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An Image Tracking Method Using Keypoint Feature Matching

An image tracking and feature matching technology, which is applied in the field of image recognition, can solve the problems of sacrificing the accuracy of LBP operators, poor representation of smooth areas, and excessively long statistical histograms, so as to avoid histogram calculations and achieve stable and good tracking results. The effect of scale change

Active Publication Date: 2017-02-08
ZHONGKE SHANGYI HEALTH TECH (BEIJING) CO LTD
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Problems solved by technology

[0006] However, in the existing image tracking methods, the disadvantage of the LBP descriptor is that it often generates too long statistical histograms, which increases the computational complexity
If it is dimensionally reduced, although the types of LBP patterns can be reduced and the number of histogram intervals can be reduced accordingly, this processing method will sacrifice the accuracy of the LBP operator
In addition, the LBP mode is also poorly characterized for smooth regions

Method used

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Embodiment Construction

[0018] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings. It should be noted that, in the drawings or descriptions of the specification, similar or identical parts all use the same figure numbers. Implementations not shown or described in the accompanying drawings are forms known to those of ordinary skill in the art. Additionally, while illustrations of parameters including particular values ​​may be provided herein, it should be understood that the parameters need not be exactly equal to the corresponding values, but rather may approximate the corresponding values ​​within acceptable error margins or design constraints. The directional terms mentioned in the embodiments, such as "upper", "lower", "front", "rear", "left", "right", etc., are only referring to the directions of the...

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Abstract

The invention provides an image tracking method utilizing key point feature matching. According to the image tracking method, a high-dimensional joint vector including more information than traditional color or textural features is defined, a target is tracked according to the high-dimensional joint vector, an object is expressed more accurately and comprehensively, and therefore tracking precision is higher, and the robustness is higher.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to an image tracking method using key point feature matching. Background technique [0002] Image tracking mainly uses image processing technology to search for the position of the moving target in the image, and realizes the tracking technology through the detection and positioning of the target. It has a very wide range of application prospects in practice, including security monitoring, military applications, medical diagnosis, intelligent navigation, human-computer interaction, etc. [0003] Typical video tracking techniques mainly include contour-based algorithms, feature-based algorithms, regional statistics-based algorithms, and model-based matching algorithms. The most widely used before is the Mean-shift algorithm using weighted color histogram as search feature, which is an algorithm based on regional statistics, which has the advantages of simple calculation an...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/20G06K9/46
Inventor 蒋寓文王守觉李卫军谭乐怡
Owner ZHONGKE SHANGYI HEALTH TECH (BEIJING) CO LTD
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