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

Method for improving particle filter tracking effect

A particle filter and particle technology, applied in image data processing, instruments, calculations, etc., to achieve the effect of overcoming left and right or up and down shaking, and tracking stability

Inactive Publication Date: 2010-12-22
北京市文化科技融资租赁股份有限公司
View PDF0 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to aim at the defects of the existing particle filter tracking method, to provide a method that can improve the effect of particle filter tracking, so that the particles can converge to the best position and ensure the stability of tracking

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
  • Method for improving particle filter tracking effect
  • Method for improving particle filter tracking effect
  • Method for improving particle filter tracking effect

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0030] The method provided by the present invention mainly uses particle filter, uses RGB color histogram to calculate the similarity weight, and finally evaluates the real position of the target in the next frame. The specific process is as figure 1 shown, including the following steps:

[0031] (1) For the tracking target, randomly select N particle samples from a group of probability samples in the previous frame at time t.

[0032] The number N of particles is used to determine how many randomly distributed particles are used to calculate the color histogram, and the number N of particle samples in the present invention is 100. This can solve the degeneration phenomenon (Degeneracyphenomenon), because, after several iterations, the weights of other particles except one particle become very small, the variance of the weight increases wit...

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 belongs to a video and image processing technique and particularly relates to a method for improving particle filter tracking effect. In the method, the probability redistribution of particles at a moment t is performed by computing the moving speed of a tracked target at a moment t-1 so as to make sure that the particles can be converged to an optimal position; and comparing the quadratic sum of the gray level difference of a particle tracking result position with the quadratic sum of the gray level difference of an area taking an input position at the moment t-1 as a center, wherein the position with the smallest quadratic sum of the gray level difference is used as the output result of the new position of the tracked target, the tracking stability is ensured, and a drawback of the left and right or up and down fluctuation of the tracking result in target tracking of the conventional method is overcome.

Description

technical field [0001] The invention belongs to video and image processing technology, and in particular relates to a method for improving particle filter tracking effect. Background technique [0002] In the image / video post-processing software, the pixel feature area of ​​the moving image is tracked, and the tracking data can be used to control the movement of other objects and stabilize the moving object, which has a wide demand. The feature points can be tracked quickly by using the particle filter tracking method, which has good real-time performance and good anti-interference performance. [0003] The basic idea of ​​the particle filter used in the particle filter tracking algorithm comes from the Perfect MonteCarlo (PMC) simulation. In PMC, the mathematical expectation of any function: E(g(x 0:K ))=∫g(x 0:K )P(x 0:K |z 1:k )dx 0:k can be approximated as where discrete samples is the independently distributed identically distributed sequence of N points genera...

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 Applications(China)
IPC IPC(8): G06T7/20
Inventor 刘铁华郑鹏程见良孙季川
Owner 北京市文化科技融资租赁股份有限公司
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