CN2442334Y - Video car flow detector - Google Patents

Video car flow detector Download PDF

Info

Publication number
CN2442334Y
CN2442334Y CN 00249136 CN00249136U CN2442334Y CN 2442334 Y CN2442334 Y CN 2442334Y CN 00249136 CN00249136 CN 00249136 CN 00249136 U CN00249136 U CN 00249136U CN 2442334 Y CN2442334 Y CN 2442334Y
Authority
CN
China
Prior art keywords
video
card
motherboard
utility
model
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN 00249136
Other languages
Chinese (zh)
Inventor
叶玉飞
黄建锋
曹盖天
叶小军
Original Assignee
叶玉飞
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 叶玉飞 filed Critical 叶玉飞
Priority to CN 00249136 priority Critical patent/CN2442334Y/en
Application granted granted Critical
Publication of CN2442334Y publication Critical patent/CN2442334Y/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Images

Landscapes

  • Traffic Control Systems (AREA)
  • Closed-Circuit Television Systems (AREA)

Abstract

The utility model relates to a video vehicle flow detector which has the advantages of simple structure and small operation amount. The utility model is provided with a main machine, a power supply and a video camera head. In the utility model, the inner parts of four PCI slots of a main machine plate are provided with a video capturing card, a display card, a network card and a serial communication card; the main machine plate is inserted with a CPU and a memory bank and is connected with a hard disc; the video signal output end of the video camera head is connected with the video capturing card by a video connecting line; a couple capacitor C1 is connected in series between the video signal output end of the video camera head and the video connection line; a coupling capacity C2 connected in series between the video connecting line and the video capturing card is positioned in the main machine. The utility model can detect vehicle flow traffic volume, average speed, vehicle flow density and time headway in real time.

