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Image matching method and system

A matching method and image technology, applied in the field of image recognition, can solve the problems of high complexity of multi-scale feature extraction and matching algorithm, large amount of matching data, and reduced real-time matching.

Active Publication Date: 2013-11-20
THUNDERSOFT
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  • Application Information

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Problems solved by technology

[0005] The technical problem to be solved in this application is to provide an image matching method and system to solve the problem of high complexity of the existing multi-scale feature extraction matching algorithm and the reduction of real-time matching caused by a large amount of matching data

Method used

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Embodiment Construction

[0075] First, an image matching method provided by this application is described, and the method may include the following steps:

[0076] Taking the center point of the target image of the specified object at the previous moment as the center point of the image at the current moment, an image of a possible search area at a scale at the current moment is obtained, wherein the image of the search area contains the specified object, and the horizontal resolution of the image of the search area is The rate is greater than the horizontal resolution of the target image, and the vertical resolution of the search area image is greater than the vertical resolution of the target image;

[0077] dividing the search area image by using the target image as a division template to obtain at least two candidate images having the same horizontal resolution and vertical resolution as the target image;

[0078] Calculate the similarity between each of the candidate images and the target image, ...

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Abstract

The invention provides an image matching method and system. The image matching method comprises the steps that a search region image possibly containing a specified object at a scale at the current moment is obtained; a center point of the image is a center point of a target image of a specified object at a moment before; the search region image is divided by taking the target image as a dividing template; at least two candidate images with the same lateral resolution and longitudinal resolution as the target image are obtained; the candidate image with the maximum similarity is selected from the candidate images, and adjusted according to elastic parameters of the target image and the candidate image with the maximum similarity; and the adjusted candidate image serves as a target image of a specified object at the current moment. Therefore, in a process of obtaining the target image of the specified object at the current moment, the target image of the specified object at the moment before can be matched with the image of the specified object at the scale at the current moment; the matching complexity and a matching data size are reduced; and the matching timeliness is improved.

Description

technical field [0001] The present application relates to the technical field of image recognition, in particular to an image matching method and system. Background technique [0002] In the process of video analysis, it is of great significance to quickly and accurately track specified objects in the video. As the spatial position and shape change, the color, texture, scale and other characteristics of the specified object will change. Among them, the calculation of scale feature change is the most complicated. [0003] To compute the scale variation of a given object, existing algorithms rely on multi-scale feature extraction. The algorithm process is: obtain the images of the specified object at different scales at the current moment, match the image of the specified object at each scale with the target image of the specified object at the previous moment, and obtain the target image of the specified object at the current moment, where the specified object at the curren...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 朱巍巍
Owner THUNDERSOFT
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