Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

An unmanned ship sea area target tracking method based on a TLD algorithm

A target tracking and unmanned ship technology, applied in computing, image data processing, instruments, etc., can solve the problems of unsatisfactory tracking effect and increased detector screening time, so as to improve the tracker effect and realize fast Fourier diagonalization , to ensure the effect of accuracy and robustness

Inactive Publication Date: 2019-06-14
SOUTH CHINA UNIV OF TECH
View PDF4 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The sliding window method is simple and fast, but generates a large number of windows to pass into the detection stage
The detection module consists of three parts cascaded detection, and the large number of candidate frames leads to an increase in the screening time of each layer of the detector
The tracking module of the TLD algorithm uses a simple median optical flow tracking algorithm, and only uniformly selects points as feature points for tracking. The tracking effect is not ideal when the unmanned ship is reflected by the sea surface and the illumination changes greatly.

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
  • An unmanned ship sea area target tracking method based on a TLD algorithm
  • An unmanned ship sea area target tracking method based on a TLD algorithm
  • An unmanned ship sea area target tracking method based on a TLD algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0025] This embodiment provides a TLD algorithm-based unmanned ship sea area target tracking method. The tracking method uses the TLD algorithm framework as the basis of the target tracking algorithm, executes through a detection module, a tracking module, and a learning module, and maintains an online template pair Target information is saved; such as figure 1 shown;

[0026] Among them, the detection module uses the Selective Search algorithm to process the image, generate candidate frames, input them to the cascade classifier for screening, and output the candidate frames that finally pass through the three classifiers as the detection result; the flow diagram of the detection module is as follows figure 2 shown;

[0027] The tracking module uses the correlation filter tracking algorithm to track. Through the target information in the initial frame, the response value is set to Gaussian distribution, the image features are extracted by the HOG algorithm, and multiple targ...

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 unmanned ship sea area target tracking method based on a TLD algorithm. According to the tracking method, a TLD algorithm framework is used as the basis of a target trackingalgorithm, the information of a target is executed and maintained through a detection module, a tracking module and a learning module, and an online template is stored, so that the repositioning function of the unmanned ship under the condition that the target in a sea area is lost is realized. The target candidate box generation algorithm uses a Selective Search algorithm based on region namingto generate candidate boxes with fewer numbers and more accurate proportions; the tracking module uses a tracking method based on correlation filtering, so that the tracking effect is improved, and the tracking speed is ensured. The accuracy and robustness of the tracking system are effectively improved under the condition that the illumination and the shape of the sea area target of the unmannedship change greatly.

Description

technical field [0001] The invention relates to the technical field of unmanned ship local obstacle avoidance target tracking technology, in particular to a TLD algorithm-based unmanned ship sea area target tracking method. Background technique [0002] With the development of artificial intelligence technology, network communication, and sensor technology, various technologies in the field of modern unmanned ship research are also becoming more and more perfect. The application fields of fully autonomous unmanned ships continue to expand, with broad application prospects and huge commercial potential. Specifically, it can be applied to the transportation of goods and resources in sea areas, sea surface patrol search and rescue, military surveillance and reconnaissance, marine surveying and mapping and hydrological monitoring, etc. [0003] The TLD (Tracking-Learning-Detection) algorithm was proposed by Zdenka Kalal. Compared with ordinary tracking algorithms, the TLD algor...

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): G06T7/246
Inventor 刘艳霞陈欣佳洪晓斌
Owner SOUTH CHINA UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products