Target tracking algorithm under dynamic and static backgrounds

A target tracking, dynamic and static technology, applied in computing, image data processing, instruments, etc., can solve the problems of low target tracking accuracy and easy loss.

Active Publication Date: 2019-11-05
ZHEJIANG UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a target tracking algorithm in a dynamic and static background, to solve the problems of low tracking accuracy and easy loss of t...

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  • Target tracking algorithm under dynamic and static backgrounds
  • Target tracking algorithm under dynamic and static backgrounds
  • Target tracking algorithm under dynamic and static backgrounds

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Embodiment Construction

[0044] In order to better understand the technical solution of the present invention, the technical solution of the present invention will be further described below in conjunction with the accompanying drawings. The detailed implementation flow chart is as follows figure 1 shown.

[0045] The purpose of the present invention is achieved by the following technical solutions: a target tracking algorithm under the static and dynamic background, the method comprising:

[0046] The method proposed by the present invention can use real-time online video streams or continuous pictures. First read the video stream or picture stream data, and determine the initial position of the target to be tracked in the first frame of image according to the position of the target to be tracked. The position information includes the upper left corner point of the target in the original image coordinate system Coordinates (P(x,y)), length (L), and width (W), make the entire target within the recta...

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Abstract

The invention discloses a target tracking algorithm under dynamic and static backgrounds, and the algorithm comprises the steps: firstly, importing to-be-detected video or picture stream data, and cutting a target region based on a first frame image; secondly ,performing target object correction in the first step, wherein generally, standard information exists in the first image so that correctionis mainly carried out on target objects in a second frame and all frames after the second frame, and the target objects are made to be located in the center of the frame as much as possible; second correction is mainly used for solving the problem of deviation correction of the target object under the condition that the first correction is inaccurate, and the two corrections ensure that accuratetarget object dynamic tracking can be realized no matter how the target object moves or how the camera moves; cutting out a new area in the frame (namely the frame analyzed at the present moment) by utilizing the corrected position information to serve as a basis for tracking the next frame; reading the next frame, judging the position of the target object in the current frame based on the corrected area of the previous frame, and selecting the target object from the original image; and continuously correcting in sequence until detection is finished.

Description

technical field [0001] The invention relates to the fields of image processing, analysis, machine learning and dynamic target tracking, in particular to a target tracking algorithm under dynamic and static backgrounds. Background technique [0002] In today's intelligent world, with the vigorous development of drone technology, the technologies used for security and target tracking are changing with each passing day. Automated object tracking technology is getting more and more attention and attention. Target tracking is usually based on target tracking in a static background. The changing area can be obtained by making a difference between the two images in the video before and after, and the target can be captured according to the optical flow characteristics of the area. The main disadvantage of this method is that it is based on a static background, which tends to perform poorly in dynamic backgrounds. [0003] The existing algorithms can be used for capturing moving o...

Claims

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Application Information

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IPC IPC(8): G06T7/215G06T7/187G06T7/70
CPCG06T7/215G06T7/187G06T7/70G06T2207/10016
Inventor 王进喻志勇郑涛徐志楠段志钊陆国栋
Owner ZHEJIANG UNIV
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