Target tracking method and system based on multi-scale characteristic quantity

Abstract

The invention discloses a target tracking method and system based on multi-scale characteristic quantity. According to the method, the moving distances between the clusters to which the position points at different time points belong are calculated; whether the cluster where the position point of the current time point is located and the cluster where the position point of the time point in a preset time period before the current time point is located belong to large-scale movement or small-scale movement is determined by comparing the movement distance with a preset scale threshold value; thethreshold value is set for judgment, the application range is wider, prediction is carried out according to the moving space scale of the tracked object, the dynamic moving track of the tracked target under different scales can be accurately predicted, the prediction accuracy is improved, and the tracked target is accurately tracked according to the prediction result.

Description

technical field [0001] The invention relates to the field of target tracking, in particular to a target tracking method and system based on multi-scale feature quantities. Background technique [0002] In the application scenarios of smart cities, it is of great value to track the location changes of targets. For example, public security or security departments can deploy and control the monitoring objects of concern based on target tracking to prevent illegal incidents and maintain public safety. In traffic management, the traffic conditions of vehicles can be measured based on target tracking, and then by summarizing the traffic conditions of many vehicles, the smoothness of each section of road traffic can be determined, and so on. [0003] Traditional target tracking only obtains the position of the target in real time or quasi-real time, so it can only reflect the past and current position of the target. In order to better serve the above application scenarios, people ...

AI Technical Summary

Problems solved by technology

[0007] In view of the above problems, the purpose of the present invention is to solve the problem that the dynamic prediction and tracking technology of the target in the prior art does not take into account the influence of the moving spatial scale, which makes the position point prediction of the target prone to deviation and cannot be accurately targeted at different spaces. The Problem of Range Prediction of Potential Location Points

Images