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Vehicle relay tracking method in multi-camera scene

A multi-camera, camera technology, used in image analysis, image data processing, instrumentation, etc.

Inactive Publication Date: 2011-01-19
BEIHANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This invention solves the problem of vehicle unique identity confirmation in the process of camera handover, and realizes real-time and accurate tracking of vehicles in complex scenes

Method used

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  • Vehicle relay tracking method in multi-camera scene
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  • Vehicle relay tracking method in multi-camera scene

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Embodiment Construction

[0051] like figure 1 As shown, the present invention includes a vehicle relay tracking method in a multi-camera scene. The method first uses an image stitching method to unify the multi-camera field of view to determine the overlapping area between cameras; secondly, using an improved vehicle tracking algorithm, Track the vehicle; third, when the vehicle enters the overlapping area of ​​the cameras, it is judged whether it is the boundary of the field of view of the monitoring scene. If it reaches the boundary of the field of view, the monitoring ends. If it does not reach the boundary, the adjacent camera target is triggered to enter, and the vehicle is predicted In the position in the adjacent field of view, the characteristics of the vehicle are transferred; fourth, when the adjacent camera finds a moving target, it continues to track.

[0052] The present invention relates to a vehicle relay tracking method in a multi-camera scene, and the specific steps are as follows:

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Abstract

The invention discloses a vehicle relay tracking method in multi-camera scene. In the method, multiple cameras cooperate, and real time continuous tracking on vehicle in a multi-camera covering domain is realized in a complex scene. Firstly, image registration is carried out on a traffic pavement image obtained by multiple cameras by applying SIFT characteristic and RANSAC algorithm, and an L-M (Levenberg-Marquardt) algorithm is adopted to optimize an RANSAC transformation matrix, so as to form a pavement panorama image; secondly, a layering vehicle tracking method which is based on Camshift algorithm and a motion predictor is provided, so as to solve the problems of vehicle overlapping, partial obscuring and real time tracking; and finally a multi-camera target handoff method based on overlapped region boundary is provided, and a next camera is triggered when the algorithm detects that the target enters into the overlapped region of two cameras, so as to realize vehicle relay tracking. The invention can be widely applied to intelligent monitoring system in outdoor scene or suspicious vehicle continuous tracking system and has wide market prospect and application value.

Description

technical field [0001] The invention relates to a method for tracking a moving target in an intelligent video monitoring system, in particular to a vehicle relay tracking method in a multi-camera scene. Background technique [0002] With the acceleration of the urban process, people have installed a large number of cameras to expand the monitoring scene while speeding up the road infrastructure. However, although there is a great correlation between multiple cameras, what is presented to the user is only the segmentation scene of different monitors, and the actual monitoring system only stays on the basis of a single camera correlation algorithm. At present, the monitoring technology and related applications based on multi-camera collaboration are still in its infancy, and the development is not mature. Therefore, the development of multi-camera collaboration system is a challenging subject. The current multi-camera tracking methods mainly include: [0003] 1. Multi-camera...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20
Inventor 郝久月李超王跃郭信谊熊璋
Owner BEIHANG UNIV
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