Anti-shielding infrared target tracking method

An infrared target and anti-occlusion technology, applied in image analysis, image enhancement, instruments, etc., can solve problems affected by occlusion, tracking failure, etc.

Active Publication Date: 2019-09-24
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF6 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of the problems of the above research, the purpose of the present invention is to provide an anti-occlusion infrared target tracking method, which solves the problem that the target tracking method adopted in the prior art is affected by occlusion and easily leads to tracking failure.

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
  • Anti-shielding infrared target tracking method
  • Anti-shielding infrared target tracking method
  • Anti-shielding infrared target tracking method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0123] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0124]The present invention is based on the KCF framework. After reading the image sequence, select the target in the first frame, extract the features based on Haar (Haar) and histogram of oriented gradients (HOG) and linearly fuse them to obtain the first frame template. The frame image is preprocessed, the features based on the Haar and directional gradient histogram are extracted in the search box, the kernel correlation filter is used to predict the target position, and the similarity between the target and the template is calculated. If it is greater than the threshold, the template is updated and the next frame prediction is read. position, until the last frame or the confidence is less than the threshold, and the confidence is less than the threshold, use the Kalman filter to predict the target position, the template is no longer updated...

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 an anti-shielding infrared target tracking method, solves the problem of long-time target tracking in complex environments such as attitude change and shielding, and belongs to the field of target tracking technologies and computer vision. The method comprises: reading an infrared image sequence; selecting a target in the initial frame of image in a framing manner to obtain the central position and size of the target, taking the target in the initial frame of image as a template, obtaining a second frame of image as a current frame of image, taking the template of the initial frame of image as a template of the current frame of image, and obtaining a two-dimensional cosine window according to the size of the template and the size of a cell unit; and extracting features of the template based on the direction gradient histogram and the Haar, carrying out linear fusion, initializing or updating a target model and a target regression coefficient, and obtaining a multi-layer kernel correlation filtering response graph set based on a search box in each frame of image to carry out subsequent target tracking. The method is used for infrared image target tracking.

Description

technical field [0001] An anti-blocking infrared target tracking method is used for infrared image target tracking and belongs to the field of target tracking technology and computer vision. Background technique [0002] For a long time, target tracking has been widely used in military and civilian applications. Nowadays, various monitoring equipment based on cameras have spread in many important places, such as airports, shopping malls, factories, schools, etc., which play an important role in preventing and solving security problems. , but the traditional monitoring system still has certain defects, such as being greatly affected by attitude changes, target occlusion, motion blur, scale transformation, and out of view. A good algorithm can automatically complete the tracking of people of interest, and manual power must be used. [0003] At present, target tracking methods are mainly based on regional information, such as template matching method, which is simple, accurate...

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): G06T7/246G06T7/277
CPCG06T7/251G06T7/277G06T2207/10048
Inventor 田瑛钟妤胡宏博彭真明李美惠张天放龙鸿峰彭凌冰蒲恬
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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