CN112509324A - Vehicle detection system and method based on virtual coil video - Google Patents
Vehicle detection system and method based on virtual coil video Download PDFInfo
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- CN112509324A CN112509324A CN202011386235.0A CN202011386235A CN112509324A CN 112509324 A CN112509324 A CN 112509324A CN 202011386235 A CN202011386235 A CN 202011386235A CN 112509324 A CN112509324 A CN 112509324A
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- 238000001514 detection method Methods 0.000 title claims abstract description 60
- 238000000034 method Methods 0.000 title claims description 13
- 230000006698 induction Effects 0.000 claims abstract description 10
- 238000001914 filtration Methods 0.000 claims description 8
- 238000000605 extraction Methods 0.000 claims description 7
- 230000000694 effects Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000009499 grossing Methods 0.000 description 2
- 238000003384 imaging method Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
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- 238000003909 pattern recognition Methods 0.000 description 1
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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
- G08G1/0125—Traffic data processing
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16M—FRAMES, CASINGS OR BEDS OF ENGINES, MACHINES OR APPARATUS, NOT SPECIFIC TO ENGINES, MACHINES OR APPARATUS PROVIDED FOR ELSEWHERE; STANDS; SUPPORTS
- F16M11/00—Stands or trestles as supports for apparatus or articles placed thereon Stands for scientific apparatus such as gravitational force meters
- F16M11/02—Heads
- F16M11/04—Means for attachment of apparatus; Means allowing adjustment of the apparatus relatively to the stand
- F16M11/06—Means for attachment of apparatus; Means allowing adjustment of the apparatus relatively to the stand allowing pivoting
- F16M11/08—Means for attachment of apparatus; Means allowing adjustment of the apparatus relatively to the stand allowing pivoting around a vertical axis, e.g. panoramic heads
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16M—FRAMES, CASINGS OR BEDS OF ENGINES, MACHINES OR APPARATUS, NOT SPECIFIC TO ENGINES, MACHINES OR APPARATUS PROVIDED FOR ELSEWHERE; STANDS; SUPPORTS
- F16M11/00—Stands or trestles as supports for apparatus or articles placed thereon Stands for scientific apparatus such as gravitational force meters
- F16M11/20—Undercarriages with or without wheels
- F16M11/24—Undercarriages with or without wheels changeable in height or length of legs, also for transport only, e.g. by means of tubes screwed into each other
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/50—Constructional details
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/08—Detecting or categorising vehicles
Abstract
The invention discloses a vehicle detection system based on a virtual coil video, which belongs to the technical field of intelligent traffic and comprises the following components: the camera, the server, terminal and pole setting, pole setting fixed mounting is in one side of road, be provided with switch board and driver part in the pole setting, driver part and switch board electric connection, one side of pole setting is provided with the spout, sliding connection has the slide bar on the spout, driver part drive slide bar reciprocates, it is connected with at least one camera to rotate on the slide bar, be provided with the embedded treater that can simulate out virtual coil in the camera, virtual coil is virtual induction coil, the camera is connected with the server through the network, the server is connected with the terminal through the network. The invention discloses a vehicle detection method based on a virtual coil video. The invention sets a detection line or a detection area in a video image to simulate an induction coil, and when a vehicle passes through the detection line, the vehicle is detected according to the change of the characteristics of the pixel of the detection line, such as color, gray level and the like.
Description
Technical Field
The invention belongs to the technical field of intelligent traffic, and particularly relates to a vehicle detection system and method based on a virtual coil video.
Background
In recent years, with rapid development of economy, the quantity of motor vehicles held has rapidly increased. The contradiction between the current situation of traffic management and the demand is further aggravated, and the construction of an intelligent traffic access system by utilizing an advanced technology is particularly necessary for traffic control. The intelligent traffic access system is established, so that the vehicle information can be accurately recorded, the traffic flow information of roads can be mastered, the vehicle arrangement and control can be carried out, the illegal vehicles can be alarmed in real time, and a precise and effective basis can be provided. The conventional bayonet system adopts a ground induction coil for detection, and has the defects of single function, pavement damage, lack of flexibility, difficult maintenance and the like.
Disclosure of Invention
The invention aims to provide a vehicle detection system and method based on virtual coil video, which avoid the use of a traditional induction coil and the laying of a feeder cable and can effectively solve the problems of high cost, small detection range and inconvenient maintenance of the traditional detection method.
