A car steering wheel detection method based on curve segmentation
A technology of curve segmentation and detection method, which is applied in the field of computer vision and intelligent transportation, and can solve the problems of low detection rate of circular arcs, poor robustness, and low detection rate of short and small arcs.
Active Publication Date: 2021-05-04
ZHEJIANG UNIV OF TECH
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[0004] To sum up, if the current arc detection method is applied to the detection of automobile steering wheel, there are the following deficiencies: (1) need to match accurately to the pixel level, and the robustness is poor; (2) the detection rate for short and inferior arcs is not high ; (3) The detection rate for the deformed arc is not high
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[0060] The specific implementation of the curve segment-based automobile steering wheel detection method of the present invention will be described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0061] A kind of automobile steering wheel detection method based on curve segmentation of the present invention, comprises the steps:
[0062] Step 1: Carry out window location to the color image image that contains vehicle, the image image that chooses among the present invention is as figure 2 As shown, the window positioning results are as follows image 3 shown;
[0063] Step 2: intercept the right half of the car window as new image WinImg from the image image, as in the present embodiment Figure 4 As shown, and the image WinImg is grayed, Gaussian filtering, morphological edge detection, local binarization and edge ...
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The invention discloses an automobile steering wheel detection method based on curve segmentation, which includes positioning the window of a color image image containing a vehicle, intercepting the right half of the window as a new image, and obtaining a single pixel through grayscale operations Edge image, remove intersection points from the obtained image, find each pixel point p on the edge of a single pixel and calculate the number of pixels on the edge existing in its eight neighbors, and remove single pixels whose length is less than Len Edge removal, and then use the eight-neighborhood edge tracking algorithm to traverse the single-pixel edge of the image, store it sequentially, and then calculate the corresponding curve deflection angle, segment it, establish a plane Cartesian coordinate system, segment it, make a candidate car steering wheel edge, and obtain steering wheel. By using the method of the invention to detect the steering wheel of the automobile, the correct rate of steering wheel detection can be improved.
Description
technical field [0001] The invention relates to the technical fields of computer vision and intelligent transportation, in particular to an automobile steering wheel detection method based on curve segmentation, which divides the curve in the image into segments according to the deflection angle of the curve, and uses inferior arcs for each segment of the curve The symmetry of the car steering wheel detection method. Background technique [0002] With the continuous development of the intelligent transportation field, more and more attention is paid to the driver's behavior analysis in the road traffic safety monitoring system. For example, to detect whether the driver is wearing a seat belt or not while driving. To detect whether the driver is wearing a seat belt through the road surveillance video, it is necessary to accurately locate the driver's left chest position. However, in the road monitoring video, the objects in the window are generally blurred, and it is diffic...
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IPC IPC(8): G06K9/00G06K9/46G06T7/13G06T7/136
CPCG06T7/13G06T7/136G06V20/59G06V10/44
Inventor 高飞汪敏倩林俊辉卢书芳张元鸣肖刚
Owner ZHEJIANG UNIV OF TECH