Traffic vehicle flow detection method based on video

A traffic flow detection and traffic technology, applied in the field of intelligent transportation, can solve the problems of high equipment cost, difficult establishment and maintenance, etc., and achieve the effect of avoiding interference, improving accuracy and reducing misjudgment rate

Inactive Publication Date: 2010-07-14
CHANGAN UNIV
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AI Technical Summary

Problems solved by technology

[0006] The equipment cost of the above traditional methods is high, and it is difficult to establish and maintain

Method used

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  • Traffic vehicle flow detection method based on video
  • Traffic vehicle flow detection method based on video
  • Traffic vehicle flow detection method based on video

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Embodiment Construction

[0031] Such as figure 1 Shown, method of the present invention comprises the following steps:

[0032] Step 1. Information collection: use cameras to collect traffic video information;

[0033] Step 2, image preprocessing: image preprocessing is performed on the video data collected by the camera, and the collected traffic video data is processed into a video sequence with the required number of pixels, such as 720*288 pixels;

[0034] Step 3. Setting of the virtual detection area: read the entire video sequence in units of frames, and set a virtual detection area for the first frame image, that is, select an area of ​​an appropriate size perpendicular to the driving direction of the vehicle on the read first frame image, As a virtual detection area for the processing and analysis of vehicle detection;

[0035] Step 4. Coordinate calibration: with reference to the marking points on the actual road, such as using the existing marking points on the road or artificially placing...

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Abstract

A traffic flow vehicle detection method based on a video comprises the following steps: acquiring information; preprocessing images; setting a virtual detection area by the steps of reading whole video data, setting a virtual area or the virtual detection area for a first frame image, and selecting an area which has proper size and is vertical to the traveling direction of a vehicle as the virtual detection area of the processing analysis of vehicle detection; calibrating coordinates: finding the corresponding perspective relationship of the actual road image and the shot video image and converting the coordinates on the virtual detection area; extracting a target: carrying out the binarization division on a target area and analyzing binarization characteristic patterns; judging the vehicle by using the two-dimension information of the vehicle edge; detecting the side edge and the tailstock position of each target in the virtual detection area, if being detected to simultaneously have the side edge and the tailstock, the target is taken as the vehicle, entering the next step, or returning to continue to extract the target; calculating the vehicle, and ending the detection.

Description

technical field [0001] The invention belongs to the field of intelligent transportation, and is mainly used in automatic detection of traffic events and traffic parameter collection systems of expressways, national highways and urban arterial roads, and in particular relates to a video-based traffic flow detection method. Background technique [0002] As a basic part of Intelligent Transportation (ITS), traffic flow detection plays an important role in ITS. In recent years, a variety of traffic flow detection technologies have gradually developed, such as induction coil detection technology, radar technology, ultrasonic technology, video detection technology, etc.; and the commonly used traditional traffic flow information collection methods mainly include the buried induction coil method , Ultrasonic detector method and infrared detection method. [0003] The buried induction coil method is to bury the induction coil (or induction rod) on the ground to detect the existence...

Claims

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Application Information

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IPC IPC(8): G08G1/065G06K9/00
Inventor 赵祥模宋俊芳宋焕生赵东亮王国强
Owner CHANGAN UNIV
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