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

Anti-occlusion correlation filtering tracking method and system/device based on multi-peak response

An anti-occlusion and filter technology, applied in image data processing, instrumentation, computing and other directions, can solve problems such as inability to solve the target, loss, tracking failure, etc.

Inactive Publication Date: 2019-05-28
CHINA UNIV OF GEOSCIENCES (WUHAN)
View PDF6 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The technical problem to be solved by the present invention is that, aiming at the defects of the technical problem that the target is blocked and the target is lost in the tracking target cannot be solved by the correlation filtering algorithm in the prior art, resulting in the failure of tracking, the present invention provides a multi-peak response based Anti-Occlusion Target Tracking Method

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
  • Anti-occlusion correlation filtering tracking method and system/device based on multi-peak response
  • Anti-occlusion correlation filtering tracking method and system/device based on multi-peak response
  • Anti-occlusion correlation filtering tracking method and system/device based on multi-peak response

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0077] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.

[0078] In this embodiment, the experimental software platform uses MATLAB2016a, and VS2015 and Matconvent library files are configured. The operating environment is Intel Core i5-6500CPU, the main frequency is 3.2GHz, and the memory is 8GB. The average tracking speed of the present invention is 36.0FPS, which can meet the real-time requirement.

[0079] Please refer to figure 1 , which is an overall flowchart of an anti-occlusion correlation filter tracking method based on multi-peak responses disclosed in the present invention; wherein, a multi-modal response-based anti-occlusion target tracking method disclosed in the present invention specifically includes the following steps:

[0080] S1: Read the image data at ti...

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 anti-occlusion correlation filtering tracking method and system / device based on multi-peak response. When a target is occluded, most correlation filtering tracking algorithms generate false tracking, an object which occluds the target is regarded as the target, and then a template is updated, so that a model drifts, and finally the tracking fails. According to the anti-occlusion related filtering tracking method, whether a current frame target is occluded or not is detected firstly, and template updating of the current frame is stopped under the condition that it isjudged that the current frame target is occluded early, so that wrong information cannot be learned, and model drifting is prevented. Secondly, an occlusion processing mechanism is added in the anti-occlusion correlation filtering tracking method, the optimal target position of the current frame is found out, when the target appears again, tracking is still correct, and therefore the accuracy androbustness of the tracking algorithm are further improved.

Description

technical field [0001] The present invention relates to the field of computer vision tracking, and more specifically, to an anti-occlusion correlation filter tracking method and system / device based on multi-peak responses. Background technique [0002] Target tracking algorithm is an important technical means for processing video image information in computer vision, and has a wide range of application scenarios, such as robots, video surveillance, intelligent transportation, etc. In recent decades, researchers have proposed a variety of excellent target tracking algorithms, but target tracking in practical environments still faces a series of challenges. In the process of target tracking, it is necessary to face the challenges of fast moving targets, complex backgrounds, occlusions, lighting changes and other uncertain factors, which often lead to tracking failures and require high robustness of tracking algorithms. [0003] Generally speaking, target tracking can be divid...

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): G06T7/246
Inventor 魏龙生孙加乐刘玮汪敏
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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