Target tracking algorithm under dynamic and static backgrounds

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...

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 targets in a dynamic background in the prior art, and provide a comprehensive solution for any target tracking in a dynamic and static background. Provides a guiding detection and tracking method

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