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Improved target tracking method

A target tracking and target technology, which is applied in the field of image processing and can solve the problems of fixed tracking window and sensitive target adhesion.

Inactive Publication Date: 2015-10-21
HOHAI UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies in the prior art, to provide an improved target tracking method, which combines the Kalman prediction and the Mean-shift algorithm, and solves the problem that the Mean-shift algorithm tracking window is fixed and the Kalman prediction is sensitive to target adhesion technical issues

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Embodiment Construction

[0067] The content of target tracking is to realize the description and positioning of the target after successfully detecting the foreground target, and then realize the target tracking through data association. The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0068] Such as figure 1 Shown is the flowchart of the method of the present invention, an improved target tracking method, comprising the following steps:

[0069] Step 1: Feature extraction and matching: The initial information of the moving target is obtained from the foreground binary image extracted by target detection, and feature matching is performed.

[0070] 1) The specific method of feature extraction is as follows:

[0071] After extracting the foreground of the moving target, th...

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Abstract

The invention discloses an improved target tracking method, and solves the technical problems in the prior art that a Mean-shift algorithm tracking window is fixed and Kalman prediction is sensitive in target adhesion. The specific method includes: using Kalman filtering to predict a target position, reducing a research range, then matching a target through binary image features, correcting kernel function bandwidth of a Mean-shift algorithm, updating the Kalman model, searching a matched target in the vicinity of the predicted position, and completing target tracking by Mean-shift vector iteration. The improved target tracking method provided by the invention combines the advantages of Kalman prediction and the Mean-shift algorithm, is small in calculated amount and has good real-time performance, and effectively guarantees tracking accuracy under a circumstance of target adhesion.

Description

technical field [0001] The invention relates to an improved target tracking method, which belongs to the technical field of image processing. Background technique [0002] After detecting the moving foreground target, it is necessary to establish the data association of the target in the continuous image frames to carry out the matching and tracking of the target. The background removal of the moving target is aimed at a single frame image, extracting the information of the input image, and then detecting the target. However, if in a real-time detection system, each frame of image needs to be re-searched and detected, and the entire image needs to be associated with data, it will inevitably reduce the real-time performance of the system. Moreover, the actual environment is complex and changeable, and the target is likely to be temporarily occluded, which can easily lead to failure of target foreground extraction. [0003] The traditional target tracking method is based on ...

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Application Information

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IPC IPC(8): G06T7/20
CPCG06T2207/10016
Inventor 李东新朱榴垚
Owner HOHAI UNIV
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