On one hand, in order to achieve the purpose, the invention adopts the following technical scheme: a virtual coil video-based vehicle detection system, comprising: camera, server, terminal and pole setting, pole setting fixed mounting is in one side of road, be provided with switch board and driver part in the pole setting, driver part with switch board electric connection, one side of pole setting is provided with the spout, sliding connection has the slide bar on the spout, the driver part drive the slide bar reciprocates, it is connected with at least one camera to rotate on the slide bar, be provided with the embedded treater that can simulate out virtual coil in the camera, virtual coil is virtual induction coil, the camera pass through the network with the server is connected, the server pass through the network with the terminal is connected.
As a further description of the above technical solution:
the slide bar is rotatably connected with two cameras, and the directions of the lenses of the two cameras are opposite.
As a further description of the above technical solution:
the pole setting top is provided with solar cell panel, solar cell panel with switch board electric connection.
As a further description of the above technical solution:
the street lamp is installed on the sliding rod and electrically connected with the control cabinet.
As a further description of the above technical solution:
the driving part is a motor.
As a further description of the above technical solution:
the bottom of the sliding rod is fixedly connected with a first connecting rod, the bottom of the first connecting rod is provided with a ball shaft, the camera is fixedly connected with a second connecting rod, and the second connecting rod is rotatably connected to the ball shaft.
On the other hand, in order to achieve the above object, the present invention adopts the following method: a vehicle detection method based on virtual coil video comprises the following steps:
1) an embedded processor capable of simulating a virtual coil is arranged in the camera, and the virtual coil is set as a detection area line;
2) shooting images when the vehicle passes through the detection line and images when the vehicle does not pass through the detection line;
3) transmitting the shot image information to a server, and comparing the color and the gray level of the image when the vehicle passes through the detection line with the image when the vehicle does not pass through the detection line;
4) and detecting vehicles according to the comparison result and obtaining related traffic flow parameters.
As a further description of the above technical solution:
and step 3) further comprises image foreground extraction, image filtering processing and image edge enhancement.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
1. in the invention, the detection line or the detection area is arranged in the video image to simulate the induction coil, when the vehicle passes through the detection line, the vehicle is detected according to the change of the characteristics of the pixel of the detection line, such as color, gray level and the like, and compared with the prior art, the method can detect a larger traffic scene area; compared with other detection methods, the method has the advantages of low investment and low cost; the equipment such as a video sensor and the like, such as a camera, is easy to install and debug, and does not damage road facilities; by using the video detection technology, more traffic flow parameters can be collected.
2. According to the invention, the height of the sliding rod can be adjusted through the arranged driving part, so that the shooting effect can be improved, the camera is easy to damage due to the fact that the camera is arranged outdoors, and the camera can be conveniently maintained and replaced through the driving part; through the ball axle that sets up, be convenient for adjust the angle of camera, can improve the shooting effect.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic structural diagram of a vehicle detection system based on virtual coil video.
Fig. 2 is a diagram of information transmission in a vehicle detection system based on virtual coil video.
Fig. 3 is an assembly view of a ball axle in a virtual coil video based vehicle detection system.
Fig. 4 is a flowchart of a method for detecting a vehicle based on a virtual coil video.
Illustration of the drawings:
1. a camera; 2. a server; 3. a terminal; 4. erecting a rod; 5. a control cabinet; 6. a drive member; 7. a slide bar; 8. a solar panel; 9. a street lamp; 10. a first connecting rod; 11. a ball shaft; 12. a second connecting rod.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-3, the present invention provides a technical solution: a virtual coil video-based vehicle detection system, comprising: camera 1, server 2, terminal 3 and pole setting 4, 4 fixed mounting in one side of road in pole setting, be provided with switch board 5 and driver part 6 in the pole setting 4, driver part 6 with 5 electric connection of switch board, one side of pole setting 4 is provided with the spout, sliding connection has slide bar 7 on the spout, driver part 6 drive slide bar 7 reciprocates, it has at least one camera 1 to rotate on the slide bar 7, be provided with the embedded treater that can simulate out virtual coil in the camera 1, virtual coil is virtual induction coil, camera 1 through the network with server 2 is connected, server 2 through the network with terminal 3 is connected.
In this embodiment, specifically, the slide bar 7 is rotatably connected with two cameras 1, and the directions of the lenses of the two cameras 1 are opposite. The vehicle can be shot front and back, and the detection quality is improved.
