CN109448376A - A kind of road condition analyzing method and system based on video - Google Patents
A kind of road condition analyzing method and system based on video Download PDFInfo
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- CN109448376A CN109448376A CN201811425208.2A CN201811425208A CN109448376A CN 109448376 A CN109448376 A CN 109448376A CN 201811425208 A CN201811425208 A CN 201811425208A CN 109448376 A CN109448376 A CN 109448376A
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- video
- sample point
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- module
- road conditions
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Classifications
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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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/54—Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
-
- 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
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
-
- 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
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
Abstract
The road condition analyzing method and system based on video that the invention discloses a kind of, are related to intelligent transportation field.The present invention includes the following steps: step S01: setting up video camera in each street in urban district, obtains the real-time video in street；Step S02: processing real-time video is road conditions video, and interception multiple image per second is converted to road conditions picture；Step S03: handling road conditions picture combination sample point pixel-parameters, generates treatment effect；Step S04: analyzing processing result, obtains analysis result and formats；Step S05: analysis result is stored in data storage device, and is drawn on map.The present invention passes through the video camera on linking-up road, get road surface video information, road conditions picture combination sample point pixel-parameters carry out algorithm analysis and obtain traffic information, it is intuitively shown using mapping technology to user simultaneously, facilitate user to understand traffic information at the first time, makes optimal route selection.
Description
Technical field
The invention belongs to intelligent transportation fields, more particularly to a kind of road condition analyzing method based on video and a kind of base
In the road condition analyzing system of video.
Background technique
With the fast development of Chinese economy, the urban transportation amount in China also increases suddenly, congested in traffic, traffic accident frequency
Hair etc. causes more and more life and property losses, time waste and environmental pollution.The intelligence for being then based on video analysis is handed over
Logical importance is increasingly significant, and key technology one of of the vehicle flowrate as intelligent transportation system is increasingly becoming the weight of research
Want field.Vehicle flowrate can provide foundation for intelligent road management and running, to reduce road congestion, improve road surface money
The utilization rate in source.
The defect and deficiency of the prior art: now to the acquisition of traffic information mainly by being set with Traffic Announcement and GPS
Standby to obtain traffic information, the former not can guarantee the real-time of traffic information, and the latter is stronger to device dependence, will lead to road conditions letter
Breath obtain it is imperfect the problems such as.
Summary of the invention
The road condition analyzing method and system based on video that the purpose of the present invention is to provide a kind of, by linking-up road
Video camera, gets road surface video information, and road conditions picture combination sample point pixel-parameters carry out algorithm analysis and obtain road conditions
Information, while intuitively being shown solve existing driver and obtain traffic information canal to user using mapping technology
Road is few, traffic information obtains incomplete problem.
In order to solve the above technical problems, the present invention is achieved by the following technical solutions:
The present invention is a kind of road condition analyzing method based on video, is included the following steps:
Step S01: video camera is set up in each street in urban district, obtains the real-time video in street；
Step S02: processing real-time video is road conditions video, and interception multiple image per second is converted to road conditions picture；
Step S03: handling road conditions picture combination sample point pixel-parameters, generates treatment effect；
Step S04: analyzing processing result, obtains analysis result and formats；
Step S05: analysis result is stored in data storage device, and is drawn on map；
In the step S03, the specific processing step of road conditions picture combination sample point is as follows:
Step S031: the pixel value of sample point in video image is obtained；
Step S032: algorithm calculating is carried out by the parameter of setting, calculated result is compared with the threshold value of setting；If meter
It calculates result and is greater than threshold value, then show that the point has vehicle to pass through, the state value of the point is set to 1 and is stored in vehicle data by system
Caching；
Step S033: road is calculated by the varied number of the change frequency and sample point that calculate same lane sample point
Congestion value, and according to preset congestion parameter decision congestion in road degree；
Step S034: congestion information is drawn on map according to the longitude and latitude of camera and direction.
Preferably, in the step S03, every lane is respectively provided with several sample points, and between two adjacent sample points
Spacing be not greater than the length of a car.
Preferably, in the step S033, if the pixel absolute value of the difference of the video image of two continuous sample point positions
The threshold value and state value chosen when less than difference image binaryzation are 1, then show that vehicle continues through two points, and combine
Obtain the driving path of vehicle；If the driving path of vehicle has interruption or incompleteness, show that accident occurs in vehicle.
The present invention is a kind of road condition analyzing method based on video, including video read module, sample point update module, figure
As analysis module, data analysis module, data storage server and map display module；
The video read module is connect with sample point update module and image analysis module respectively；The data storage clothes
Business device and map display module are connect with image analysis module；Described image analysis module includes sample point parameter, current figure
Picture, sample point comparison and post-processing；
The video read module is for obtaining video sequence；
The sample point update module is used to provide sample point pixel value parameter to image analysis module；
Described image analysis module is used to analyze the variable condition of sample point；
The data analysis module is for analyzing traffic information and road conditions Crack cause；
The data storage server is for storing data；
The map display module is used to be shown traffic information and early warning.
