Video multi-vehicle outline detection method

A contour detection and multi-vehicle technology, applied in traffic flow detection, TV, color TV, etc., can solve problems such as slight camera shake and complex background

Inactive Publication Date: 2012-11-28
SOUTHEAST UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention aims at the deficiencies of the prior art when multiple vehicles enter the monitoring area at the same time, the camera shakes slightly, and the background is complicated, etc., and proposes a video multi-vehicle contour detection method, which is characterized in that:

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  • Video multi-vehicle outline detection method
  • Video multi-vehicle outline detection method
  • Video multi-vehicle outline detection method

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Embodiment Construction

[0087] In order to better understand the technical solution of the present invention, the present invention will be further described below in conjunction with the accompanying drawings and a video example on a certain road. The overall flow chart of the method can be found in figure 1 , the implementation steps of this method are as follows:

[0088] Step 1: Initialize:

[0089] Step 1.1: Obtain a video. In this example, the driving direction of the vehicle is from bottom to top, and then obtain the background image from the video. The background image can be obtained in various ways, such as direct shooting method or multi-frame average method. The direct shooting method refers to Directly capture the image without a car in the video scene as the background image. The multi-frame average method refers to using the average image of multiple frames of images as the background image. In this example, the multi-frame average method is used to obtain the background image;

[0090...

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Abstract

The invention discloses a video multi-vehicle outline detection method, which comprises the following steps of: drawing a virtual fence to define a monitoring area, and drawing a virtual detector to acquire parameters such as vehicle width and minimum vehicle length; obtaining a vehicle body outline set through a series of steps such as background subtraction, binarization, morphological opening operation and outline extraction; tracking a vehicle by tracking pixel blocks forming the vehicle, thus obtaining an initial outline of the vehicle; merging the outline of the vehicle by taking the initial outline of the vehicle as the basis, thus ensuring the outline of the vehicle which runs into the monitoring area to be more complete; and selecting a large outline from the residual body outline to serve as an initial outline of a new vehicle, and merging the body outline of the new vehicle, thus timely detecting the vehicle which newly runs into the monitoring area. The method solves the problems of camera shake, image interference on the two sides of a road, disconnected vehicle foreground and adhesion of outlines of adjacent vehicles.

Description

technical field [0001] The invention relates to a video multi-vehicle contour detection method, which belongs to the technical fields of traffic monitoring, video image processing and machine vision. Background technique [0002] In recent years, the use of video technology for vehicle detection has become a hot spot in vehicle detection technology. It can imitate human visual function for vehicle detection and tracking, and has the advantages of detecting multiple lanes and simple installation and maintenance. [0003] Video vehicle detection techniques can be strategically divided into two categories: virtual coil-based and tracking-based methods. The virtual coil method can detect moving vehicles passing through the area by detecting image changes in a specific detection area. The selection of the detection area depends on the prior knowledge of people, which can greatly reduce interference and reduce the computational burden. This method is simple and efficient, and is s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06T7/20G08G1/01H04N5/14
Inventor 路小波熊阳路畅
Owner SOUTHEAST UNIV
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