CN101383096A - Video vehicle detection mode selecting method and device - Google Patents
Video vehicle detection mode selecting method and device Download PDFInfo
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- CN101383096A CN101383096A CNA2008102117673A CN200810211767A CN101383096A CN 101383096 A CN101383096 A CN 101383096A CN A2008102117673 A CNA2008102117673 A CN A2008102117673A CN 200810211767 A CN200810211767 A CN 200810211767A CN 101383096 A CN101383096 A CN 101383096A
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Abstract
The invention discloses a selection method and a device of video vehicle detection modes, which belong to the field of the intelligent transportation and solves the problem that the prior art can not accurately select a video vehicle detection mode matched with the intensity of rays. The selection method of the video vehicle detection modes comprises the following steps: the percentage information of vehicles with turned-on lights is obtained; the video vehicle detection mode is selected according to the percentage information. The technical scheme provided by the embodiment of the invention can be applied to an intelligent transportation system.
Description
Technical field
The present invention relates to intelligent transportation field, relate in particular to a kind of choosing method and device of video vehicle detection mode.
Background technology
At present, in intelligent transportation system, generally adopt the video frequency vehicle pick-up unit that vehicle is detected.Described video frequency vehicle pick-up unit is subjected to the influence of factors such as light when vehicle is detected, in order to adapt to the Video Detection needs under different light rays intensity, generally comprise the various video vehicle detection mode in every cover video frequency vehicle pick-up unit, during use, can choose different video vehicle detection modes according to the difference of light vehicle is detected.
Prior art generally is according to the different selecting video vehicle detection modes of time period, for example: the changing method between the disclosed video frequency vehicle round the clock of Chinese patent CN200710039378.2 detects, comprise two kinds of video vehicle detection modes: daytime and night, and two kinds of transition modes: early morning and dusk, described four kinds of pattern time corresponding sections are fixed, as, described early morning, corresponding sunrise time point was preceding 40 minutes, behind the sunrise time point 20 minutes, when being in described transition mode, choose corresponding video vehicle detection mode by judging the light power.
In realizing process of the present invention, the inventor finds, described method according to time period selecting video vehicle detection mode can not accurately be chosen the video vehicle detection mode that adapts with light intensity, for example: by day, when weather changes greatly (as overcast and rainy or dust and sand weather etc.), choose the video vehicle detection mode corresponding according to the time period with daytime, yet, the light intensity on daytime this moment is very low, and the described video vehicle detection mode corresponding with daytime can't adapt to the light intensity of this moment.
In order to address the above problem, prior art also provides a kind of light sensor that adopts to carry out the method that light is gathered the selecting video vehicle detection mode, this method can be chosen the video vehicle detection mode that adapts with light intensity exactly, but, in realizing process of the present invention, the inventor finds, adopts light sensor to increase the cost and the debugging cycle of video frequency vehicle pick-up unit.
Summary of the invention
The embodiment of the invention provides a kind of choosing method and device of video vehicle detection mode, can accurately choose the video vehicle detection mode that adapts with light intensity.
For achieving the above object, embodiments of the invention adopt following technical scheme:
A kind of choosing method of video vehicle detection mode comprises: obtain the shared percent information of the vehicle of turning on light; According to described percent information selecting video vehicle detection mode.
A kind of selecting device of video vehicle detection mode comprises:
The percent information acquiring unit is used to obtain the shared percent information of vehicle of turning on light;
Video vehicle detection mode is chosen the unit, is used for the percent information that obtains according to described percent information acquiring unit, selecting video vehicle detection module.
The choosing method of the video vehicle detection mode that the embodiment of the invention provides and device, percent information that can be shared according to the vehicle of turning on light, accurately choose the video vehicle detection mode that adapts with light intensity, solved prior art according to time period selecting video vehicle detection mode, when causing weather or climate change big, the video vehicle detection mode of choosing can not satisfy the problem of the demand of light intensity.And the choosing method of the video vehicle detection mode that the embodiment of the invention provides and device do not need to add any device as light sensor and so on, the debugging cycle that provides cost savings and use.
Description of drawings
The choosing method process flow diagram of the video vehicle detection mode that Fig. 1 provides for the embodiment of the invention;
The selecting device structural representation of the video vehicle detection mode that Fig. 2 provides for the embodiment of the invention;
Percent information acquiring unit structural representation in the selecting device of the video vehicle detection mode that Fig. 3 provides for the embodiment of the invention shown in Figure 2.
