CN106530711A - Video image intelligent traffic analysis method for high-speed vehicle - Google Patents
Video image intelligent traffic analysis method for high-speed vehicle Download PDFInfo
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- CN106530711A CN106530711A CN201611167960.2A CN201611167960A CN106530711A CN 106530711 A CN106530711 A CN 106530711A CN 201611167960 A CN201611167960 A CN 201611167960A CN 106530711 A CN106530711 A CN 106530711A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
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- Analytical Chemistry (AREA)
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Abstract
The present invention provides a video image intelligent traffic analysis method for a high-speed vehicle and relates to the technical field of traffic video analysis. The method comprises the following steps of 1) adopting a camera to acquire the image information of a high-speed vehicle in a traffic monitoring area; 2) transmitting the image information to a monitor to realize the monitoring for the high-speed vehicle; 3) transmitting the image information to a video analysis server through a switch in the digital mode, comparing and analyzing an image signal with a preset alarm threshold value by a video analysis module within the video analysis server; 4) adopting the image information for triggering the alarm threshold value as the selected image information and transmitting the image information to a video control server through the switch; 5) finally, controlling and outputting the selected image signal to the monitor to display the image signal by the video control server. According to the technical scheme of the invention, the analysis and the statistics of the traffic flow are accurate. Meanwhile, the working efficiency and the monitoring and early-warning effect are improved.
Description
Technical field
The present invention relates to traffic video analysis technical field, and in particular to a kind of video image intelligent for hot-short
Traffic analysis method.
Background technology
With the sharp increase of the population and vehicle ownership in city, the magnitude of traffic flow is increasingly increased, congested in traffic blocking
Phenomenon is on the rise, and traffic accident happens occasionally.Traffic problems have become the Social Events in work of urban management, shadow
Ring the work and life of people；Threaten the personal safety of people；Hinder and govern the development of urban economy construction.Traffic
The traffic problems such as blocking, traffic accident are people one of the reason for which is important to transport information such as traffic flow, lane informations
Hold not accurate enough.Can the more effective approach that row therefore be found go to obtain accurate traffic flow, lane information, it appears causes to close
It is important.
For traffic flow, the grasp of lane information, it is exactly nothing but the determination to the vehicle location in track, that is, is referred to as
Lane location.The method for being presently used for obtaining lane location information mainly has GPS location, the video surveillance based on road monitoring
The availability of method, the vehicle identification method based on road monitoring, conventional video Traffic flow detecting and vehicle identification system is not high.
This is directed to, needs make improvement.
The content of the invention
The invention provides a kind of video image intelligent traffic analysis method for hot-short, improves speed car flow point
The accuracy and efficiency of analysis.
A kind of video image intelligent traffic analysis method for hot-short, comprises the following steps：
1) using the image information of monitor area in camera acquisition hot-short traffic；
2) and by image information transmit to monitor to realize for the monitoring of hot-short；
3) described image information is transmitted into video analytics server by switch in digital mode, video analysis clothes
Analysis module in business device is analyzed with default alarm threshold to described image signal；
4) image information of triggering alarm threshold is transmitted to one by the switch as selected image information and is regarded
In frequency control server；
5) it is last that display is exported into the monitor by the selected picture signal of video control server control.
Further, the step 3) in also include detection judge step, specifically include：
1) Off Limits is preset, presets Off Limits in the image frame of corresponding monitor area respectively；
2) detection is entered, and has target to enter Off Limits when analysis module is detected in acquired image information
When；
3) trigger alarm threshold and report to the police.
3. a kind of video image intelligent traffic analysis method for hot-short according to claim 1, which is special
Levy and be, step 3) in also include vehicle Flow Detection step, specifically include：
1) some sections of videos are intercepted；
2) vehicle fleet size in video is detected according to analysis module；
3) some vehicle flowrate data are drawn according to the video segment duration for intercepting；
4) mean value of pick-up data on flows, is the vehicle flowrate of the period.
Further, vehicle Flow Detection step 1) in intercept video segment be some sections from same starting point to different terminals
Video segment, precisely draw instantaneous vehicle flowrate sometime.
Further, also identification step is alerted including image abnormity：Send out when analysis module detects camera lens
When raw displacement, vision signal input change or dropout, trigger alarm threshold and report to the police.
Further, also including image storing step, the camera acquisition image information is simultaneously digitized, described to regard
Frequency control server controls described image information transmits into storage medium storage by the switch.
Further, also the vehicle flowrate of different periods is carried out into segmentation statistics, whole day is drawn including analytical procedure at times
Vehicle flowrate data at times.
