Target Tracking Algorithm Based on Spatiotemporal Perceptual Correlation Filtering

A technology of target tracking and correlation filtering, applied in computing, image analysis, instruments, etc., can solve problems such as instability, template drift, and large sample dependence.

Active Publication Date: 2021-07-06
ARMY ENG UNIV OF PLA
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The above algorithm has been innovated and improved for the correlation filter target tracking algorithm, but there are still the following problems: the accuracy and robustness of target tracking need to be further improved; the filter template adopts a linear real-time update strategy, which will cause template drift when the target is occluded , and this update method causes the tracking process to rely more on the most recent samples, so long-term tracking will increase instability

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 Algorithm Based on Spatiotemporal Perceptual Correlation Filtering
  • Target Tracking Algorithm Based on Spatiotemporal Perceptual Correlation Filtering
  • Target Tracking Algorithm Based on Spatiotemporal Perceptual Correlation Filtering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0056] Such as figure 1 As shown, a target tracking algorithm based on spatio-temporal perceptual correlation filtering, this method reads images one by one in the image sequence (the image sequence can be the sequential photos captured by the shooting device, or the sequential video frames extracted from the video), And perform the following steps on the image:

[0057] Step 1: Obtain the position and scale of the target in the current image; the specific method is:

[0058] (101) Read the image, and judge whether the current image is a three-channel color image. If the current image is a three-channel color image then C l = 1, otherwise C l = 0;

[0059] (102) According to the image information, obtain the target p...

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 time-space perception-based correlation filtering target tracking method, which relates to the field of image processing target tracking. This method follows the idea of ​​reading the target image, extracting target features, training filter templates, extracting target multi-scale features, and determining the scale and position in the new image of the target to track the target. The structural framework and target features of the correlation filtering target tracking algorithm The extraction method has been optimized and improved, which makes this method have obvious advantages compared with traditional algorithms in terms of tracking robustness and accuracy. This method can enhance the robustness and accuracy of correlation filtering target tracking, solve the model drift problem caused by linear update of the template, improve the long-term tracking effect of correlation filtering target tracking, and at the same time ensure the real-time performance of target tracking. An important improvement in the.

Description

technical field [0001] The invention relates to the technical field of computer vision and image processing target tracking, in particular to a target tracking algorithm based on spatio-temporal perception correlation filtering. Background technique [0002] With the development of computer vision technology, target tracking technology has gradually become a hot research issue, and it has been more and more widely used in fields such as computer vision and so on. However, target tracking is still a difficult problem due to factors such as target deformation, occlusion and background interference in target tracking. In recent years, correlation filtering target tracking has attracted extensive attention due to its high speed and good robustness. [0003] Foreign scholars have conducted in-depth research in this field: Bolme et al. applied correlation filtering to the field of target tracking for the first time, trained the target correlation filter template by minimizing the...

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 Patents(China)
IPC IPC(8): G06T7/246
CPCG06T7/246
Inventor 胡永江葛宝义李爱华褚丽娜李永科张玉华赵月飞
Owner ARMY ENG UNIV OF PLA
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