In this embodiment, specifically, the top of the vertical rod 4 is provided with a solar cell panel 8, and the solar cell panel 8 is electrically connected with the control cabinet 5. Can save the power, can be used for driving motor with the electricity that solar cell panel 8 produced simultaneously and supply power to camera 1, install the battery in pole setting 4 bottoms, when can avoiding having a power failure, lead to camera 1 can not work, the electricity that solar cell panel 8 produced can be saved at the battery or insert the commercial power electric wire netting.
In this embodiment, specifically, a street lamp 9 is installed on the slide bar 7, and the street lamp 9 is electrically connected with the control cabinet 5. The illumination brightness can be improved at night, and therefore the shooting effect is improved.
In this embodiment, specifically, the driving member 6 is a motor.
In this embodiment, specifically, the bottom of the sliding rod 7 is fixedly connected with a first connecting rod 10, the bottom of the first connecting rod 10 is provided with a ball axle 11, the camera 1 is fixedly connected with a second connecting rod 12, and the second connecting rod 12 is rotatably connected to the ball axle 11. The camera 1 is convenient to rotate, the best shooting position is achieved, the picture quality is improved, meanwhile, the detection precision is improved, and misjudgment is avoided.
In this embodiment, specifically, the camera 1 is a CCD camera.
Referring to fig. 4, the present invention adopts the following method: a vehicle detection method based on virtual coil video comprises the following steps:
1) an embedded processor capable of simulating a virtual coil is arranged in the camera 1, and the virtual coil is set as a detection area line;
2) shooting images when the vehicle passes through the detection line and images when the vehicle does not pass through the detection line;
3) transmitting the shot image information to a server, and comparing the color and the gray level of the image when the vehicle passes through the detection line with the image when the vehicle does not pass through the detection line;
4) and detecting vehicles according to the comparison result and obtaining related traffic flow parameters.
In this embodiment, specifically, step 3 further includes image foreground extraction, image filtering processing, and image edge enhancement. The image foreground extraction is to obtain moving foreground points by subtracting a threshold between a current frame and a current background frame. Before performing the operation, the current frame is first subjected to smoothing filtering to reduce the influence of noise. A gaussian template of 3 x 3 size is used here. Since the smoothing also causes loss of image edge information, we also need to perform edge enhancement on the filtered image at this time. Considering the insensitivity of the G channel to noise, we only perform edge enhancement on the current frame and the background frame by using a Sobel operator in the G channel. When the threshold is selected, in order to adapt to the change of the background, the following steps are taken: where C-R, G, B is reasonable because the histogram of the background image exhibits a distinct unimodal characteristic at channel R, G, B. Then, the difference between the current frame and the background frame at any point (x, y) is defined as: when DBt (x, y) ≧ TL, the point is considered as the foreground moving point, otherwise it is considered as the background point and will be updated into the background. Namely PFore { (x, y) | DBt (x, y) ≧ TL }. The picture quality can be improved; filtering, namely, an original image acquired by an imaging system cannot be directly used due to various condition limitations and random interference, such as dirt of a lens of a visual imaging system, image blurring caused by uneven ground and the like, and the original image must be preprocessed by adopting a median filtering method in a spatial domain, so that the image detail blurring caused by linear filters such as least mean square filtering mean filtering and the like can be overcome under certain conditions, the edge of the image is effectively protected, and the image quality can be improved; edge enhanced recognition, where an object starts from its edge, the edges of different parts of an image tend to be the most important features for pattern recognition. The edge is the set of pixels with step change or roof change in the gray level of the surrounding pixels, and is widely present between objects, between objects and backgrounds, and between primitives, and in the image collected by the machine vision system, the edge information of the lane is annihilated between backgrounds.
