Target tracking method based on multi-characteristic adaptive fusion and kernelized correlation filtering technology

A technology of kernel correlation filtering and target tracking, applied in the field of computer vision, can solve the real-time struggle of tracking and increase the computational burden, etc.

Inactive Publication Date: 2017-11-03
NANJING UNIV OF SCI & TECH
View PDF3 Cites 37 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, the traditional discriminative methods have an important flaw, that is, in order to enhance the discriminative ability, a large numbe...

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 based on multi-characteristic adaptive fusion and kernelized correlation filtering technology
  • Target tracking method based on multi-characteristic adaptive fusion and kernelized correlation filtering technology
  • Target tracking method based on multi-characteristic adaptive fusion and kernelized correlation filtering technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0059] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. The present invention is based on the target tracking method of multi-feature adaptive fusion and kernel correlation filter technology, the method is mainly divided into four steps, the first step is multiple feature extraction and fusion; the second step is target detection, including position estimation and scale estimation; The third step is to train the model according to the current detected target position and scale; the fourth step is to update the model using a simple linear interpolation method. combine figure 1 ,Specific steps are as follows:

[0060] Step 1, input the t-th frame image, if t=1, go to step 6, otherwise go to the next step;

[0061] Step 2, according to the target position p tracked in the t-1th frame t-1 and scale s t-1 , to obtain the candidate area z of the target motion t ;

[0062] Step 3, extract the...

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 provides a target tracking method based on multi-characteristic adaptive fusion and kernelized correlation filtering technology. The method comprises steps of according to target position and the dimension of the previous frame tracking, acquiring a candidate region of target motion; extracting histogram characteristics and color characteristics in the gradient direction of the candidate region, fusing the two kinds of characteristics, carrying out Fourier transform so as to obtain a characteristic spectrum and then calculating kernelized correlation; determining the position and the dimension of the target at the current frame, and acquiring a target region; extracting histogram characteristics and color characteristics in the gradient direction of the target region, fusing the two kinds of characteristics, carrying out Fourier transform so as to obtain a characteristic spectrum and then calculating kernelized self-correlation; designing the adaptive target correlation and training a position filter model and a dimension filter model; and using a linear interpolation method to update the characteristic spectrums and the related filters. According to the invention, the discrimination capability of the models is improved; robustness of the target tracking of the target in a complex scene and the appearance change is improved; calculation complexity is reduced; and tracking timeliness is improved.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a target tracking method based on multi-feature adaptive fusion and kernel correlation filtering technology. Background technique [0002] Target tracking is an important research content in the field of computer vision. Target tracking is mainly based on the position of the target in the first frame or the first few frames of the video to estimate the trajectory of the target in the subsequent sequence. At present, there are two main categories of target tracking technologies: [0003] (1) Generative method: This method mainly uses the generative model to describe the appearance characteristics of the target, and finds the most similar target appearance in the subsequent sequence, that is, minimizes the reconstruction error by searching for candidate targets. More representative algorithms include sparse coding, online density estimation and principal component analysis (PCA). T...

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): G06T7/246G06T7/262G06T7/269G06K9/62
CPCG06T7/248G06T7/262G06T7/269G06T2207/10016G06T2207/20081G06T2207/20004G06T2207/20056G06F18/253
Inventor 练智超刘忠耿李杨濮柯佳肖亮
Owner NANJING UNIV OF SCI & TECH
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