Forward-looking sonar object tracking method based on frog-eye visual characteristic

A frog-eye vision and target tracking technology, applied in the field of image processing, can solve the problems of low resolution, strong noise, and weak texture of forward-looking sonar images

Active Publication Date: 2017-01-18
HOHAI UNIV CHANGZHOU
View PDF5 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is: the resolution of the underwater forward-looking sonar image is low, the texture is weak, the edge is blurred and the noise is strong, and the target tracking effect based on the forward-looking sonar is not good

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
  • Forward-looking sonar object tracking method based on frog-eye visual characteristic
  • Forward-looking sonar object tracking method based on frog-eye visual characteristic
  • Forward-looking sonar object tracking method based on frog-eye visual characteristic

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] The detailed content and technology of the present invention are described as follows with reference to the accompanying drawings.

[0036] The flow chart of tracking the moving target in the underwater forward-looking sonar image frame by adopting the improved spatio-temporal context method based on frog eye visual characteristics of the present invention is as follows: figure 1 As shown, the specific steps are as follows:

[0037] (1) read the forward looking sonar video image I;

[0038] (2) Using the frog-eye spatio-temporal filter operator F to convolve the forward-looking sonar video image to obtain the motion-filtered image IF;

[0039] The frog-eye spatio-temporal filter operator F used is specifically defined as follows:

[0040] F ( x , y , θ , ...

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 forward-looking sonar object tracking method based on a frog-eye visual characteristic. A frog-eye space-time filtering operator is used to carrying out convolution on a forward-looking sonar image frame so as to highlight an edge characteristic of a moving object. And an improved space-time context tracking algorithm is used to realize accurate positioning to the object. Firstly, an advantage of particle filtering global search is used to roughly estimate an object position; and then a space-time context tracking method which makes improvements on aspects of an object search scope, characteristic selection, a space context update mechanism, an object window scale update and the like is used to lock the object. Therefore, aiming at a forward-looking sonar image characteristic, the method provided in the invention possesses characteristics of high precision and high robustness and adaptability when facing interference factors of light and shade changes, a complex background, object shielding, an object scale, attitude changes, loud noises and the like during an object tracking process.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to an improved tracking algorithm for underwater forward-looking sonar video images based on motion filtering based on frog eye visual characteristics. Background technique [0002] There are a lot of resources in the ocean, and the exploration of the ocean has not only huge social significance but also strong military strategic significance. Common underwater detection technologies include optical imaging technology (underwater camera, etc.), sonar imaging technology (forward-looking sonar, etc.). Optical detection instruments can produce relatively intuitive images, but due to poor light penetration under water and weak anti-interference ability, the general detection range is between a few meters to tens of meters, and it basically fails in muddy water. Sonar imaging has the advantages of long working distance and strong penetrating ability, and is especially suitable for...

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): G01S15/66
CPCG01S15/66
Inventor 韩辉李庆武何飞佳朱文青
Owner HOHAI UNIV CHANGZHOU
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