Description

Video wagon flow pick-up unit
The utility model relates to video detecting device, and video wagon flow pick-up unit particularly specifically is meant the device that the volume of traffic, average velocity, vehicle density and time headway to the vehicle by road, bridge, tunnel detect automatically.
The video detection system of proposition employing already detects the stream of people in the footpound force traffic zone, method is to produce this regional video image by video camera, this video image is divided into PEL matrix, whole matrix is carried out analyzing and processing, to add up this regional number and each one route of detection.Owing to need carry out analyzing and processing to whole PEL matrix, operand is very big, can not be used in real time wagon flow being detected, and be the video imaging system that 97198816.1 application for a patent for invention prospectus discloses as application number.
The video wagon flow pick-up unit that the purpose of this utility model is to provide a kind of simple structure, energy real-time statistics that operand is little to go out to travel on the road surface volume of traffic, average velocity, vehicle density and the time headway of vehicle.
The technical solution of the utility model video wagon flow pick-up unit is to be provided with to comprise camera, main frame and power supply, be provided with motherboard in the main frame, described power supply is connected in the power input of motherboard, its special character is to be inserted with video frequency collection card, display card, network interface card and serial communication card respectively in 4 PCI slots of motherboard, be inserted with CPU in the CPU slot of motherboard, be inserted with memory bar in the memory bank of motherboard, be connected with hard disk in the hard-disk interface of motherboard; The VT of camera is connected with the video signal input terminal of video frequency collection card through the video connecting line.
Be serially connected with coupling capacitor C 1 between its VT of described camera and the video connecting line, be serially connected with coupling capacitance C2 between the video signal input terminal of video connecting line and video frequency collection card and be positioned at described main frame.
Described power supply can be connected with the power input of camera.
Camera described in the utility model uses is aimed at detected road surface.On the road surface artificial set distance one in front and one in back known two detection lines, the vehicle that travels on the road surface passes through these two detection lines in succession, camera produces the vision signal of reflection car flow information, video frequency collection card is the image of a frame one frame with this video signal digitization, CPU is by the image in the motherboard extracting video frequency collection card, take out the pixel data on two detection lines wherein setting, be kept in the memory bar, carry out vector calculation, be used for detecting the volume of traffic, average velocity, vehicle density and the time headway of vehicle by these two detection lines.
According to the utility model, the brightness value change list of pixel data is shown a vector on the detection line, become one 0 after this vectorial binaryzation, 1 vector, these vectors were lined up by the time, just become two look images that have only information of vehicles, so just can count that the number of vehicle is the volume of traffic in the wagon flow.
Distance between artificial two detection lines setting is known, the time of vehicle by these two detection lines is that same vehicle appears at the mistiming between two frames on two detection lines first respectively, so, the speed of vehicle be distance between two detection lines divided by the mistiming, the speed of wagon flow is the average velocity of all vehicles.
Vehicle density is the result of the volume of traffic divided by wagon flow average velocity.
Time headway is that tandem in succession two cars appears at the mistiming between two frames on same the detection line first respectively.
Network interface card that is plugged in the motherboard and serial communication card have communication function, the data that come out can be sent to a distant place, also can receive data and order that a distant place sends over.
The utility model establish motherboard and on the capture card, display card, network interface card, serial communication card, CPU, memory bar and the hard disk that are plugged, so simple in structure, easy for installation; Only need when the utility model uses two row in the whole PEL matrix of pixel on two detection lines are carried out detection computations, do not need whole PEL matrix is calculated, so operand greatly reduces; The utility model utilizes the two-value vector to calculate, and has the fast characteristics of computing velocity; Again because the utility model can detect the wagon flow volume of traffic, average velocity, vehicle density and time headway, so multiple functional; The utility model motherboard also has communication function, and the work of therefore can networking can long-rangely be provided with it.
Below in conjunction with description of drawings embodiment of the present utility model.
Fig. 1 is the utility model video wagon flow pick-up unit structural representation block diagram;
Fig. 2 is that this device uses schematic block diagram;
Fig. 3 is this device main frame outside drawing.
Be labeled as among the figure: 1 camera video signal output part, 2 camera power inputs, 3 video signal input terminals, 4 power output ends, 5 power output ends, 10 cameras, 11 video connecting lines, 12 video frequency collection cards, 13 display cards, 14 network interface cards, 15 serial communication cards, 16 PCI slots, 17 PCI slots, 18 PCI slots, 19 PCI slots, 20 motherboards, 21 CPU slots, 22 memory slots, 23 power inputs, 24 hard-disk interfaces, 25 CPU, 26 memory bars, 27 power supplys, 28 hard disks, 30 road surfaces, 31 detection lines, 32 detection lines, 33 main-machine communication mouths, 34 main frame vision signal input ports, 35 host power supply input ports, 36 host power switch.
A kind of video wagon flow pick-up unit of present embodiment is provided with camera 10, main frame and power supply 27, and wherein camera adopts the CP-450 of Panasonic colour TV camera, and power supply is the standard computer power; Being provided with model in the described main frame is the motherboard 20 of GA-BX2000, power supply 27 is connected in the power input 23 of motherboard 20, the PCI slot 16 of motherboard 20, PCI slot 17, be inserted with AverEZCapture type video frequency collection card 12 in PCI slot 18 and the PCI slot 19 respectively, ASUS V3400 display card 13, Dlink 10M network interface card 14 and MOXA four-hole serial communication card 15, be inserted with IntelPIII450 type CPU 25 in the CPU slot 21 of motherboard 20, be inserted with the memory bar 26 of capacity 64M in the memory bank 22 of motherboard 20, be connected with the hard disk 28 of capacity 2G in the hard-disk interface 24 of motherboard 20; The VT 1 of camera 10 is connected with the video signal input terminal 3 of video frequency collection card 12 through video connecting line 11 (75 Ω concentric cable); Be serially connected with coupling capacitor C 1 between the VT 1 of camera 10 and the video connecting line 11, be serially connected with coupling capacitance C2 between the video signal input terminal 3 of video connecting line 11 and video frequency collection card 12 and be positioned at described main frame; The output terminal 5 of power supply 27 is connected with the power input 2 of camera 10 through a line of described concentric cable.Described main frame is provided with power switch 36, power supply input port 35, vision signal input port 34 and communication port 33, wherein the power supply input port can be connected with power supply 27, the vision signal input port can be connected with camera 10, and communication port is the external tapping of network interface card 14 and serial communication card 15.
When the utility model uses, camera 10 is aimed at tested road surface 30, the people is provided with the one in front and one in back certain detection line 31,32 of two stripe pitch on the road surface 30.30 through out-of-date, camera 10 produces the vision signal of reflection car flow information to vehicle from the road surface, and this vision signal is sent to video frequency collection card 12 through connecting line 11, and video frequency collection card 12 is the image of a frame one frame, i.e. PEL matrix with the video signal digitization of receiving.CPU 25 on the motherboard 20 and memory bar 26 can extract the pixel data that is positioned at two detection lines 31,32 in each two field picture from video frequency collection card 12.The brightness value change list of pixel data is shown a vector on the detection line 31,32, become one 0 after this vectorial binaryzation, 1 vector, wherein vehicle is 1 through part, background is that the road surface part is 0, there is certain spacing between the vehicle, therefore inevitable " 0 " by the expression road surface separates between the two cars, these vectors were lined up by the time, just become two look images that have only information of vehicles, with background parts with black represent, vehicle represents with white, like this, by quantity statistics, just can draw that the number of vehicle is the volume of traffic in the wagon flow to white portion.
When passing through detection line 31 such as a car, video frequency collection card 12 collects 8 frame data (also can be other frame number), obtain 8 vectors after the binaryzation, there is a string " 1 " of expression vehicle sections to exist in first vector, therefore will represent in memory bar 26 that the parameter of the volume of traffic adds 1, also there is a string " 1 " of expression vehicle sections to exist in second vector, a string " 1 " in these two vectors carry out step-by-step " with " time vector that obtains still have a string " 1 " to exist, what their expressions were described is same car, does not therefore add 1.Before next car arrives, the data that video frequency collection card 12 collects on detection line 31, the vector that obtains after the binaryzation represent the current vehicle process that do not have for complete " 0 ", and a last car passed through, so does not add 1.Next car is when the detection line 31, and situation is equally handled with last car, will represent in memory bar 26 that the parameter of the volume of traffic adds 1, and circular treatment like this draws that the number of all vehicles is the volume of traffic in the wagon flow.
When a same car passes through detection line 31, video frequency collection card 12 collects 8 frame data, obtains 8 vectors after the binaryzation, has a string " 1 " of expression vehicle sections to exist in first vector, the expression vehicle is first by detection line 31, and the time that record obtains first frame data is T1; During same vehicle passing detection line 32, video frequency collection card 12 collects greater than the data that equal or be not equal to 8 frames more than 2 frames, obtain the vector of corresponding number after the binaryzation, there is a string " 1 " of expression vehicle sections to exist in first vector, its expression vehicle is first by detection line 32, and the time that record obtains first frame data is T2.Distance between artificial two detection lines 31,32 of setting is known, is made as S, and then the speed of vehicle equals S/ (T2-T1), and the average velocity of wagon flow is the average velocity of all vehicles.Vehicle density equals the volume of traffic divided by wagon flow average velocity.When same next car passes through detection line 31, video frequency collection card 12 collects greater than the data that equal or be not equal to 8 frames more than 2 frames, obtain the vector of corresponding number after the binaryzation, there is a string " 1 " of expression second car part to exist in first vector, the expression second car is first by detection line 31, and the time that record obtains first frame data is T3; Time headway is that tandem in succession two cars appears at the mistiming between two frames on same the detection line 31 first respectively, and promptly time headway equals T3-T1.
Also have communication function on the motherboard 20, as serial communication card 15 or Ethernet card 14, communication function connects away by the communication port on the main frame 33, is used for communicating with a distant place, and statistics is sent to a distant place and receives data and the order that a distant place sends over.Article two, the setting of detection line 31,32 can be provided with by a distant place by communication port 33.
During installation, earlier host switch 36 is closed, camera 10 is connected the back inserts input port 34 with the vision signal connecting line, power supply input port 35 is connected with power supply, at last power switch 36 is opened, device enters duty.

