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A vehicle detection method and system

A vehicle detection and vehicle technology, applied in the field of image processing, can solve the problems that different types of vehicles are difficult to apply uniformly, it is difficult to obtain precise positioning, and it is difficult to detect shadows, etc., so as to improve real-time performance, accuracy, and high reliability. , the effect of a small amount of calculation

Active Publication Date: 2020-07-10
ZONGMU TECH SHANGHAI CO LTD
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, these methods have relatively high requirements on weather conditions, road conditions and Beijing environment. If the weather, road conditions or background environment are not good, it is difficult to obtain accurate positioning by using the above methods for detection.
For example, using a shadow-based vehicle detection method, it is difficult to detect the shadows at the bottom of the car in rainy days; using a vehicle detection method based on taillights, it is difficult to apply uniformly to different types of vehicles; using a sliding window-based method in the background False alarms are prone to occur in scenes with large changes

Method used

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  • A vehicle detection method and system
  • A vehicle detection method and system
  • A vehicle detection method and system

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Embodiment 1

[0039] This embodiment discloses a vehicle detection method, such as figure 1 shown, including:

[0040] Step S10, image preprocessing is performed on the input image, and the preprocessed vehicle candidate area corresponding to the input image including the vehicle image is obtained

[0041] The input image is output by the image acquisition device, usually, the input image is in YUV format. Among them, YUV is a color coding method adopted by the European television system. It uses Y-channel image information to represent image brightness information, U-channel image information and V-channel image information to represent image color information, and combines Y-channel image information, U-channel image information, and V-channel image information to form a color picture. In this embodiment, the input image is Y channel image information that has undergone sampling processing.

[0042] Such as figure 2 As shown, the image preprocessing of the input image in this embodim...

Embodiment 2

[0094] This embodiment discloses a vehicle detection system, such as Figure 4 shown, including:

[0095] The preprocessing module 410 is used to perform image preprocessing on the input image to obtain the preprocessed vehicle candidate area containing the vehicle image corresponding to the input image; wherein,

[0096] The preprocessing module 410 includes:

[0097] The traversal submodule is used to traverse the input image, and obtain the frequency and pixel value of each pixel in the input image;

[0098] The calculation sub-module is used to calculate the pixel value-based distance parameter between each pixel and other pixels, and calculate the corresponding saliency feature value according to the distance parameter to obtain the saliency image;

[0099] Judgment sub-module, for judging maximum pixel value, minimum pixel value, maximum distance parameter and minimum distance parameter from the pixel value and distance parameter of each pixel;

[0100] The normalizat...

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Abstract

The present invention provides a vehicle detection method and system, comprising: performing image preprocessing on an input image to obtain a preprocessed vehicle candidate area containing a vehicle image; correcting the boundary of the vehicle candidate area; and accurately judging the corrected area by a classifier The vehicle candidate area to determine whether the input image contains the target vehicle image. Among them, the image preprocessing is to calculate the distance parameter according to the frequency and pixel value of each pixel of the input image; perform exponential operation on the distance parameter to obtain the saliency feature value, and obtain the saliency image; normalize the saliency image to obtain the saliency analysis image; normalize the input image to obtain the stretched image; subtract the stretched image from the saliency analysis image to obtain the target image, process and select the target image to obtain the vehicle candidate area. The invention suppresses the background information of the input image by enhancing the local contrast, and improves the real-time performance and accuracy of vehicle detection.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a vehicle detection method and system based on contrast and significance analysis. Background technique [0002] The problem of traffic safety has become a major problem worldwide, and the impact of automobile safety on human life and property is self-evident. With the development of highways and the improvement of automobile performance, the speed of automobiles has also accelerated. In addition, the number of automobiles has increased and the traffic has become increasingly busy. Casualties and property losses caused by automobile accidents have become a social problem that cannot be ignored. The driving safety of automobiles is even more important. Traditional passive safety is far from being able to avoid traffic accidents, but active safety technology has attracted much attention because it can prevent accidents. Due to its large amount of information and low cost...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/32G06K9/34G06K9/46G06K9/62
CPCG06V20/62G06V10/267G06V10/44G06V2201/08G06F18/2414G06F18/2411G06F18/214
Inventor 吴子章王凡唐锐
Owner ZONGMU TECH SHANGHAI CO LTD
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