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Characteristic matching and MeanShift algorithm-based target tracking method

A feature matching and target tracking technology, applied in the field of image processing, can solve problems such as large tracking errors and tracking failures

Active Publication Date: 2016-02-17
XIDIAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Although this method can track the target under normal motion conditions, when the target has a large scale change or occlusion, there will be a problem of large tracking error or even tracking failure.

Method used

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  • Characteristic matching and MeanShift algorithm-based target tracking method
  • Characteristic matching and MeanShift algorithm-based target tracking method
  • Characteristic matching and MeanShift algorithm-based target tracking method

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Embodiment Construction

[0064] In order to make the above and other objects, features and advantages of the present invention more apparent, the following specifically cites the embodiments of the present invention, together with the accompanying drawings, for a detailed description as follows.

[0065] The basic idea of ​​the method of the present invention is: use SIFT feature matching to initially locate the target, and use the MeanShift algorithm to accurately locate the target. The background difference method obtains the target area at the initial moment, and uses the MeanShift algorithm to model it; secondly, the SIFT feature extraction is performed on the target area, and the SIFT feature points of the target area at the initial moment are used as the initial feature points of the feature library; thirdly, using The Kalman filter predicts the position of the target area in the current frame, and uses this as the center to perform SIFT feature extraction in the candidate area whose length and w...

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Abstract

The invention discloses a characteristic matching and MeanShift algorithm-based target tracking method. The method comprises the following steps: inputting an image sequence, carrying out background reconstruction on the image sequence, obtaining a target area of an initial moment and modelling by adopting a MeanShift algorithm; carrying out SIFT characteristic extraction on a target area model of the initial moment and taking the SIFT characteristic point of the target area model of the initial moment as an initial characteristic point of a characteristic library; calculating the initial position, size parameter and rotation parameters of the current frame of target through SIFT characteristic matching; accurately positioning the target by adopting the MeanShift algorithm; calculating a shielding factor of the target, judging the shielding degree of the target and determining the tracking mode of the target; and ending the target tracking after all the images in the image sequence are tracked. According to the method, the MeanShift algorithm and the SIFT characteristic matching algorithm are combined and the advantages of the two algorithms are exploited so that the stable tracking the target is realized.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a target tracking method based on the combination of SIFT feature matching and MeanShift algorithm. Background technique [0002] Object tracking is an important branch in the field of computer vision, which has a wide range of applications in video surveillance, intelligent transportation, human-computer interaction, military fields, and robot vision navigation. Its purpose is to realize target tracking and positioning through a certain similarity measure and matching search algorithm. [0003] So far, object tracking technology in video sequences is relatively perfect. According to different application occasions and requirements, researchers have designed and developed a variety of target tracking methods. In general, target tracking methods can be roughly divided into: region-based target tracking methods, active contour-based target tracking methods, m...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20G06T7/246
CPCG06T2207/10016
Inventor 王炳健李敏牛卫易翔郝静雅吴飞红赖睿周慧鑫
Owner XIDIAN UNIV
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