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

Image tracking method and system thereof

An image tracking and target image technology, applied in the field of image tracking, can solve problems such as tracking failure and loss of spatial position information

Active Publication Date: 2009-07-01
中星智能系统技术有限公司
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the target tracking algorithm based on histogram matching, there are many implementation methods in the prior art, such as the Meanshift target tracking algorithm, and the target tracking algorithm based on global search, etc., but in these algorithms, when calculating the histogram of each search window When drawing, due to the characteristics of the histogram, the spatial position information of each pixel will be lost in the statistical process. When there is an object with a similar color to the target in the tracking area, it is easy to cause tracking failure.

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
  • Image tracking method and system thereof
  • Image tracking method and system thereof
  • Image tracking method and system thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0083] figure 1 It is a flow chart of the image tracking method in Embodiment 1 of the present invention. Such as figure 1 As shown, the process includes the following steps:

[0084] Step 101, determine the current search window.

[0085] In this step, the current search window may be determined according to the selection method in the prior art, or other methods may be used to determine the current search window.

[0086] For example: the tracking area can be set in the current frame image in advance, and the current search window can be determined in the entire tracking area. Alternatively, the current search window may also be determined among several preset search windows.

[0087] In this embodiment, if a tracking area is set in the current frame image, there are multiple methods for setting the tracking area. One of them may be: first obtain the predicted position of the target through position prediction, and then set the entire tracking area of ​​the target accor...

Embodiment 2

[0145] image 3 It is a flow chart of the image tracking method in Embodiment 2 of the present invention. Such as image 3 As shown, the process includes the following steps:

[0146] Step 301, determine the current search window in the entire tracking area of ​​the current frame image.

[0147] In this embodiment, the tracking area can be set in the current frame image, then the method of determining the current search window in the entire tracking area in this step can be compared with figure 1 The description in step 101 shown is consistent.

[0148] Step 302, calculate the global histogram of the current search window.

[0149] In this step, the method of calculating the global histogram is the same as figure 1 The method for calculating the histogram described in step 103 is the same. And the global histogram here can be a color histogram, or a color histogram combined with a gradient direction histogram, or a gradient direction histogram, etc.

[0150] Step 303, m...

Embodiment 3

[0179] The image tracking method in this embodiment may be consistent with the image tracking method in Embodiment 1, and may also be consistent with the image tracking method in Embodiment 2. The difference is:

[0180] In order to reduce the number of calculations of the histogram, improve the operation speed, and ensure the real-time performance of the tracking, in this embodiment, the histogram (including the block histogram and the global histogram) described in the first embodiment and the second embodiment is adopted Figure 5 The method shown is calculated, Figure 5 It is a flow chart of the histogram calculation method in Embodiment 3 of the present invention, and the process includes the following steps:

[0181] Step 501, pre-calculate the area integral histogram of the entire tracking area.

[0182] Wherein, when calculating the area integral histogram of the entire tracking area, the histograms of all areas in the entire tracking area with a preset corner of th...

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 image tracking method. A target image is divided into blocks, and the block histogram of each block of the target image is calculated. In the method, each search window is divided according to the block mode corresponding to the target image Perform block to obtain the sub-window of each search window; calculate the histogram of each sub-window, match the obtained histogram of each sub-window with the block histogram of the corresponding block of the target image, and obtain the block of each sub-window Matching degree: According to the block matching degree of each sub-window in each search window, the matching result of each search window is obtained, and the tracking position of the target image is determined according to the matching result. In addition, the invention also discloses an image tracking system. The method and system disclosed in the present invention avoid the tracking failure caused by losing the spatial position information of each pixel in the statistical process, and further ensure the tracking effect.

Description

technical field [0001] The invention relates to image tracking technology, in particular to an image tracking method and system. Background technique [0002] In the current image tracking technology, the target tracking algorithm based on histogram matching is usually used to track the target, that is, to search for the best matching corresponding target in the area where the target may appear in a new frame of image, as the new position of the target. The specific process includes: determining each search window in the tracking area, matching the histogram of each search window with the standard histogram of the target, and taking the best matching search window as the new position of the target. Among them, considering that the size of the target in each frame of image may be different due to the distance movement of the target during the shooting process of each frame of image, that is, the scale of the target in each frame of image may be different, therefore, in In ad...

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 Patents(China)
IPC IPC(8): G06T7/20
Inventor 曾志王耀辉
Owner 中星智能系统技术有限公司
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

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