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Moving vehicle detecting method based on aerially photographed video images

A video image and vehicle detection technology, applied in the field of moving vehicle detection based on aerial video images, can solve problems such as difficulty in applying multi-moving vehicle detection, the influence of complex environments and camera motion, and the accuracy rate being susceptible to scale changes.

Inactive Publication Date: 2017-05-17
HEBEI UNIV OF TECH
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a moving vehicle detection method based on aerial video images. The detection of moving vehicles in a single scene is difficult to apply to the detection of multi-moving vehicles in different scenes, and the detection accuracy is easily affected by scale changes, complex environments and camera movements.

Method used

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  • Moving vehicle detecting method based on aerially photographed video images
  • Moving vehicle detecting method based on aerially photographed video images
  • Moving vehicle detecting method based on aerially photographed video images

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Embodiment 1

[0070] A moving vehicle detection method based on aerial video images. This method integrates time and space characteristics, and is suitable for accurate detection of moving vehicles in different scenes. The specific steps are as follows:

[0071] The first step is to match the color sequence image of the input moving vehicle, and further obtain the image after background compensation:

[0072] (1.1) Image matching based on SURF feature points:

[0073] Use simple aerial photography scenes to collect color sequence images of moving vehicles in simple aerial photography scenes and complex aerial photography scenes to collect color sequence images of moving vehicles in complex aerial photography scenes, input all the collected color sequence images F of moving vehicles into the computer, and convert them from RGB space to gray degree space, the formula (1) adopted is as follows:

[0074] I=0.299R+0.587G+0.114B (1),

[0075] Perform SURF feature point detection on the obtained...

Embodiment 2

[0113] The moving vehicle detection result of the inventive method is compared with the moving vehicle detection result of the COCOA system of the prior art, the significance fusion method and the LBP method, and the results are shown in Table 2.

[0114] Table 2. Four methods of moving vehicle detection results on the Egtest01 and Crossroad01 databases

[0115]

[0116] As can be seen from Table 2, compared with the current popular prior art COCOA system, saliency fusion method and LBP method, the method of the present invention can detect moving vehicles no matter on the Egtest01 database with simple background or the Munich Crossroad01 database with complex scenes. Both the recall rate and the precision rate of moving vehicle detection are the highest, which verifies the robustness and effectiveness of the method of the present invention.

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Abstract

The invention provides a moving vehicle detecting method based on aerially photographed video images, and relates to image movement analysis in image data processing. The moving vehicle detecting method based on the aerially photographed video images comprises the following steps: matching of input colored sequence images of a moving vehicle and further obtaining of background compensated images: carrying out image matching based on SURF feature points and estimating global moving parameters of a camera to obtain the background compensated images; roughly detecting the position of the moving vehicle; and accurate detection of the position of the moving vehicle: adaptively detecting roads, extracting CHLBP features of an alternative vehicle region and judging CHLBP features by using a SVM classifier to obtain the position of the moving vehicle. In the method, time and space characteristics are fused, and the shortcomings that a method in the prior art is only suitable for detecting a simple moving vehicle in single scenes, and is difficultly suitable for detecting multiple moving vehicles in different scenes, and detection accuracy is easily affected by changing in scale, complicated environments and movement of cameras are overcome.

Description

technical field [0001] The technical solution of the present invention relates to image motion analysis in image data processing, in particular to a moving vehicle detection method based on aerial video images. Background technique [0002] With the rapid development and popularization of computer and information technology, the intelligent transportation system (ITS) has emerged as the times require. It is an important way to solve the current traffic problems, and it is also the main direction of the future development of intelligent transportation. Moving vehicle detection is one of the basic technologies of intelligent transportation systems, and it is the basis for the measurement of traffic flow parameters such as vehicle count, vehicle speed, traffic flow and vehicle density. In moving vehicle detection, only by accurately segmenting the vehicle from the image background can the identification and tracking of moving vehicles be carried out, and then the measurement an...

Claims

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Application Information

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IPC IPC(8): G06T7/246G06T7/254G06T7/33G06T7/80G06T7/11G06T7/136G06K9/62
CPCG06T2207/10016G06T2207/10024G06T2207/20016G06T2207/20081G06T2207/30236G06F18/2411
Inventor 于明刘双岭于洋师硕郭迎春刘依
Owner HEBEI UNIV OF TECH
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