Multi-ball machine linkage target tracking method and system based on improved Meanshift algorithm

Abstract

The invention relates to a multi-ball machine linkage target tracking method based on an improved Meanshift algorithm. The method comprises the following steps of: obtaining an initial image sequence in a ball machine monitoring scene, and analyzing to obtain a moving target; tracking the detected moving target; controlling the ball machine to rotate by use of a fuzzy control method so that the moving target is approximately kept in the central range of the ball machine, wherein when the moving target enters the public monitoring area of multiple ball machines, multiple ball machines enter a detection to-track state; and if the moving target leaves the public monitoring area and enters the visual field of a ball machine, starting corresponding ball machine, and returning to the first step to track the moving target. The invention also discloses a multi-ball machine linkage target tracking system based on the improved Meanshift algorithm. According to the invention, the linkage target tracking of multiple ball machines is realized through the detection, real-time tracking and fuzzy control of the moving target, the robustness is greatly improved, and the monitoring range is expanded.

Description

[0001] technical field [0002] The invention relates to the field of intelligent video monitoring, in particular to an improved Meanshift algorithm-based multi-dome linkage target tracking method and system. Background technique [0003] With the development of the national economy and the acceleration of economic globalization, the security industry is developing rapidly. Every city has tens of thousands of cameras. Accurately searching relevant information from video storage resources and enabling video surveillance equipment to accurately track suspects has become a difficult problem for public security personnel. With the application of computer vision and digital image processing technology in target tracking, intelligent video surveillance technology (IVT Intelligent Video Technology) also came into being. IVT is to replace the brain with a computer and the eyes with a camera, and the computer intelligently analyzes the image sequence captured by the camera to unders...

AI Technical Summary

Problems solved by technology

One solution is to use background stabilization technology to perform reverse motion compensation on the target through algorithms such as moving target detection and matching or optical flow after background modeling, so as to achieve continuous tracking of the same target. link, the calculation is more complicated, and it cannot meet the real-time requirements; another solution is to use the feature point (such as corner point, etc.) In this method, the displacement between the front and rear frames is calculated to control the movement of the camera. Since this method involves image stitching, the complexity is relatively large. At the same time, the accuracy of stitching and matching is different for different scenes.

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