Underwater image recognition tracking system and method

An underwater image and tracking system technology, applied in the field of computer vision, can solve problems such as blurred textures, reduced image contrast, limited effects of visual detection and recognition methods, etc., to achieve accurate dynamic geometric deformation and accurate target positioning

Active Publication Date: 2020-07-24
SHENYANG UNIV
View PDF14 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for underwater video images, due to the complexity of the water body's own environment, underwater uncertain dynamic factors, and the non-linear influence of the water body on light scattering and absorption effects during the imaging process, the underwater image quality is greatly reduced. quality, resulting in reduced image contrast and blurred textures
The effective visual detection and recognition methods on land play a limited role, and there is currently no general method that can process images in all scenarios

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
  • Underwater image recognition tracking system and method
  • Underwater image recognition tracking system and method
  • Underwater image recognition tracking system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] The specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0056] On the one hand, the present invention provides an underwater image recognition and tracking system, such as figure 1 As shown, it includes an affine transformation module 201 , a candidate frame generation module 202 and a tracking module 203 . Optionally, the system 2000 may also include a trainer 204;

[0057] The affine transformation module 201 receives an underwater video image sequence, and performs affine transformation on the images in the received image sequence to mark an affine frame on the current image frame. Underwater images can be dynamically and randomly acquired by high-definition cameras. For video images taken underwater, the quality of underwater images is greatly reduced due to the complexity of the water body's own environment, underwater uncertain dynamic factors, and the non-linear influence of the water...

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 provides an underwater image recognition tracking system and method, and relates to the technical field of computer vision. The system comprises an affine transformation module, a candidate box generation module, a tracking module and a training module. The method comprises the following steps: receiving an underwater video image sequence, and performing affine transformation on images in the received image sequence to mark an affine frame on a current image frame; on the basis of the affine box, carrying out affine transformation by using a random walk model to form M candidateboxes; inputting candidate image regions determined by the M candidate boxes into a deep convolutional neural network to obtain M scores, wherein M is an integer greater than 1; and determining the candidate box with the highest score as an object to be identified, and marking out the candidate box in the current frame as an identified and tracked object.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to an underwater image recognition and tracking system and method. Background technique [0002] In recent years, the emergence of underwater robots has further improved our ability to understand and explore the ocean, and it can replace humans to complete tasks under harsh conditions. Vision system is the core system of underwater robot application. However, for underwater video images, due to the complexity of the water body's own environment, underwater uncertain dynamic factors, and the non-linear influence of the water body on light scattering and absorption effects during the imaging process, the underwater image quality is greatly reduced. quality, resulting in reduced image contrast and blurred textures. The effective visual detection and recognition methods on land play a limited role, and there is currently no general method that can process images in all scenari...

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): G06T7/20G06T3/00
CPCG06T7/20G06T3/0006G06T2207/10016G06T2207/20081G06T2207/20084
Inventor 谢英红涂斌斌韩晓微唐璐李华
Owner SHENYANG 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