Moving object relay tracing algorithm of multiple PTZ (pan/tilt/zoom) cameras

Abstract

The invention discloses a moving object relay tracing algorithm of multiple PTZ (pan / tilt / zoom) cameras. The moving object relay tracing algorithm is characterized in that the moving object relay tracing algorithm is carried out according to the following steps: 1. estimating inner parameter matrixes of the PTZ cameras by adopting a camera self-calibration method; 2. setting a view cutting line between adjacent PTZ cameras; 3. using Logistics regression model as a classification function, and combining with a mean value drifting algorithm and realizing the target tracking; 4. continuously adjusting angles of the PTZ cameras in the course of tracking, so that the target is always located in the center zone of the PTZ camera view; 5. when the target exceeds the view cutting line of the PTZ camera at present and enters the monitoring view of the adjacent PTZ camera, calculating the coordinate of the target in the adjacent PTZ camera view, and transferring the adjacent PTZ cameras to track the target, and rotating the original PTZ camera to return the preset position. The moving object relay tracing algorithm can accurately control the camera rotation, and perform stable tracking for a long time on the target; and thereby, the complete historical movement information of the target can be obtained.

Description

technical field [0001] The invention belongs to the field of video monitoring, and in particular relates to an algorithm for continuously relay tracking the same target by using a plurality of PTZ cameras. Background technique [0002] With the development of society, video surveillance, as an important security measure, has attracted more and more attention, and the scope of application has gradually expanded. A large number of surveillance cameras have been installed in railway stations and airports, as small as convenience stores in parking lots. . After the traditional monitoring camera is installed, its camera angle, lens focal length and other parameters cannot be changed, that is, the monitoring scene is generally fixed, which is very inconvenient to use. The appearance of azimuth (up and down, left and right) movement and lens zoom) has solved the above problems. After the PTZ camera is installed, the user can send commands to the camera through digital or analog s...

AI Technical Summary

Problems solved by technology

Method 1 requires a lot of human resources and cannot guarantee the efficiency of monitoring. In Method 2, the camera simply monitors the preset coordinate positions in sequence, lacks pertinence, and cannot respond well to emergencies

[0004] In order to improve the monitoring efficiency of PTZ cameras, researchers use image processing and video analysis methods to extract moving objects in the monitoring scene, and then use the moving information of moving objects to realize automatic monitoring and tracking of moving objects in the focus area of ​​PTZ cameras. However, , this method usually uses a single PTZ camera, and only relies on the position change of the tracking target in the image to adjust the angle of the camera to achieve tracking of the moving target

In practical application scenarios, this kind of method often causes the moving target to deviate from the camera scene due to improper camera angle adjustment, and the tracking fails. At the same time, due to the limited monitoring field of view of a single PTZ camera, only the monitoring segment of the moving target can be obtained, which cannot be realized. The continuous long-term tracking of the target loses the complete historical track information of the target

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