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Sub-pixel-level target tracking method based on feature matching

A sub-pixel level, feature matching technology, applied in the field of target tracking and image processing, can solve the problems of tracking loss and drift, achieve fast tracking, reduce the amount of calculation, and improve the effect of tracking accuracy

Active Publication Date: 2019-08-23
INST OF SEMICONDUCTORS - CHINESE ACAD OF SCI
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Problems solved by technology

However, this kind of method usually tracks the whole target. If it tracks a point in the target, it will often drift or even lose track.

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Embodiment Construction

[0035] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following further describes the present invention in detail in conjunction with specific embodiments and with reference to the accompanying drawings.

[0036] figure 1 The sub-pixel-level target tracking method based on feature matching provided for the present invention is based on figure 1 As shown, the tracking method includes:

[0037] S101: Select the tracking point of the first frame of image from the continuously transmitted images as the reference tracking point;

[0038] S102: Process the first frame image and the Nth frame image respectively to obtain the feature vector of the first frame image and the feature vector of the Nth frame image, where N is a natural number greater than 1;

[0039] S103: Match the feature vector of the first frame of image with the feature vector of the Nth frame of image to obtain a pair of feature points;

[0040] S104: Estimating the ...

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Abstract

The invention discloses a sub-pixel-level target tracking method based on feature matching. The sub-pixel-level target tracking method comprises the following steps: selecting a tracking point of a first frame of image from continuously transmitted images as a reference tracking point; respectively processing the first frame of image and the Nth frame of image to obtain a feature vector of the first frame of image and a feature vector of the Nth frame of image, N being a natural number greater than 1; matching the feature vectors of the first frame of image and the Nth frame of image to obtaina feature point pair; and estimating the feature point pair to obtain a conversion matrix, carrying out point multiplication operation on the conversion matrix and the reference tracking point to obtain a new tracking point, and finishing updating of the tracking point. According to the sub-pixel-level target tracking method based on feature matching provided by the invention, high-precision tracking can be carried out on one point in a target, and robustness is achieved when obvious representation change occurs in an image tracking point region; meanwhile, the method is simple in calculationand high in parallelism, facilitates acceleration calculation, and can be widely applied to a high-speed high-precision real-time tracking photoelectric countermeasure system.

Description

Technical field [0001] The present invention relates to the technical field of image processing and target tracking, in particular to a feature-based high-precision target tracking method. Background technique [0002] Target tracking has been a hot research direction in academic research and practical applications in the past decades. At present, it is basically divided into gray-scale and feature-based tracking methods. The gray-based tracking algorithm is mainly divided into template matching and clustering. These two types of target tracking methods are simple to calculate and are suitable for situations that require real-time tracking, but they often have large matching errors and poor robustness. Among the feature-based target methods, the target tracking method based on online learning also has problems such as easy drift, easy degradation, and poor real-time performance. The target tracking method based on deep learning is a hot spot at this stage, and the tracking accu...

Claims

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Application Information

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IPC IPC(8): G06T7/246
CPCG06T2207/10016G06T2207/20164G06T7/246
Inventor 窦润江刘力源刘剑吴南健
Owner INST OF SEMICONDUCTORS - CHINESE ACAD OF SCI
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