Further, also including weather warning step, the weather of a certain period, wind speed, temperature data are specially detected.
Further, the vehicle flowrate data of the weather for obtaining, wind speed and temperature data and the period are corresponded into analysis,
Draw the impact of weather, wind speed and temperature data to wagon flow.
It is an advantage of the current invention that：Automatic monitoring, identification and the connection of reporting to the police of abnormal conditions are realized on a highway
It is dynamic, the working strength of personal monitoring is reduced, the analysis and statistics to wagon flow improves operating efficiency and monitoring and early warning effect.
Description of the drawings
Fig. 1 is a kind of video image intelligent traffic analysis method flow diagram for hot-short of the present invention.
Specific embodiment
To make purpose, technical scheme and the advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
The a part of embodiment of the present invention, rather than the embodiment of whole.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
With reference to accompanying drawing 1, a kind of video image intelligent traffic analysis method for hot-short of the present invention, including following step
Suddenly：
1) using the image information of monitor area in camera acquisition hot-short traffic；
2) and by image information transmit to monitor to realize for the monitoring of hot-short；
3) described image information is transmitted into video analytics server by switch in digital mode, video analysis clothes
Analysis module in business device is analyzed with default alarm threshold to described image signal；
4) image information of triggering alarm threshold is transmitted to one by the switch as selected image information and is regarded
In frequency control server；
5) it is last that display is exported into the monitor by the selected picture signal of video control server control.
Further, the step 3) in also include detection judge step, specifically include：
1) Off Limits is preset, presets Off Limits in the image frame of corresponding monitor area respectively；
2) detection is entered, and has target to enter Off Limits when analysis module is detected in acquired image information
When；
3) trigger alarm threshold and report to the police.
3. a kind of video image intelligent traffic analysis method for hot-short according to claim 1, which is special
Levy and be, step 3) in also include vehicle Flow Detection step, specifically include：
1) some sections of videos are intercepted；
2) vehicle fleet size in video is detected according to analysis module；
3) some vehicle flowrate data are drawn according to the video segment duration for intercepting；
4) mean value of pick-up data on flows, is the vehicle flowrate of the period.
Further, vehicle Flow Detection step 1) in intercept video segment be some sections from same starting point to different terminals
Video segment, precisely draw instantaneous vehicle flowrate sometime.
Further, also identification step is alerted including image abnormity：Send out when analysis module detects camera lens
When raw displacement, vision signal input change or dropout, trigger alarm threshold and report to the police.
Further, also including image storing step, the camera acquisition image information is simultaneously digitized, described to regard
Frequency control server controls described image information transmits into storage medium storage by the switch.
Further, also the vehicle flowrate of different periods is carried out into segmentation statistics, whole day is drawn including analytical procedure at times
Vehicle flowrate data at times.
Further, also including weather warning step, the weather of a certain period, wind speed, temperature data are specially detected.
Further, the vehicle flowrate data of the weather for obtaining, wind speed and temperature data and the period are corresponded into analysis,
Draw the impact of weather, wind speed and temperature data to wagon flow.
It is an advantage of the current invention that：Automatic monitoring, identification and the connection of reporting to the police of abnormal conditions are realized on a highway
It is dynamic, the working strength of personal monitoring is reduced, the analysis and statistics to wagon flow improves operating efficiency and monitoring and early warning effect.
It should be noted that herein, such as first and second or the like relational terms are used merely to a reality
Body or operation are made a distinction with another entity or operation, and are not necessarily required or implied these entities or deposit between operating
In any this actual relation or order.And, term " including ", "comprising" or its any other variant are intended to
Nonexcludability is included, so that a series of process, method, article or equipment including key elements not only will including those
Element, but also including other key elements being not expressly set out, or also include for this process, method, article or equipment
Intrinsic key element.In the absence of more restrictions, the key element for being limited by sentence "including a ...", it is not excluded that
Also there is other identical element in process, method, article or equipment including the key element.
Above example only to illustrate technical scheme, rather than a limitation；Although with reference to the foregoing embodiments
The present invention has been described in detail, it will be understood by those within the art that：Which still can be to aforementioned each enforcement
Technical scheme described in example is modified, or carries out equivalent to which part technical characteristic；And these modification or
Replace, do not make the essence of appropriate technical solution depart from the spirit and scope of various embodiments of the present invention technical scheme.