Embodiment
Can't accurately choose problem with the corresponding video vehicle detection mode of light intensity in order to solve prior art, the embodiment of the invention provides a kind of choosing method and device of video vehicle detection mode.Be elaborated below in conjunction with the drawings and specific embodiments.
As shown in Figure 1, the choosing method of the video vehicle detection mode that the embodiment of the invention provides comprises:
In another embodiment provided by the invention, in order more reasonably to utilize resource, the choosing method of video vehicle detection mode shown in Figure 1, can also comprise the step that detection time and cycle are set, this moment, described step 101 can be for according to described detection time and cycle obtaining the shared percent information of the vehicle of turning on light.For example: when the detection time that is provided with is 10 minutes, cycle is when being 20 minutes, described step 101 can be obtained the vehicle fleet that passes through in 10 minutes every 20 minutes, and obtain the vehicle number of turning on light that passes through in 10 minutes according to car light information, then, obtain the shared percent information of the vehicle of turning on light according to formula (1):
N＝K/M×100％ (1)
Wherein, N is the shared percent information of vehicle of turning on light; K is the vehicle number of turning on light that passes through in 10 minutes; M passed through vehicle fleet in 10 minutes.
In another embodiment that the embodiment of the invention provides, described video vehicle detection mode comprises three kinds, is respectively: day mode (corresponding light intensity for strong), Night (corresponding light intensity is weak) and transition mode (corresponding light intensity be in).
For selecting video vehicle detection mode exactly, avoid the interference of other external factors (as car light dazzle or ground reflective etc.), the step that can also comprise the proportional range that the vehicle of turning on light that sets in advance each video vehicle detection mode correspondence is shared before the step 102 shown in Figure 1, the proportional range that the vehicle of turning on light of day mode correspondence can be set in the present embodiment is N＜=20%, the proportional range of the vehicle of turning on light of Night correspondence is N 〉=60%, the proportional range of the vehicle of turning on light of transition mode correspondence is 20%＜N＜60%.The then percent information that this moment, step 102 shown in Figure 1 can be obtained according to step 101 and the shared proportional range of the vehicle of turning on light of described each video vehicle detection mode correspondence that sets in advance, the selecting video vehicle detection mode, as: when as described in the percent information that obtains of step 101 when being N=25%, can choose transition mode according to 20%＜N＜60% of transition mode correspondence.
Described video vehicle detection mode of present embodiment and the corresponding vehicle proportional range of turning on light thereof only are for example, are not limited in this in the use of reality, and the present invention does not give unnecessary details one by one to every kind of situation.
In above-described three embodiment, when step 102 shown in Figure 1 chosen with the corresponding video vehicle detection mode of light intensity after, can also comprise the step that adopts the described video vehicle detection mode of choosing that vehicle is detected.
In the present embodiment, when the video vehicle detection mode of choosing is day mode, because light is relatively more sufficient, at this moment, does not have vehicle and opens car light, so can adopt the background method that vehicle is detected, its concrete steps can comprise: at first, adopt the background method to extract background image, calculate the quantity of impact point then, the movement velocity of statistics impact point is obtained the vehicle number that passes through and the information such as speed of vehicle according to the movement velocity of described impact point;
When the video vehicle detection mode of choosing is excessive pattern, since light intensity a little less than, have the part vehicle and open car light, because the influence of car light, the background image degradation of extracting, only adopt the background method that vehicle is detected merely and can't obtain satisfactory impact point information, can adopt the method for frame difference method and the combination of background method that vehicle is detected this moment;
When the video vehicle detection mode of choosing is Night, because light intensity is very weak, most vehicles will be opened car light, and the background image quality that extract according to the background method this moment is with very poor, need obtain impact point information by frame difference method, adopt frame difference method that vehicle is detected.
The detection method of the described three kinds of patterns of present embodiment can be issued to the purpose that vehicle is detected at corresponding light intensity.
The choosing method of the video vehicle detection mode that the embodiment of the invention provides, percent information that can be shared according to the vehicle of turning on light, accurately choose the video vehicle detection mode that adapts with light intensity, solved prior art according to time period selecting video vehicle detection mode, when causing weather or climate change big, the video vehicle detection mode of choosing can not satisfy the problem of the demand of light intensity.And, the choosing method of the video vehicle detection mode that the embodiment of the invention provides, adopt digital image processing techniques to obtain the shared percent information of the vehicle of turning on light, do not need to add any device, the debugging cycle that provides cost savings and use as light sensor and so on.
