A highway intelligent analysis method based on conventional video

A highway and intelligent analysis technology, applied in the field of video processing, can solve the problem of high cost, achieve the effect of improving contrast, increasing accuracy, and realizing the function of video speed measurement

Inactive Publication Date: 2018-04-10
HOHAI UNIV
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  • A highway intelligent analysis method based on conventional video
  • A highway intelligent analysis method based on conventional video
  • A highway intelligent analysis method based on conventional video

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Embodiment Construction

[0024] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0025] Such as figure 1 Shown is a method flow chart of an embodiment of the present invention. A kind of expressway intelligent analysis method based on traditional video of this embodiment, comprises the following steps:

[0026] Background modeling: Use the average background method to extract the first X frames of the video, and then determine the fluctuation range of the pixels. It solves the problem of ghosting when the vehicle is running at high speed, and solves the problem that the color of the vehicle is similar to the background color and cannot accurately extract the foreground and eliminate the shadow of the vehicle, which greatly increases the accuracy of the following video speed measurement and vehicle model recognition.

[0027] Image enhancement: Perform histogram transformation on the processed image. At this time, the image will be grays...

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Abstract

The invention provides a highway intelligent analysis method based on conventional video. The method comprises the steps of: (1) background modeling: extracting front X frames of video and determininga fluctuation range of pixels; (2) image enhancement: reading images, performing histogram transformation and performing range extension on the gray scales of the images; (3) lane line detection; performing transformation processing on the images, performing add operation, traversing blank images and calculating the positions and angles of lane lines; (4) video speed measurement: defining two induction zones of vehicle detection, extracting the features of the vehicles and obtaining the real-time speeds of the vehicles via a virtual coil speed measurement algorithm; (5) statistics of trafficflow and vehicle type distinguishing analysis: judging the sizes of the vehicle types according to the pixel area of the vehicles in gray-scale maps and conducting statistics of traffic flow; (6) license plate number identification: if vehicles overspeed, identifying the license plate numbers of the overspeeding vehicles and outputting the license plate numbers to texts. The method increases the accuracy of lane line identification; the method can measure the speeds of target vehicles in multi-lane scenes and the implementation cost is low.

Description

technical field [0001] The invention belongs to the technical field of video processing, and relates to an intelligent analysis method for highways based on traditional video. Background technique [0002] Traffic intelligence analysis based on traditional video is a relatively active technical research direction in the field of computer vision / multimedia research in recent years. It allows the computer to imitate the process of human visual perception of object movement and judgment of events, and comprehensively uses image processing, pattern recognition, artificial intelligence and other technologies to analyze and understand real-time video signals or image sequences. It can well alleviate the problem of massive information redundancy in traditional video. [0003] The principles of expressway intelligent analysis technology are generally divided into two categories. One is based on the establishment of background models, mainly including behavior analysis within the bo...

Claims

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Application Information

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IPC IPC(8): G08G1/052G08G1/04G06K9/00G06K9/32
CPCG08G1/04G08G1/052G06V20/53G06V20/54G06V20/584G06V20/588G06V20/63G06V2201/08G06V20/625
Inventor 黄倩王一鸣孙思东徐淑芳曹存顺
Owner HOHAI UNIV
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