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

Aerial photographic target tracking method based on scale self-adaptive and shielding handling

A scale-adaptive, occlusion processing technology, applied in the field of computer vision, can solve problems such as inability to track targets, inability to solve target scale changes, tracking failures, etc., to achieve reduced redundant calculations, good robustness, and good accuracy and real-time effects

Active Publication Date: 2016-12-07
XIDIAN UNIV
View PDF3 Cites 41 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical defects of the above-mentioned moving target tracking algorithm are: both CSK and KCF trackers use a fixed size to describe the target, which cannot solve the problem of target scale change. At the same time, when the target is occluded, this type of method often fails to track. , cannot continuously track the target

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
  • Aerial photographic target tracking method based on scale self-adaptive and shielding handling
  • Aerial photographic target tracking method based on scale self-adaptive and shielding handling
  • Aerial photographic target tracking method based on scale self-adaptive and shielding handling

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The present invention will be further described below in conjunction with the accompanying drawings.

[0045] refer to figure 1 , an aerial target tracking method based on scale adaptation and occlusion processing, comprising the following steps:

[0046] (1) Input the first frame of the video, and initialize the KCF tracker according to the initial position of the target in the first frame, and initialize the current scale Scale as the initial size of the target;

[0047] (2) Mark the scale size of the current target with S: S=Scale;

[0048] (3) Read the next frame for processing, and calculate the peak Peak of the response function f(z) of the KCF tracker at the current scale S: Peak=max(f(z)),

[0049] F(f(z))=F(k xz )⊙F(α)

[0050] Among them, k xz Is the kernel function matrix constructed for the training sample x and the test sample z, F represents the discrete Fourier transform matrix, α is the tracking training parameter, f(z) is a vector containing all cy...

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 aerial photographic video tracking method based on scale self-adaptive and shielding handling. The method comprises the steps that as for each frame of input image of an aerial photographic video, the peak value of a KCF tracker response function under the current scale is calculated, whether a target is shielded is judged, updating of the tracker parameters is stopped if the judgment result is yes, or scale change detection is continued; and a large scale or a small scale is calculated through a threshold limiting method every time, the optical scale for describing the current target state is detected and the tracker parameters of the current scale are updated. The method has great robustness and real-time performance in the process of tracking the target in the aerial photographic video so that accurate and continuous tracking of the aerial photographic target can be realized.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to an aerial video tracking method in the technical field of moving target tracking. The invention can well deal with the scale change and occlusion problems in the tracking process of the aerial photography video, and realize accurate and continuous tracking of the aerial photography target. Background technique [0002] Moving object tracking is one of the key research issues in the field of computer vision, and it has a wide range of applications in the fields of visual surveillance, unmanned driving, human-computer interaction, and intelligent robots. [0003] Moving target tracking under aerial video is a special application of target tracking, and it is a key technology in tasks such as unmanned aerial vehicle reconnaissance, space-based monitoring and command, and detection of geographical disasters. Aerial video is characterized by small target size, lar...

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): G06T7/20
CPCG06T2207/10016G06T2207/20081
Inventor 田玉敏贾佩佩方敏潘蓉
Owner XIDIAN UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com