Method for calculating traces of vehicle in multi-camera scene

A multi-camera and scene technology, applied in computing, computer components, image analysis, etc., can solve problems such as insufficient accuracy of computing results

Active Publication Date: 2017-06-13
DALIAN MARITIME UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0003] The existing vehicle trajectory calculations are generally limited to using the attributes of the vehicle itself, such as

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  • Method for calculating traces of vehicle in multi-camera scene
  • Method for calculating traces of vehicle in multi-camera scene

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Embodiment Construction

[0028] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0029] figure 1 It is a flowchart of a vehicle trajectory calculation method in a multi-camera scene of the present invention, such as figure 1 As shown, the method of the present embodiment includes:

[0030] Step 101, using the convolutional neural network to identify the vehicle monitoring video collected by the camera, and obtain the identif...

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Abstract

The invention provides a method for calculating traces of a vehicle in a multi-camera scene, comprising the steps of identifying vehicle monitoring videos collected by the cameras by use of a convolutional neural network to acquire identification information of a target vehicle, wherein the identification information includes a model, a brand, an actual running direction and an inclination angle of the target vehicle, and a position of the target vehicle is labeled by a matrix frame; tracking the target vehicle according to an overlapping area of the matrix frame and a tracker storage region to acquire motion information of the target vehicle, wherein the motion information includes an occurrence position, a departure position, a running direction and a running trace of the target vehicle; calibrating a topological structure of a camera network according to the motion information of the target vehicle, mounting positions of the cameras and a path connected relation; and associating the traces of the target vehicle in the camera network through Bayesian estimation. The method improves the accuracy rate of calculation of the traces of the vehicle in the multi-camera scene.

Description

technical field [0001] The invention relates to the technical field of vehicle trajectory calculation, in particular to a vehicle trajectory calculation method in a multi-camera scene. Background technique [0002] In the current intelligent transportation system, the identification and tracking of vehicles has always been a core link, and it is also a difficult point. There are many studies on vehicle tracking under a single camera. [0003] The existing vehicle trajectory calculations are generally limited to using the attributes of the vehicle itself, such as the turning angle, to estimate the vehicle's driving trajectory, and the accuracy of the calculation results is not high enough. Contents of the invention [0004] The present invention provides a vehicle trajectory calculation method in a multi-camera scene to solve the above technical problems. [0005] A method for calculating a trajectory of a vehicle in a multi-camera scene according to the present invention,...

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Application Information

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IPC IPC(8): G06T7/292G06K9/00G06K9/62
CPCG06V20/52G06F18/24155
Inventor 付先平彭锦佳王亚飞赵彤彤沈天一张军
Owner DALIAN MARITIME UNIVERSITY
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