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Moving vehicle tracking method in traffic scene

A vehicle tracking and traffic scene technology, applied in the field of moving vehicle tracking, can solve problems such as vehicle occlusion and algorithm complexity, and achieve the effects of low false alarm rate, high detection rate, and good tracking effect.

Inactive Publication Date: 2017-05-31
NANNING HAOFA TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] 2. Vehicle occlusion
[0009] 4. Algorithm complexity

Method used

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  • Moving vehicle tracking method in traffic scene
  • Moving vehicle tracking method in traffic scene
  • Moving vehicle tracking method in traffic scene

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Embodiment Construction

[0058] The following specific examples further illustrate the present invention, but are not intended to limit the present invention.

[0059] A moving vehicle tracking method in a traffic scene, comprising the following steps:

[0060] S1: Collect front-end video images through the camera, preprocess the images, and detect moving vehicles as tracking objects;

[0061] S2: Use the Kalman filter to estimate the motion of the tracking target, and predict its position in the current frame based on the historical motion information of the tracked target by establishing a motion state model;

[0062] S3: Camshift target tracking, according to the color histogram of the tracking target saved in the previous frame, calculate the back projection within the prediction range given by the Kalman filter, and use the Camshift algorithm to search for moving targets;

[0063] S4: After marking the moving target, judge whether the target position coincides. If there is a phenomenon of target...

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Abstract

The invention discloses a moving vehicle tracking method in a traffic scene, and the method comprises the following steps: S1, carrying out the front-end video image collection, carrying out the preprocessing of an image, carrying out the target detection of a moving vehicle, and enabling the moving vehicle to serve as a tracked object; S2, carrying out the motion estimation of the tracked target through employing a Kalman filter, and predicting the position of the tracked object in a current frame according to the historical motion information of the tracked target through building a motion state model; S3, calculating a back projection in a prediction range given by the Kalman filter according to a color histogram, stored in a former frame, of the tracked target, and searching a moving target through a Camshift algorithm; S4, judging whether the target position is coincided or not after the moving object is marked: just updating the position information of the target if there is a target shading phenomenon if the target position is coincided and carrying out no updating of the histogram; or else updating the motion state and the histogram at the same time; S5, enabling the updated target to serve as the tracking object of the next frame, and repeatedly carrying out the above process.

Description

technical field [0001] The invention relates to a moving vehicle tracking method in a traffic scene. Background technique [0002] With the continuous acceleration of urbanization, the development of the transportation industry and the increase in car ownership have brought great convenience to people's work and travel. However, problems have also emerged one after another. Urban road construction is seriously lagging behind, urban traffic management experience is insufficient, and the passing capacity of the road network cannot meet the needs of traffic growth. Traffic congestion is becoming more and more serious, and traffic accidents occur frequently, which seems to have become a common problem faced by countries all over the world. [0003] In order to solve various problems in urban traffic and meet the ever-increasing traffic demand, the traditional solution is to build more roads and strengthen urban traffic infrastructure. Although this alleviated the problem to a ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/42G06V20/584G06F18/24133
Inventor 陈锡清
Owner NANNING HAOFA TECH