Gray target tracking method based on self-adaptive window

A target tracking and self-adaptive technology, applied in image data processing, instrumentation, computing, etc., can solve the problem of difficult expansion of the tracking window size, and achieve good effect, simple calculation, and fast speed

Inactive Publication Date: 2014-09-10
GUANGDONG UNIV OF TECH
View PDF3 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the target size becomes smaller, this method can get a better tracking effect, but when the target size becomes larger, since the similarity measure of the Bhatt...

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
  • Gray target tracking method based on self-adaptive window
  • Gray target tracking method based on self-adaptive window
  • Gray target tracking method based on self-adaptive window

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] Such as figure 1 As shown, an adaptive window-based grayscale target tracking method includes the following steps:

[0035] (1) Determine the target template:

[0036] Initialize the position of the tracking target and the size of the tracking window . In this paper, the target template is represented by a rectangle, and the target state is expressed as: ,in, Respectively represent the speed of the target center in the x and y directions of the image;

[0037] (2) Mixed histogram feature extraction:

[0038] The gray value is the most intuitive information of the gray image, and the vector Indicates the grayscale histogram of the image, and N is the interval number of the grayscale of the image.

[0039] In image processing, there are many relative spatial processing methods to highlight the details of the image. The commonly used methods are gradient method and so on. As shown below, the differential form of discrete points is used in image processing t...

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 gray target tracking method based on a self-adaptive window and mainly aims at solving the problem of real-time size change of a self-adaptive target. The method comprises the steps of (1) determining a target template, (2) extracting characteristics of a mixed histogram, (3) initializing a particle point set, namely setting the sampled particle number N and initializing particle weights, (4) updating the state of the particle point set, (5) observing the particle point set, (6) estimating the state of the target, (7) tracking a window scaling, and (8) resampling. Under a particle filter tracking framework, the movement target template is determined, the state transition equation of the movement target is established, the particle set target window is initialized, the particle set of next moment is predicted, the weight of a likelihood function is calculated, a tie distance between high-weight particles and the center of the particle set is calculated, and the window size is adjusted linearly according to d. The self-adaptive adjustment of the tracking window is realized; compared with similar methods, the method has the advantages of simple calculation, high speed and good effect.

Description

technical field [0001] The invention relates to the technical field of video target tracking, in particular to a grayscale target tracking method based on an adaptive window. Background technique [0002] Target tracking is an important branch of machine vision research and the basis of advanced machine vision research. It has a wide range of applications, such as military guidance, road traffic monitoring, industrial automation production monitoring, passenger flow statistics, etc. Among the many tracking algorithms proposed by people, particle filter-based and Mean-Shift algorithms are research hotspots. In both algorithms, the target tracking window is determined by the initial size of the tracking target, and the size of the tracking window remains constant throughout the tracking process. However, when the size of the moving target becomes smaller and smaller, if the tracking window is fixed, some background noise will be mixed in while the target area is included in 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): G06T7/20
Inventor 蔡延光向周蔡颢
Owner GUANGDONG UNIV OF 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