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Expressway vehicle detection method based on visual background extraction

A visual background extraction, highway technology, applied in highway vehicle detection, vehicle detection on highways, and can solve problems such as increased detection difficulty

Active Publication Date: 2015-10-28
SOUTHEAST UNIV
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, when the drone is flying, the background is moving in the opposite direction to the drone's heading, so the difficulty of detection is greatly increased.

Method used

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  • Expressway vehicle detection method based on visual background extraction
  • Expressway vehicle detection method based on visual background extraction
  • Expressway vehicle detection method based on visual background extraction

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Embodiment Construction

[0055] In a specific embodiment, the detailed process of expressway vehicle detection based on visual background extraction will be clearly and completely described in conjunction with the accompanying drawings,

[0056] A highway vehicle detection method based on visual background extraction, characterized in that it proceeds in accordance with the following steps:

[0057] Step 1: Initialization: When the aerial photography of the drone meets certain requirements, including the flying height of the drone is 60-70 meters from the highway road, the flying speed of the drone is 15-20 km / h, the drone The flying direction of the vehicle is consistent with the driving direction of the vehicle, the UAV is always above the center of the expressway, the resolution of the onboard camera is 2 million pixels, and the frame rate of the aerial video is 25 frames per second. The onboard camera reads the video file and captures a frame A color image of size , where with are positive i...

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Abstract

The invention relates to an expressway vehicle detection method based on improved visual background extraction, which comprises the steps of 1, initializing a read-in image, wherein an input color image is converted into a grayscale image; 2, carrying out background molding on the image, carrying out background initialization if the image is a first frame image, and otherwise, carrying out background updating so as segment out the background; 3, segmenting out a road surface from the foreground; 4, carrying out eight-neighborhood filling on the image; 5, removing a lane line by using a characteristic that the lane line is narrow; 6, filling the internal part of a vehicle by using a longitudinal filing method; and 7, extracting a vehicle area and drawing an external rectangular frame of the vehicle area. According to the invention, vehicles on the expressway in aerial video of an unmanned aerial vehicle are detected by adopting a mode of image processing, the cost is low, the detection precision is high, the real-time performance is good, and the application range is wide.

Description

technical field [0001] The invention relates to the fields of image processing and traffic video detection, and is an expressway vehicle detection method based on visual background extraction, which is mainly applied to vehicle detection on expressways. Background technique [0002] In the expressway environment, the currently widely used traffic information collection technology is restricted by hardware conditions, and cannot collect traffic information in a large range. to timely detection. If the UAV traffic information collection technology is used, it can break through the constraints of space distance factors and overcome the influence of special geographical and environmental conditions. UAV-based vehicle detection has unparalleled advantages and will surely become the development direction of highway traffic information extraction in the future. [0003] When detecting vehicles, if the background is still, then the traditional moving object detection algorithm can...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V20/584
Inventor 路小波卫朋曾维理李聪姜胜芹
Owner SOUTHEAST UNIV
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