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A vehicle detection method based on multiple sub-images and image saliency analysis

A vehicle detection, remarkable technology, applied in the field of vehicle detection, can solve the problems of high false alarm, low contrast, a large amount of training cost, etc., and achieve the effect of high real-time performance, strong adaptability, and good detection effect

Active Publication Date: 2018-10-09
ZONGMU TECH SHANGHAI CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current moving vehicle detection method based on visual sensors is often difficult to detect the target vehicle when dealing with large backlight situations, because at this time, the information such as the shadow of the vehicle bottom or the taillights of the vehicle has a low contrast with the surrounding environment. The means of processing are often no longer applicable; for the detection means of sliding window, it requires a lot of training cost and is accompanied by a high risk of false alarm

Method used

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  • A vehicle detection method based on multiple sub-images and image saliency analysis
  • A vehicle detection method based on multiple sub-images and image saliency analysis

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Embodiment

[0061] Such as figure 1 As shown, the present invention uses the sampled image Y channel information to detect vehicle targets. Firstly, preprocessing is carried out based on the saliency analysis based on image layering, and the candidate area containing the target vehicle is obtained after screening; then, the boundary correction is performed on the candidate target area containing the target vehicle; after that, the corrected area containing the target vehicle is The candidate area is sent to the classifier for accurate judgment; after that, the final target vehicle area is obtained after processing according to the multi-frame joint mechanism and the image de-overlapping mechanism.

[0062] A vehicle detection method based on multiple subimages and image saliency analysis, comprising the following steps:

[0063] S1, saliency preprocessing based on the fusion of multiple subimages;

[0064] S2, performing boundary correction on the candidate target area containing the ta...

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Abstract

The invention provides a vehicle detection method based on multiple sub-images and image saliency analysis. The method comprises the following steps: S1) carrying out saliency pretreatment based on multiple sub-image fusion; S2) carrying out boundary correction on a candidate target area comprising a target vehicle; S3) carrying out accurate judgment on the corrected target candidate area; S4) carrying out multi-frame joint and de-superposition; and S5) outputting a target window area coordinate and finishing vehicle detection. The method is low in time complexity and high in real-time performance, and can be suitable for various different scenes, such as rainy days or night.

Description

technical field [0001] The invention relates to the field of vehicle detection, in particular to a vehicle detection method based on multiple subimages and image saliency analysis. Background technique [0002] Forward Collision Warning system (Forward Collision Warning), FCW can monitor the vehicle in front at all times through the radar system, judge the distance, orientation and relative speed between the vehicle and the vehicle in front, and warn the driver when there is a potential collision risk. The FCW system itself does not take any braking action to avoid a collision or control the vehicle. [0003] As an important part of FCW, moving vehicle detection based on visual sensors has become one of the focuses of many peer researches. The current moving vehicle detection method based on visual sensors is often difficult to detect the target vehicle when dealing with large backlight situations, because at this time, the information such as the shadow of the vehicle bott...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06T3/00G06T5/40G06K9/62
CPCG06T5/40G06T2207/30236G06V20/584G06V2201/08G06F18/25G06T3/18
Inventor 吴子章王凡唐锐
Owner ZONGMU TECH SHANGHAI CO LTD
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