complex background condition
  • Infra red detecting and tracing method for weak target under complex background condition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] In order to better understand the technical solutions of the present invention, the implementation manners of the present invention will be further described below in conjunction with the accompanying drawings.

[0025] figure 1 It is an overall block diagram of the processing method of a detection and tracking method for small infrared targets under complex background conditions proposed by the present invention. The specific implementation details of each part are as follows:

[0026] 1. Morphological filtering to remove the mean value

[0027] The infrared image background is acquired by mathematical morphology filtering. The gray expansion and erosion of the input image f with the structural element b are respectively recorded as:

[0028] (f_b)(x,y)=max{f(x-s,y-t)+b(s,t)|(x-s),(y-t)∈D f , (s,t)∈D b} (1)

[0029] (f_b)(x,y)=min{f(x+s,y+t)-b(s,t)|(x+s),(y+t)∈D f , (s,t)∈D b} (2) where D f and d b are the domains of f and b, respectively.

[0030] Using th...

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

In the method, image background is obtained through morphology as demean value image containing target and noise can be obtained by deducting image background from original image, N/S ratio of processing result can be raised by applying pretreatment process based on elliptic paraboloid volume, sing frame detection result can be obtained by selecting detecting threshold with constant false alarm ratio standard, false target is further removed by utilizing solidity of target motion trail, target tracking applies most near neighbour coorelation method and target state is refreshed by applying kalman filtering based on uniform straight-line motion model and trail is utilized to predict possible position of target for carrying on stable tracking if target is lost.

Description

Technical field: [0001] The invention relates to a method for detecting and tracking small and weak infrared targets under complex background conditions, and is an integrated method for infrared search and tracking systems, precision guidance systems, infrared early warning systems, large field of view target monitoring systems, satellite remote sensing systems, safety inspection systems, etc. This core technology can be widely used in various military and civilian systems. Background technique: [0002] Infrared imaging technology is a non-contact testing technology, which can easily detect the invisible thermal radiation emitted by the target and convert it into a visible image technology. A key field involved in information acquisition is the research of infrared detection technology and method, and its important position has become increasingly prominent. Infrared imaging technology is favored due to its advantages of good concealment, wide detection range, high positio...

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
IPC IPC(8): G06K9/36G06T5/00
Inventor 敬忠良李建勋陈非
Owner SHANGHAI JIAO TONG 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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap