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Parking place state automatic detection method

A technology for automatic detection of parking space status, applied in the field of video image processing, can solve the problems of reducing the detection accuracy of the system, cumbersome system, complicated calculation, etc., to achieve automatic detection of parking space coordinates, improve intelligence, and meet the effect of real-time performance.

Inactive Publication Date: 2015-05-27
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0002] At present, most vehicle detection systems generally use manual calibration in the parking space detection module. Due to the influence of human factors, some errors will inevitably occur, reduce the accuracy of system detection, and cannot fully realize intelligence; vehicle detection in a specific parking space Most of the modules use methods such as KL and kernel Fisher discrimination or Bayesian classifier to detect parking space status information. Due to the complexity of calculation and the cumbersomeness of the system, it is difficult to meet the requirements of real-time, accuracy and robustness.

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Embodiment Construction

[0018] Under indoor conditions, because the light is relatively bright, and there is no need to consider the influence of natural factors such as breeze and wet ground, it is a typical example to illustrate vehicle recognition based on intelligent detection of parking space information, such as figure 1 Shown:

[0019] Step 1: Input the background video frame, that is, the video frame of the empty parking space. The video input here can be a prepared video or a real-time video transmitted by the camera;

[0020] Step 2: Grayscale the background image, use the Canny operator to obtain the contour information of the background image, and the processed image at this time is a binary image; here you can also choose other existing image contour detection (or image edge detection) methods accomplish;

[0021] Step 3: Perform line detection on the outline of the background image, obtain and save all line information;

[0022] Step 4: Carry out subsequent processing steps for other ...

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Abstract

The invention provides a parking place state automatic detection method based on implementation of automatic parking place coordinate automatic identification. The parking place state automatic detection method comprises the steps of extracting an outline of a background image; carrying out linear detection on the extracted outline of the background image; extracting a straight line which is not perpendicular; lengthening the straight line, and obtaining coordinates of two intersections of the straight line and edges of a frame image; dividing all straight lines which are respectively provided the same two intersections with the edges of the frame image into the same straight line group, and combining the straight lines in the same group to obtain side line information of a parking place; and calculating coordinates of intersections of edge lines of the frame image, using the coordinates as parking place intersection coordinates, combining adjacent parking place intersection coordinates, and storing parking place intersection coordinates obtained through combination processing, wherein the parking place intersection coordinates serve as final confirmed parking place coordinate information. The parking place state automatic detection method achieves automatic detection of the parking place coordinates, and achieves judgment on specific parking place state information through a feature matching mode.

Description

technical field [0001] The invention relates to video image processing technology. Background technique [0002] At present, most vehicle detection systems generally use manual calibration in the parking space detection module. Due to the influence of human factors, some errors will inevitably occur, reduce the accuracy of system detection, and cannot fully realize intelligence; vehicle detection in a specific parking space Most of the modules use KL and kernel Fisher discrimination or introduce Bayesian classifiers to detect parking space status information. Due to the complexity of calculation and the cumbersomeness of the system, it is difficult to meet the requirements of real-time, accuracy and robustness. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide a parking space state detection method based on automatic identification of parking space coordinates. [0004] The technical scheme that the present invent...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/14
Inventor 郝宗波桑楠黄园刚
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA