Method for fast robustness tracking of infrared target based on sparse representation

An infrared target and sparse representation technology, applied in the field of fast and robust infrared target tracking, can solve the problems of low contrast between the target and the background, gray features susceptible to noise, similar objects with illumination changes, etc., to achieve reduced calculation and good representation Ability to overcome the effect of light changes

Active Publication Date: 2014-01-15
WUXI TONGCHUN NEW ENERGY TECH
View PDF2 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to avoid the shortcomings of the existing technology, the present invention proposes a fast and robust infrared target tracking method based on sparse representation, aiming at the low...

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 fast robustness tracking of infrared target based on sparse representation
  • Method for fast robustness tracking of infrared target based on sparse representation
  • Method for fast robustness tracking of infrared target based on sparse representation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0024] On the basis of determining the target in the first frame, the present invention first adopts a Harr-like feature representation method based on compressed sensing to represent the target, and constructs a dictionary for sparse representation. Secondly, the candidate targets generated by the particle filter method are sparsely represented, and the representation coefficients are obtained by solving. Finally, the candidate target with the smallest reconstruction error is selected as the tracking result. The specific steps are as follows, and the process can refer to the accompanying drawings.

[0025] 1) Read the first frame of image data and the parameters [x, y, w, h] of the target block in the first frame of the image, where x, y represent the horizontal and vertical coordinates of the target center, w, h represent the width and high;

[0026] 2) The ...

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 fast robustness tracking of an infrared target based on sparse representation. Sparse solution is carried out by calculating L1 norm minimization, the reconstruction error is calculated to acquire the probability of each particle, and therefore target tracking is achieved. In view of the facts that in the method, because the number of dimensions of a dictionary is too large, considerably much time is consumed in the L1 minimization calculation process, real-time performance of an algorithm can not be met, and gray features can be easily disturbed by noise and illumination changes and similar objects, on the basis of compressive sensing, Harr-like characteristics are compressed based on a random measurement matrix, original image characteristics are well kept, and better expression ability is achieved. Because dictionary construction is carried out through characteristics based on compressive sensing, calculated amount is greatly reduced, the target can be more effectively expressed, problems like illumination changes, shielding, size changes and target deformation are solved, and fast robustness tracking of the infrared target can be achieved.

Description

technical field [0001] The invention relates to a fast and robust infrared target tracking method based on sparse representation. Background technique [0002] Infrared target tracking is the key technology in infrared early warning system, tracking system and precision guidance system. Due to the small imaging area of ​​the target at a long distance, low contrast, blurred edges, and variable size and shape, the detectable signal is relatively weak. The signal-to-noise ratio is low, making it difficult to track infrared targets in complex backgrounds. [0003] Target tracking algorithms for infrared image sequences can be roughly divided into two categories: deterministic methods and random methods. Deterministic methods, such as the Mean Shift algorithm, realize tracking by finding the optimal match of the target. This method has the advantages of good real-time performance and rapid target matching, but it is easy to fall into local extremum under occlusion and other si...

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): G06T7/00
Inventor 李映李鹏程李方轶
Owner WUXI TONGCHUN NEW ENERGY TECH
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