Video vehicle detection method and device

A vehicle detection and vehicle technology, which is applied in the field of intelligent transportation, can solve problems such as inaccurate detection results and impact of detection results, and achieve strong independence, accurate video vehicle detection results, and accurate video vehicle detection results

Inactive Publication Date: 2009-04-01
HISENSE GRP HLDG CO LTD
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The above video vehicle detection method has better detection results when the light is strong, such as during the day, but when the light is weak and the vehicle needs to turn on the lights, such as at night, the light signal will have a greater impact on the detection results, thus making the detection inaccurate result
[0005] In order to solve the above problems, the existing technology combines the above-mentioned video vehicle detection method with other detectors such as speed detectors to realize video vehicle detection when the light is weak. The detection signal obtained by this method is compared with the above two video The vehicle detection method is good, but other detection equipment is needed, and the detection results are still inaccurate

Method used

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  • Video vehicle detection method and device
  • Video vehicle detection method and device

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Experimental program
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Effect test

Embodiment 1

[0028] Embodiment 1: adopt the frame difference method to obtain the vehicle image of the moving vehicle from the video image, and use the maximum between-class variance method (OTSU) to eliminate the vehicle light interference signal in the vehicle image, and eliminate the vehicle light interference signal. The vehicle image is detected, and the video vehicle detection result is obtained.

[0029] Such as figure 2 As shown, specific steps may include:

[0030] Step 201, acquiring video images;

[0031] Step 202, using the frame difference method to process the video image to obtain the vehicle image;

[0032] Specifically, in this embodiment, the frame difference method can be used to obtain the vehicle image according to formula (1):

[0033] d k (x, y) = f k+1 (x,y)-f k (x, y) (1)

[0034] Among them, f k+1 (x, y) is the k+1th frame video image, f k (x, y) is the video image of the kth frame, d k (x, y) is the vehicle image of the kth frame;

[0035] Step 203, u...

Embodiment 2

[0043]Embodiment 2: adopt the frame difference method to obtain the vehicle image of the moving vehicle from the video image, and use the maximum between-class variance method (OTSU) to eliminate the vehicle light interference signal in the vehicle image, and eliminate the vehicle light interference signal. The vehicle image is detected, and the video vehicle detection result is obtained. When no moving vehicle is detected within a period of detection time, the vehicle image of the stationary vehicle is obtained from the video image by using the background difference method, and the maximum between-class variance method (OTSU) is used to compare The vehicle light interference signal in the vehicle image is eliminated, and the vehicle image after the vehicle light interference signal is eliminated is detected to obtain a video vehicle detection result.

[0044] Such as image 3 As shown, specific steps may include:

[0045] Step 301 to step 304 are the same as step 201 to step...

Embodiment 3

[0051] Embodiment 3: adopt the background difference method to obtain the vehicle image of the stationary vehicle from the video image, and use the maximum between-class variance method (OTSU) to eliminate the vehicle light interference signal in the vehicle image, and eliminate the vehicle light interference signal. The vehicle image is detected, and the video vehicle detection result is obtained.

[0052] The specific steps of this embodiment are the same as steps 306 to 308 described in Embodiment 2, and will not be repeated here.

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Abstract

The invention discloses a video vehicle detection method and a device thereof, and relates to the field of intelligent traffic. The method and the device aim at solving the problem that the video vehicle detection method of the prior art obtains incorrect detection results when the light is weak. The technical proposal of the invention is as follows: a video image is obtained; the video image is subject to vehicle light interfere elimination operation to obtain a video image with the vehicle light interference eliminated; and at least one detection zone preset on the vehicle image with the vehicle light interference eliminated is detected to obtain the video vehicle detection result. The method and the device can be applied to the intelligent traffic system to accurately detect the vehicles under the conditions of weak light such as at night and the like.

Description

technical field [0001] The invention relates to the field of intelligent transportation, in particular to a video vehicle detection method and device. Background technique [0002] With the development of the economy, the number of vehicles continues to increase, and the ground traffic situation becomes increasingly complex. In order to adapt to the rapid development of ground traffic, the existing technology uses an intelligent traffic system to realize the management and control of ground traffic. In the intelligent transportation system, video vehicle detection is a core issue, and vehicles can be supervised and managed effectively in real time through video vehicle detection. [0003] At present, video vehicle detection methods mainly include two types: background-based detection methods and motion information-based detection methods. The machine vision-based vehicle detection and tracking method and system disclosed in Chinese patent CN200610080495.9 is a background-b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G08G1/017
Inventor 郭锋刘微胡硕刘韶杨菁
Owner HISENSE GRP HLDG CO LTD
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