Target tracking method and device, computer equipment and storage medium

Abstract

The invention relates to a target tracking method. The target tracking method comprises the steps of performing target detection at a static state of equipment; when a target is detected to appear in a monitoring picture, performing positioning on the target; predicting a moving direction of the target according to a movement track generated by the target; controlling the equipment to rotate according to the moving direction of the target when the target is detected to have a trend of leaving the field of view of a camera; and tracking the target by adopting a dynamic background modeling mode at a rotating state of the equipment. According to the invention, the amount of calculation is reduced, thus the hardware cost can be saved, and continuous tracking for the target under rotation of the monitoring equipment is realized.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a target tracking method, device, computer equipment and storage medium. Background technique [0002] Nowadays, intelligent monitoring equipment is required to be able to detect motion, but most of them cannot achieve target tracking. When an abnormal situation occurs, it is often hoped that the target can be continuously tracked, and the target can be kept in the monitoring field of view for as long as possible, so that more abnormal information can be obtained, the quality of forensics can be increased, or it can be used for other purposes. [0003] In traditional technology, simple subtraction or frame difference methods are usually used to predict the direction of movement of the target. However, simple subtraction or frame difference can only predict the direction of movement of the target when the device is stationary. Once the monitoring device rotates, it canno...

AI Technical Summary

Problems solved by technology

[0003] In traditional technology, simple subtraction or frame difference methods are usually used to predict the direction of motion of the target. However, simple subtraction or frame difference can only predict the direction of motion of the target when the device is stationary. Once the monitoring device rotates, it cannot use, cannot keep track of

There are also more complex tracking methods to predict the running direction of the target, but complex tracking methods often require target detection and feature matching, require large calculations, and generally run on a server, which increases hardware costs

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