Preferably, the sample point update module provides various modes and automatically switches, in different modes according to weather feelings
Condition provides different pixel values to image analysis module；Wherein, the various modes mainly include fine day, cloudy day, greasy weather, rainy day
And night.
The invention has the following advantages:
(1) present invention gets road surface video information, road conditions picture combination sample by the video camera on linking-up road
This pixel-parameters carry out algorithm analysis and obtain traffic information, while intuitively being opened up using mapping technology to user
Show, user is facilitated to understand traffic information at the first time, makes optimal route selection；
(2) present invention only need to install a high-definition camera as video information in road street and acquire equipment, reduce
Cost, while system is improved to the real-time of road conditions acquisition of information and the accuracy that judges the close vehicle of color.
Certainly, it implements any of the products of the present invention and does not necessarily require achieving all the advantages described above at the same time.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, will be described below to embodiment required
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of road condition analyzing method and step figure based on video of the invention；
Fig. 2 is a kind of road condition analyzing system structure diagram based on video of the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts all other
Embodiment shall fall within the protection scope of the present invention.
Refering to Figure 1, the present invention is a kind of road condition analyzing method based on video, include the following steps:
Step S01: video camera is set up in each street in urban district, obtains the real-time video in street；It is existing if it is accessing
Camera, then camera either NVR where it can be directly accessed by the network equipment；If it is newly-built camera,
Then pass through access via telephone line；
Step S02: processing real-time video is road conditions video, and five frame images of interception per second are converted to road conditions picture；
Step S03: handling road conditions picture combination sample point pixel-parameters, generates treatment effect；
Step S04: analyzing processing result, obtains analysis result and formats；
Formatting can be by Data Format Transform at the format that can be stored in database and the lattice that can be shown on map
Calculated result value is converted into significant Chinese and described by formula, such as coordinate deflection, time format；
Step S05: analysis result is stored in data storage device, and is drawn on map；
In step S03, the specific processing step of road conditions picture combination sample point is as follows:
Step S031: the pixel value of sample point in video image is obtained；
Step S032: algorithm calculating is carried out by the parameter of setting, calculated result is compared with the threshold value of setting；If meter
It calculates result and is greater than threshold value, then show that the point has vehicle to pass through, the state value of the point is set to 1 and is stored in vehicle data by system
Caching；
Step S033: road is calculated by the varied number of the change frequency and sample point that calculate same lane sample point
Congestion value, and according to preset congestion parameter decision congestion in road degree；
Step S034: congestion information is drawn on map according to the longitude and latitude of camera and direction.
Preferably, in step S03, every lane is respectively provided with several sample points, and between two adjacent sample points between
Away from the length less than a car, which can freely be configured, and reasonable point be configured according to different camera seats in the plane, by close
I.e. remote spacing should do respective handling.
Wherein, in step S033, if the pixel absolute value of the difference of the video image of two continuous sample point positions is less than poor
The threshold value and state value chosen when partial image binaryzation are 1, then show that vehicle continues through two points, and combine and obtain vehicle
Driving path；If the driving path of vehicle has interruption or incompleteness, show that accident occurs in vehicle, system will be as the people that works
Number sends accident early warning, then does the subsequent judgement of road conditions；
When occurring vehicle in monitoring scene, the pixel value I (t) of sample point position and sample point preset picture in video image
It will appear more apparent difference between element value I (t-1), the two pixel value subtracts each other, and acquires image corresponding position margin of image element
Absolute value, judges whether it is greater than a certain threshold value, and then analyzes the object of which movement characteristic of video sequence, mathematical formulae are as follows:
Wherein, D (x, y) is difference image, the threshold value that T chooses when being difference image binaryzation, before the expression of D (x, y)=1
Scape, D (x, y)=0 indicate background.Therefore, the calculated result of D (x, y) is defined as state；When state is 0, then it represents that do not have
Vehicle passes through, when state is 1, then it represents that have vehicle process.
It please refers to shown in Fig. 2, the present invention is a kind of road condition analyzing system based on video, including video read module, sample
This update module, image analysis module, data analysis module, data storage server and map display module；
Video read module is connect with sample point update module and image analysis module respectively；Data storage server and ground
Figure display module is connect with image analysis module；Image analysis module includes sample point parameter, present image, sample point comparison
And post-processing；
Video read module is HD video camera for obtaining video sequence, video read module, and HD video is taken the photograph
As head is set up in the higher building of street road, VPN network is established between HD video camera and video processing service device；
Sample point update module is used to provide sample point pixel value parameter to image analysis module；Image analysis module is for analyzing sample
The variable condition of point；Image analysis module and sample point update module are all set in video processing service device, video processing clothes
Business device and application server are attached by internal switch；Data analysis module is for analyzing traffic information and road conditions shape
At reason；Data storage server is for storing data；Map display module be used to be shown traffic information and
Early warning, map display module are set in web server, and web server provides services to the user uniform outlet, web server
A fixed public network IP address is also needed, user is allowed to access.
