A moving vehicle detection method based on aerial video of unmanned aerial vehicle

A technology for vehicle detection and movement, which is applied to computer parts, instruments, character and pattern recognition, etc., and can solve the problems of stability, robustness and real-time performance of moving vehicle detection methods.

Active Publication Date: 2019-02-22
CHECC DATA CO LTD +1
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Problems solved by technology

However, the stability, robustness and real-time performance of the moving v

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  • A moving vehicle detection method based on aerial video of unmanned aerial vehicle
  • A moving vehicle detection method based on aerial video of unmanned aerial vehicle
  • A moving vehicle detection method based on aerial video of unmanned aerial vehicle

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specific Embodiment approach

[0055] As shown in the attached picture figure 1 Shown is detection method flow chart of the present invention, and specific implementation is as follows:

[0056] Step 1), use the UAV airborne camera to take aerial photos of the vehicles on the road, obtain the aerial video, extract its continuous image sequence, then extract the SURF feature points of the reference image and the image to be registered, and then perform feature point matching. After matching, there may still be mis-matching of feature points. For this reason, a random sampling consensus algorithm is further used to remove outliers:

[0057] Specifically, for the reference image and the image to be registered, the Harr feature and the integral image concept are used to extract SURF feature points. Follow the following two principles to find out the correct matching feature points in the reference image and the image to be registered:

[0058] 1) For any SURF feature point in the reference image, calculate th...

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Abstract

The invention discloses a moving vehicle detection method based on aerial video of an unmanned aerial vehicle, at first, the SURF algorithm is used to match the feature points of the image and removethe anomaly point, a UAV image registration algorithm combining global and local homography matrices is used to obtain the transformation matrix, compensating for the adverse effects of airborne camera motion, a 2-frame difference method is used to reduce the area to be detected, and then traverses the region to be detected according to the center of the superpixel, then, the low-order features are extracted by using the multi-channel HOG feature algorithm, and the high-order features are obtained by introducing the context information of the vehicle, and the two features are fused to obtain the multi-order features of the target vehicle. Finally, the multi-order features and dictionary learning algorithm are combined to realize the moving vehicle detection. The method can suppress the influence of the motion of the airborne camera of the unmanned aerial vehicle, process the vehicle deformation and background interference in the image, and improve the robustness and real-time performance of the moving vehicle detection.

Description

technical field [0001] The invention relates to a detection method of a moving vehicle, in particular to a detection method of a moving vehicle based on an aerial video of an unmanned aerial vehicle. Background technique [0002] As a new type of remote sensing data acquisition method, UAV aerial photography has unique advantages such as flexible deployment, large monitoring range, fine granularity of information collection, and no interference from ground traffic. The UAV flight speed and height are adjustable, and the viewing angle is flexible. It has high efficiency, low cost, and low risk for obtaining ground traffic image information. It can realize large-scale traffic monitoring from local to wide areas. With the further development and integration of UAV aerial photography technology and image processing technology, the rational use and analysis of UAV images has broad application prospects in the fields of transportation planning, design, and management. [0003] Co...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06K9/46
CPCG06V20/42G06V20/46G06V20/584G06V10/50G06F18/22
Inventor 朱旭孙思琦徐伟闫茂德杨盼盼左磊
Owner CHECC DATA CO LTD
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