Claims (9)
1. a kind of video image intelligent traffic analysis method for hot-short, it is characterised in that comprise the following steps：
1) using the image information of monitor area in camera acquisition hot-short traffic；
2) and by image information transmit to monitor to realize for the monitoring of hot-short；
3) described image information is transmitted into video analytics server by switch in digital mode, video analytics server
Interior analysis module is analyzed with default alarm threshold to described image signal；
4) image information of triggering alarm threshold is transmitted to a video control as selected image information by the switch
In control server；
5) it is last that display is exported into the monitor by the selected picture signal of video control server control.
2. a kind of video image intelligent traffic analysis method for hot-short according to claim 1, its feature exist
In the step 3) in also include detection judge step, specifically include：
1) Off Limits is preset, presets Off Limits in the image frame of corresponding monitor area respectively；
2) detection is entered, when analysis module is detected in acquired image information, have target to enter Off Limits；
3) trigger alarm threshold and report to the police.
3. a kind of video image intelligent traffic analysis method for hot-short according to claim 1, its feature exist
In step 3) in also include vehicle Flow Detection step, specifically include：
1) some sections of videos are intercepted；
2) vehicle fleet size in video is detected according to analysis module；
3) some vehicle flowrate data are drawn according to the video segment duration for intercepting；
4) mean value of pick-up data on flows, is the vehicle flowrate of the period.
4. a kind of video image intelligent traffic analysis method for hot-short according to claim 3, its feature exist
In vehicle Flow Detection step 1) in the video segment that intercepts be some sections from same starting point to the video segment of different terminals, essence
Instantaneous vehicle flowrate sometime will definitely be gone out.
5. a kind of video image intelligent traffic analysis method for hot-short according to claim 1, its feature exist
In also including image abnormity alarm identification step：Be shifted over when analysis module detects camera lens, vision signal
When input change or dropout, trigger alarm threshold and report to the police.
6. a kind of video image intelligent traffic analysis method for hot-short according to claim 1, its feature exist
In also including image storing step, the camera acquisition image information is simultaneously digitized, the video control server control
Described image information processed transmits into storage medium storage by the switch.
7. a kind of video image intelligent traffic analysis method for hot-short according to claim 4, its feature exist
In also including analytical procedure at times, the vehicle flowrate of different periods being carried out segmentation statistics, draws whole day vehicle flowrate at times
Data.
8. a kind of video image intelligent traffic analysis method for hot-short according to claim 7, its feature exist
In also including weather warning step, specially detecting the weather of a certain period, wind speed, temperature data.
9. a kind of video image intelligent traffic analysis method for hot-short according to claim 1, its feature exist
In the vehicle flowrate data of the weather for obtaining, wind speed and temperature data and the period are corresponded analysis, weather, wind speed is drawn
With impact of the temperature data to wagon flow.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611167960.2A CN106530711A (en) | 2016-12-16 | 2016-12-16 | Video image intelligent traffic analysis method for high-speed vehicle |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611167960.2A CN106530711A (en) | 2016-12-16 | 2016-12-16 | Video image intelligent traffic analysis method for high-speed vehicle |
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| CN106530711A true CN106530711A (en) | 2017-03-22 |
Family
ID=58340932
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| CN201611167960.2A Withdrawn CN106530711A (en) | 2016-12-16 | 2016-12-16 | Video image intelligent traffic analysis method for high-speed vehicle |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108281012A (en) * | 2018-02-01 | 2018-07-13 | 中国科学院计算机网络信息中心 | Display methods, device, storage medium and the electronic device of traffic flow data |
| CN110119658A (en) * | 2018-02-07 | 2019-08-13 | 中国石油化工股份有限公司 | A kind of refinery factory flaw detection operating personnel delay detection method |
| CN114566052A (en) * | 2022-04-27 | 2022-05-31 | 华南理工大学 | Method for judging rotation of highway traffic flow monitoring equipment based on traffic flow direction |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108281012A (en) * | 2018-02-01 | 2018-07-13 | 中国科学院计算机网络信息中心 | Display methods, device, storage medium and the electronic device of traffic flow data |
| CN110119658A (en) * | 2018-02-07 | 2019-08-13 | 中国石油化工股份有限公司 | A kind of refinery factory flaw detection operating personnel delay detection method |
| CN114566052A (en) * | 2022-04-27 | 2022-05-31 | 华南理工大学 | Method for judging rotation of highway traffic flow monitoring equipment based on traffic flow direction |
| CN114566052B (en) * | 2022-04-27 | 2022-08-12 | 华南理工大学 | Method for judging rotation of highway traffic flow monitoring equipment based on traffic flow direction |
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Application publication date: 20170322 |