Target tracking method and system based on twin network and motion selection mechanism

A twin network and selection mechanism technology, applied in the field of target tracking, can solve the problems of accurately describing the target position and tracking speed trade-off, affecting the tracking accuracy, and cannot effectively infer the accurate position, so as to improve sampling efficiency and ensure real-time performance, strong robustness

Active Publication Date: 2019-03-29
SOUTHEAST UNIV
View PDF3 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Classical deep learning-based methods perform well in the field of target tracking, including MDNet, SINT, SiamFC, etc., but they usually cannot achieve a good balance between accu

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
  • Target tracking method and system based on twin network and motion selection mechanism
  • Target tracking method and system based on twin network and motion selection mechanism
  • Target tracking method and system based on twin network and motion selection mechanism

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] In order to make the object, technical scheme and advantages of the present invention clearer, the following in conjunction with the following examples and description figure 1 The technical solution of the present invention is clearly and completely described. Obviously, the specific embodiments described here are only used to explain the present invention, and are not intended to limit the present invention.

[0051] Those skilled in the art can understand that, unless otherwise defined, all terms (including technical terms and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It should also be understood that terms such as those defined in commonly used dictionaries should be understood to have a meaning consistent with the meaning in the context of the prior art, and will not be interpreted in an idealized or overly formal sense unless defined as herein Explanation.

[0052]...

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 target tracking method based on a twin network and an action selection mechanism. This method is based on twin network. Firstly, a large amount of external video data is usedto train the weights of the network. After training, In any video, in the case of specifying any of the tracking targets, the candidate area is collected and input to the twin network, the feature ofthe candidate region which is most similar to the tracking target is selected according to the action selection mechanism, and the features are mapped back to the position of the original image in the way of rectangular box as the tracking result of the current frame, the final rectangular box can be any aspect ratio and size. The invention also provides a target tracking system based on a twin network and an action selection mechanism, Compared with the traditional method, the invention utilizes the trained twin network and combines the outputs of different layers to match the characteristics of different layers of the target, so that the invention has stronger robustness to the appearance change of the target, meanwhile, the invention has the advantages of real-time and high precision.

Description

technical field [0001] The invention relates to a target tracking method and system, belonging to the technical fields of image processing, computer vision and deep learning. Background technique [0002] Target tracking usually refers to single target tracking. Its task is to specify a tracked target in a certain frame of a video, and infer the position of the target in subsequent frames. Object tracking is one of the classic problems of computer vision, and it has great application scenarios in security monitoring, unmanned driving, and human-computer interaction. The difficulty of tracking is that we have too little information about the tracked target. When the appearance of the target changes, or is disturbed by factors such as lighting, occlusion, and motion blur, it is easy to lose the target. [0003] Traditional object tracking methods are not robust enough, nor adaptable enough to changes in object appearance. The target tracking method based on deep learning mak...

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): G06K9/00G06K9/46G06N3/04G06N3/08G06T7/10G06T7/246G06T7/73
CPCG06N3/084G06T7/10G06T7/246G06T7/73G06V20/40G06V10/44G06N3/045
Inventor 张毅锋张卓翼
Owner SOUTHEAST 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