Wherein, sample point update module provides various modes and automatically switches, and is provided in different modes according to weather condition
Different pixel values are to image analysis module；Various modes mainly include fine day, cloudy day, greasy weather, rainy day and night, when in multiple
When heterocycle border, setting in sample point pixel, by acquiring the sample points under a variety of weather according to doing corresponding compatible processing,
The environment and discrimination that Various Complex can be coped with obtain certain guarantee.
It is worth noting that, included each unit is only drawn according to function logic in the above system embodiment
Point, but be not limited to the above division, as long as corresponding functions can be realized；In addition, each functional unit is specific
Title is also only for convenience of distinguishing each other, the protection scope being not intended to restrict the invention.
In addition, those of ordinary skill in the art will appreciate that realizing all or part of the steps in the various embodiments described above method
It is that relevant hardware can be instructed to complete by program, corresponding program can store to be situated between in a computer-readable storage
In matter.
Present invention disclosed above preferred embodiment is only intended to help to illustrate the present invention.There is no detailed for preferred embodiment
All details are described, are not limited the invention to the specific embodiments described.Obviously, according to the content of this specification,
It can make many modifications and variations.These embodiments are chosen and specifically described to this specification, is in order to better explain the present invention
Principle and practical application, so that skilled artisan be enable to better understand and utilize the present invention.The present invention is only
It is limited by claims and its full scope and equivalent.
Claims (5)
1. a kind of road condition analyzing method based on video, which comprises the steps of:
Step S01: video camera is set up in each street in urban district, obtains the real-time video in street；
Step S02: processing real-time video is road conditions video, and interception multiple image per second is converted to road conditions picture；
Step S03: handling road conditions picture combination sample point pixel-parameters, generates treatment effect；
Step S04: analyzing processing result, obtains analysis result and formats；
Step S05: analysis result is stored in data storage device, and is drawn on map；
In the step S03, the specific processing step of road conditions picture combination sample point is as follows:
Step S031: the pixel value of sample point in video image is obtained；
Step S032: algorithm calculating is carried out by the parameter of setting, calculated result is compared with the threshold value of setting；If calculating knot
Fruit is greater than threshold value, then shows that the point has vehicle to pass through, and the state value of the point is set to 1 and is stored in vehicle data by system to be cached；
Step S033: congestion in road is calculated by the varied number of the change frequency and sample point that calculate same lane sample point
Value, and according to preset congestion parameter decision congestion in road degree；
Step S034: congestion information is drawn on map according to the longitude and latitude of camera and direction.
2. a kind of road condition analyzing system based on video according to claim 1, which is characterized in that in the step S03,
Every lane is respectively provided with several sample points, and the spacing between two adjacent sample points is not greater than the length of a car.
3. a kind of road condition analyzing system based on video according to claim 1, which is characterized in that the step S033
In, if the pixel absolute value of the difference of the video image of two continuous sample point positions is less than the threshold chosen when difference image binaryzation
Value and state value are 1, then show that vehicle continues through two points, and combine the driving path for obtaining vehicle；If the row of vehicle
Sailing path has interruption or incompleteness, then shows that accident occurs in vehicle.
4. according to claim 1-3 it is any one as described in a kind of road condition analyzing system based on video, including video read mould
Block, sample point update module, image analysis module, data analysis module, data storage server and map display module, it is special
Sign is:
The video read module is connect with sample point update module and image analysis module respectively；The data storage server
It is connect with image analysis module with map display module；Described image analysis module includes sample point parameter, present image, sample
The comparison of this point and post-processing；
The video read module is for obtaining video sequence；
The sample point update module is used to provide sample point pixel value parameter to image analysis module；
Described image analysis module is used to analyze the variable condition of sample point；
The data analysis module is for analyzing traffic information and road conditions Crack cause；
The data storage server is for storing data；
The map display module is used to be shown traffic information and early warning.
5. a kind of road condition analyzing system based on video according to claim 4, which is characterized in that the sample point updates
Module provides various modes and automatically switches, and provides different pixel values according to weather condition in different modes and gives image analysis mould
Block；Wherein, the various modes mainly include fine day, cloudy day, greasy weather, rainy day and night.
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Cited By (1)
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| CN110473421A (en) * | 2019-09-23 | 2019-11-19 | 鞠青松 | Intelligent transportation navigation system based on 5G communication network |
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