Target tracking method based on template matching

A target tracking and template matching technology, applied in character and pattern recognition, image data processing, instruments, etc., can solve the problem that the algorithm cannot accurately locate the target position and affect the application scope of the algorithm.

Inactive Publication Date: 2011-04-06
TIANJIN POLYTECHNIC UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This makes the algorithm sometimes unable to accurately locate the target location, thus affecting the application range of the algorithm

Method used

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  • Target tracking method based on template matching
  • Target tracking method based on template matching
  • Target tracking method based on template matching

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Embodiment

[0034] image 3 The situation of using the method of the present invention to find the target position in several consecutive images is given. The position of the cross in the figure is the center position of the target obtained by the method of the present invention, and the dot is the target position obtained by the absolute average value algorithm of the gray difference. It can be seen from the example results that the method of the present invention can perform more accurate positioning and tracking on the targets in the continuous images. The method of the present invention is still effective when the environment background is relatively complex or the target has been changed in translation or rotation.

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Abstract

The invention belongs to the field of image processing and machine vision, in particular relates to a target tracking method based on the template matching. The template image and pixels with a matching area are arrayed into a plurality of sub windows according to the circle; and the target is guaranteed to have the translation and the rotational invariance by adopting the circular template matching principle. The edge strength value of the template and each pixel in the tracking window can be calculated by using a Kirsch operator. The summation of the gray matching valve and the edge strength matching value is used as the matching result. The position of the optimal matching value is determined as the position of the tracking target. The invention can be used for a target identifying and tracking system.

Description

technical field [0001] The invention belongs to the field of image processing and machine vision, and relates to a target recognition and tracking method, in particular to a template matching-based image target recognition and tracking method. 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 monitoring system, security system, military field and so on. The early tracking algorithms are mainly based on the contrast tracking algorithm between the target and the background. The contrast tracking algorithm uses the contrast between the target and its background to identify and extract the target signal. It is the earliest method developed by the tracking system. According to the different reference points of the target, it can be divided into edge tracking, centroid tracking, and peak tracking. This type of method is simple, easy...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06T7/20
Inventor 修春波
Owner TIANJIN POLYTECHNIC UNIV
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