With said method accordingly, as shown in Figure 2, the embodiment of the invention also provides a kind of selecting device of video vehicle detection mode, comprising:
Percent information acquiring unit 201 is used to obtain the shared percent information of vehicle of turning on light;
Video vehicle detection mode is chosen unit 202, is used for the percent information that obtains according to described percent information acquiring unit 201, selecting video vehicle detection module.
Further, as shown in Figure 3, described percent information acquiring unit 201 can comprise:
Traffic video stream acquiring unit 2011 is used to obtain the traffic video stream information;
Car light information acquisition unit 2012 is used for obtaining car light information from described traffic video stream information;
The vehicle ratio of turning on light acquiring unit 2013 is used for obtaining the shared percent information of the vehicle of turning on light according to described car light information.
Further, as shown in Figure 2, the choosing method of described video vehicle detection mode can also comprise:
Time cycle is provided with unit 203, is used to be provided with access time and cycle;
Then described percent information acquiring unit 201 also is used for according to described access time and cycle obtaining the shared percent information of the vehicle of turning on light.
Further, as shown in Figure 2, the choosing method of described video vehicle detection mode can also comprise:
Proportional range is provided with unit 204, is used to set in advance the shared proportional range of the vehicle of turning on light of each video frequency vehicle detection module correspondence;
Then described video vehicle detection mode is chosen unit 202, also be used for the shared proportional range of the vehicle of turning on light that the percent information that obtains according to described percent information acquiring unit 201 and proportional range are provided with each video vehicle detection mode correspondence that unit 204 is provided with, the selecting video vehicle detection mode.
Further, as shown in Figure 2, the choosing method of described video vehicle detection mode can also comprise:
The selecting device of the video vehicle detection mode that the embodiment of the invention provides, percent information that can be shared according to the vehicle of turning on light, accurately choose the video vehicle detection mode that adapts with light intensity, solved prior art according to time period selecting video vehicle detection mode, when causing weather or climate change big, the video vehicle detection mode of choosing can not satisfy the problem of the demand of light intensity.And, the selecting device of the video vehicle detection mode that the embodiment of the invention provides, adopt digital image processing techniques to obtain the shared percent information of the vehicle of turning on light, do not need to add any device, the debugging cycle that provides cost savings and use as light sensor and so on.
The choosing method of the video vehicle detection mode that the embodiment of the invention provides and device can be applied in the intelligent transportation system.
One of ordinary skill in the art will appreciate that all or part of step that realizes in the foregoing description method is to instruct relevant hardware to finish by program, described program can be stored in the computer-readable recording medium, as ROM/RAM, magnetic disc or CD etc.
The above; only be the specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, anyly is familiar with those skilled in the art in the technical scope that the present invention discloses; can expect easily changing or replacing, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion by described protection domain with claim.
Claims (10)
1, a kind of choosing method of video vehicle detection mode is characterized in that, comprising:
Obtain the shared percent information of the vehicle of turning on light;
According to described percent information selecting video vehicle detection mode.
2, the choosing method of video vehicle detection mode according to claim 1 is characterized in that, the described shared percent information of the vehicle of turning on light that obtains comprises:
Obtain the traffic video stream information;
From described traffic video stream information, extract car light information;
Obtain the shared percent information of the vehicle of turning on light according to described car light information.
3, the choosing method of video vehicle detection mode according to claim 1 is characterized in that, also comprises:
Access time and cycle are set;
The then described shared percent information of the vehicle of turning on light that obtains comprises:
According to described access time and cycle obtaining the shared percent information of the vehicle of turning on light.
4, the choosing method of video vehicle detection mode according to claim 1 is characterized in that, also comprises:
Set in advance the shared proportional range of the vehicle of turning on light of each video vehicle detection mode correspondence;
Then describedly comprise according to described percent information selecting video vehicle detection mode:
According to the shared proportional range of the vehicle of turning on light of described percent information and described each video vehicle detection mode correspondence that sets in advance, selecting video vehicle detection mode.