Working principle or structural principle: the method comprises the steps of setting a detection line or a detection area in a video image to simulate an induction coil, detecting a vehicle according to the change of characteristics such as color, gray level and the like of pixels of the detection line when the vehicle passes through the detection line, specifically, processing the induction coil in real time, detecting the vehicle and obtaining relevant traffic flow parameters, extracting video images with a plurality of continuous frames, storing pixel gray values in a virtual coil in an array according to the sequence of frame numbers, calculating a histogram of the gray values of each pixel in the virtual coil point by point, selecting the gray value with the largest occurrence frequency as the gray value of a current pixel in a background image, increasing the number of collected frames appropriately if the situation that the vehicle is dense is met, obtaining a better effect, and not carrying out vehicle detection on the read video image in the background extraction process. The background updating adopts a method of extracting the background at intervals and updating the background: a timer is set in the program, the program starts to perform a new round of background extraction at intervals, in the background extraction process, the program performs vehicle detection, the background used at the moment is the last extracted background, after the current background is extracted, the last background is covered by the current background, and the vehicle detection of the next frame of the image uses the updated background, namely the current background, to perform detection. The slow change of light and natural conditions can be effectively inhibited, and the effect of detecting the vehicle by using the background difference algorithm can be improved. When the vehicle passes through the virtual coil, the sum of the absolute value differences between the current gray value of all pixels in the virtual coil and the gray value of the pixel corresponding to the background changes, and the sum of the absolute value differences between the gray value of the current image of all pixels in the coil and the gray value of the background image is used as a variable. Under the condition that no vehicle passes through the virtual coil, the current image information in the virtual coil is kept relatively constant, and the gray value change of pixel points in the coil is small. Then, when a vehicle starts to enter the area of the virtual coil, the value gradually increases due to the huge difference between the gray values of the background and the vehicle pixels; the value of the vehicle leaving the virtual coil area will also gradually decrease, and the value becomes small when the vehicle completely leaves. Therefore, the vehicle can be detected based on the change in the color, gradation, or the like of the pixels of the detection line.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (9)
1. A virtual coil video-based vehicle detection system, comprising: a camera (1), a server (2), a terminal (3) and a vertical rod (4), the upright stanchion (4) is fixedly arranged at one side of a road, a control cabinet (5) and a driving part (6) are arranged on the upright stanchion (4), the driving part (6) is electrically connected with the control cabinet (5), one side of the upright rod (4) is provided with a sliding groove, a sliding rod (7) is connected to the sliding groove in a sliding manner, the driving part (6) drives the sliding rod (7) to move up and down, the slide bar (7) is rotatably connected with at least one camera (1), an embedded processor capable of simulating a virtual coil is arranged in the camera (1), the virtual coil is a virtual induction coil, the camera (1) is connected with the server (2) through a network, the server (2) is connected with the terminal (3) through a network.
2. The virtual coil video-based vehicle detection system according to claim 1, wherein two cameras (1) are rotatably connected to the slide bar (7), and the directions of the lenses of the two cameras (1) are opposite.
3. The virtual coil video-based vehicle detection system as claimed in claim 1, wherein a solar panel (8) is disposed on the top of the vertical rod (4), and the solar panel (8) is electrically connected to the control cabinet (5).
4. The vehicle detection system based on the virtual coil video is characterized in that a street lamp (9) is installed on the sliding rod (7), and the street lamp (9) is electrically connected with the control cabinet (5).
5. The virtual coil video-based vehicle detection system according to claim 1, wherein the driving member (6) is a motor.
6. The vehicle detection system based on the virtual coil video is characterized in that a first connecting rod (10) is fixedly connected to the bottom of the sliding rod (7), a ball axle (11) is arranged at the bottom of the first connecting rod (10), a second connecting rod (12) is fixedly connected to the camera (1), and the second connecting rod (12) is rotatably connected to the ball axle (11).
7. The virtual coil video-based vehicle detection system according to claim 1, wherein the camera (1) is a CCD camera.
8. A vehicle detection method based on a virtual coil video is characterized by comprising the following steps:
1) an embedded processor capable of simulating a virtual coil is arranged in the camera, and the virtual coil is set as a detection area line;
2) shooting images when the vehicle passes through the detection line and images when the vehicle does not pass through the detection line;
3) transmitting the shot image information to a server, and comparing the color and the gray level of the image when the vehicle passes through the detection line with the image when the vehicle does not pass through the detection line;
4) and detecting vehicles according to the comparison result and obtaining related traffic flow parameters.
9. The method for detecting the vehicle based on the virtual coil video is characterized in that the step 3) further comprises image foreground extraction, image filtering processing and image edge enhancement.
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| CN202011386235.0A CN112509324A (en) | 2020-12-01 | 2020-12-01 | Vehicle detection system and method based on virtual coil video |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011386235.0A CN112509324A (en) | 2020-12-01 | 2020-12-01 | Vehicle detection system and method based on virtual coil video |
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2020
- 2020-12-01 CN CN202011386235.0A patent/CN112509324A/en active Pending
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|---|---|---|---|---|
| CN101251927A (en) * | 2008-04-01 | 2008-08-27 | 东南大学 | Vehicle detecting and tracing method based on video technique |
| CN101510358A (en) * | 2009-03-20 | 2009-08-19 | 吉林大学 | Method and apparatus for processing real time statistical vehicle flowrate using video image |
| US20140132758A1 (en) * | 2012-11-15 | 2014-05-15 | Videoiq, Inc. | Multi-dimensional virtual beam detection for video analytics |
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