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Template matching tracking method for moving objects

A technology of template matching and moving targets, which is applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as tracking failure, low tracking performance, and inability to correctly locate the target position

Active Publication Date: 2019-02-12
SHENYANG LIGONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In this way, when the target has a certain tilt or rotation, it often leads to the inability to correctly locate the target position, resulting in tracking failure
In addition, this method is also very sensitive to illumination changes, and the tracking performance is not high.

Method used

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  • Template matching tracking method for moving objects
  • Template matching tracking method for moving objects

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Experimental program
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Embodiment Construction

[0012] The present invention will be described in further detail below in conjunction with the embodiments and accompanying drawings.

[0013] The invention adopts a template matching method to realize target identification and tracking. Let the gray value of the pixel at position (i, j) in the template image A be a i,j , the gray value of the surrounding 8 neighborhood pixels is {a i-1,j , a i+1,j , a i,j-1 , a i,j+1 , a i-1,j-1 , a i+1,j+1 , a i-1,j+1 , a i+1,j-1}, from which the gray neighborhood difference b of the pixel at (i,j) position can be obtained i,j for:

[0014]

[0015] Thus, the gray-scale centroid and the gray-scale neighborhood difference centroid of the template image A can be obtained respectively, where the template gray-scale centroid (x a ,y a ) can be calculated as:

[0016]

[0017]

[0018] where x a is the abscissa of the grayscale centroid of the template image A, y a is the ordinate of the grayscale centroid of the template i...

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Abstract

The invention belongs to the field of image processing and machine vision, in particular to a template matching tracking method of a moving object. The method comprises the steps of calculating the gray centroid and the gray neighborhood difference centroid of the template and the region to be matched, determining the connecting line of the center and the gray center of mass and the connecting line of the center and the gray neighborhood difference center of mass as the gray reference direction and the gray neighborhood difference reference direction, coinciding the template with the center ofthe region to be matched, the gray level reference direction and the gray level neighborhood difference reference direction, calculating the matching criterion function value, determining the best matching position as the target position, and updating the weighting coefficient according to the matching result, so that the adaptability of the tracking method to the rotation change is improved. Themethod of the invention can be used in a target recognition and tracking system.

Description

technical field [0001] The invention belongs to the field of image processing and machine vision, relates to a method for target recognition and tracking, in particular to a method for target recognition and tracking based on template matching (template matching and tracking method for moving targets). Background technique [0002] Target recognition and tracking has always been an important research content in the field of machine vision and image processing. It has important application value in the fields of national defense and military, intelligent transportation, video surveillance and so on. Target recognition and tracking systems usually have strict requirements on the real-time performance of tracking methods. Therefore, simple and reliable tracking methods have good application prospects. For example, when the tracking scene is very simple, the "dual wave gate" method can be used, which distinguishes the target from the background image by setting the upper and lo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/42G06F18/22
Inventor 孟博
Owner SHENYANG LIGONG UNIV
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