5, the choosing method of video vehicle detection mode according to claim 1 is characterized in that, also comprises:
Adopt the described video vehicle detection mode of choosing that vehicle is detected.
6, a kind of selecting device of video vehicle detection mode is characterized in that, comprising:
The percent information acquiring unit is used to obtain the shared percent information of vehicle of turning on light;
Video vehicle detection mode is chosen the unit, is used for the percent information that obtains according to described percent information acquiring unit, selecting video vehicle detection module.
7, the choosing method of video vehicle detection mode according to claim 6 is characterized in that, described percent information acquiring unit comprises:
Traffic video stream acquiring unit is used to obtain the traffic video stream information;
The car light information acquisition unit is used for obtaining car light information from described traffic video stream information;
The vehicle ratio of turning on light acquiring unit is used for obtaining the shared percent information of the vehicle of turning on light according to described car light information.
8, the choosing method of video vehicle detection mode according to claim 6 is characterized in that, also comprises:
Time cycle is provided with the unit, is used to be provided with access time and cycle;
Then described percent information acquiring unit also is used for according to described access time and cycle obtaining the shared percent information of the vehicle of turning on light.
9, the choosing method of video vehicle detection mode according to claim 6 is characterized in that, also comprises:
Proportional range is provided with the unit, is used to set in advance the shared proportional range of the vehicle of turning on light of each video frequency vehicle detection module correspondence;
Then described video vehicle detection mode is chosen the unit, the shared proportional range of the vehicle of turning on light that also is used for each video vehicle detection mode correspondence that the percent information that obtains according to described percent information acquiring unit and proportional range be provided with the unit setting, the selecting video vehicle detection mode.
10, the choosing method of video vehicle detection mode according to claim 6 is characterized in that, also comprises:
The vehicle detection unit, the video vehicle detection mode that is used to adopt described video vehicle detection mode to choose unit selection detects vehicle.
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| CN2008102117673A CN101383096B (en) | 2008-09-23 | 2008-09-23 | Video vehicle detection mode selecting method and device |
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| CN2008102117673A CN101383096B (en) | 2008-09-23 | 2008-09-23 | Video vehicle detection mode selecting method and device |
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| CN101383096A true CN101383096A (en) | 2009-03-11 |
| CN101383096B CN101383096B (en) | 2010-09-29 |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105389991A (en) * | 2015-12-03 | 2016-03-09 | 杭州中威电子股份有限公司 | Self-adaptive snapshot method for behavior of running red light |
| CN105427615A (en) * | 2015-12-03 | 2016-03-23 | 杭州中威电子股份有限公司 | Robust red-light-running snapshotting system and method under low illumination |
| CN105740841A (en) * | 2016-02-29 | 2016-07-06 | 浙江宇视科技有限公司 | Method and device for determining vehicle detection mode |
| CN110856324A (en) * | 2018-07-27 | 2020-02-28 | 东旭科技集团有限公司 | Method and device for controlling street lamp, street lamp and readable storage medium |
-
2008
- 2008-09-23 CN CN2008102117673A patent/CN101383096B/en not_active Expired - Fee Related
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105389991A (en) * | 2015-12-03 | 2016-03-09 | 杭州中威电子股份有限公司 | Self-adaptive snapshot method for behavior of running red light |
| CN105427615A (en) * | 2015-12-03 | 2016-03-23 | 杭州中威电子股份有限公司 | Robust red-light-running snapshotting system and method under low illumination |
| CN105389991B (en) * | 2015-12-03 | 2017-12-15 | 杭州中威电子股份有限公司 | A kind of adaptive Jaywalking snapshot method |
| CN105427615B (en) * | 2015-12-03 | 2018-03-16 | 杭州中威电子股份有限公司 | Make a dash across the red light capturing system and the method for robust under a kind of low-light (level) |
| CN105740841A (en) * | 2016-02-29 | 2016-07-06 | 浙江宇视科技有限公司 | Method and device for determining vehicle detection mode |
| CN105740841B (en) * | 2016-02-29 | 2021-06-22 | 浙江宇视科技有限公司 | Method and device for determining vehicle detection mode |
| CN110856324A (en) * | 2018-07-27 | 2020-02-28 | 东旭科技集团有限公司 | Method and device for controlling street lamp, street lamp and readable storage medium |
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| Publication number | Publication date |
|---|---|
| CN101383096B (en) | 2010-09-29 |
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