Target tracking method fusing template matching and grey prediction

A technology of template matching and target tracking, which is applied in image analysis, image enhancement, instruments, etc., can solve the problems of large amount of calculation and poor real-time performance of template matching, and achieve simple models, improved accuracy and real-time performance, and small amount of calculation Effect

Inactive Publication Date: 2017-05-31
NANJING UNIV OF SCI & TECH
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Problems solved by technology

[0005] The purpose of the present invention is to provide a target tracking method that combines gray prediction and template matching to solve the problems of large amount of calculation and poor real-time performance of traditional template matching

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  • Target tracking method fusing template matching and grey prediction
  • Target tracking method fusing template matching and grey prediction
  • Target tracking method fusing template matching and grey prediction

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Embodiment Construction

[0016] A visual tracking algorithm integrating template matching and gray prediction, comprising the following steps:

[0017] The first step is to create a target template. Select the target to be tracked in the first frame of image to establish a target template.

[0018] The second step is to build a predictive model. Calculate the position of the target in the first four frames of images to establish the initial GM(1,1) model for gray prediction. The target motion is two-dimensional in the image, so the horizontal and vertical GM(1,1) models are established separately. In order to further reduce the amount of calculation and improve real-time performance, the exponential function is approximated by McLaughlin's formula, and only the first four terms are taken.

[0019] The third step is to match the template. Starting from the fifth frame image, the template image is matched with the predicted position of the GM(1,1) model as the center. Specifically, the sequential s...

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Abstract

The invention discloses a target tracking method fusing template matching and grey prediction. The method comprises the steps of firstly predicting the position of a target in an image by using a grey prediction GM(1,1) model; and secondly calculating the definite position of the target by using a template matching method. The position prediction greatly reduces a search range, so that the target tracking method meets a real-timeliness requirement. In a matching process, a sequential similarity detection method with an adaptive threshold is used, and the threshold is compared with an absolute error sum, so that the calculation amount is reduced and the threshold well adapts to the matching process. Finally, a weighted template updating method is adopted for changes of target scale and environment, so that the robustness of the tracking method is improved.

Description

technical field [0001] The invention belongs to computer vision tracking technology, in particular to a target tracking method combining template matching and gray prediction. Background technique [0002] Object tracking is a basic core technology in the field of computer vision and the basis for various subsequent high-level visual processing. Target tracking technology has a very broad application prospect in many civil and military fields, such as video surveillance, intelligent transportation, missile precision guidance and so on. Template matching is a basic algorithm in image processing, pattern recognition and target tracking. This algorithm has the advantages of simple operation and low requirements on image quality, but it also has the disadvantages of large amount of calculation and poor real-time performance. [0003] In recent years, there are mainly two methods to solve the problem of large amount of calculation and poor real-time performance of template matc...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/246
CPCG06T2207/10016
Inventor 吕明明侯远龙瞿生鹏侯润民
Owner NANJING UNIV OF SCI & TECH
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