Claims (3)

1, a kind of video wagon flow pick-up unit, comprise camera (10), main frame and power supply (27), be provided with motherboard (20) in the main frame, power supply (27) is connected in the power input (23) of motherboard (20), the PCI slot (16) that it is characterized in that motherboard (20), PCI slot (17), be inserted with video frequency collection card (12) respectively in PCI slot (18) and the PCI slot (19), display card (13), network interface card (14) and serial communication card (15), be inserted with CPU (25) in the CPU slot (21) of motherboard (20), be inserted with memory bar (26) in the memory bank (22) of motherboard (20), be connected with hard disk (28) in the hard-disk interface (24) of motherboard (20); The VT (1) of camera (10) is connected with the video signal input terminal (3) of video frequency collection card (12) through video connecting line (11).
2, video wagon flow pick-up unit as claimed in claim 1, it is characterized in that being serially connected with coupling capacitor C 1 between the VT (1) of camera (10) and the video connecting line (11), be serially connected with coupling capacitance C2 between the video signal input terminal (3) of video connecting line (11) and video frequency collection card (12) and be positioned at main frame ().
3, video wagon flow pick-up unit as claimed in claim 1 or 2 is characterized in that power supply (27) is connected with camera (10).
CN 00249136 2000-09-08 2000-09-08 Video car flow detector Expired - Fee Related CN2442334Y (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN 00249136 CN2442334Y (en) 2000-09-08 2000-09-08 Video car flow detector

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN 00249136 CN2442334Y (en) 2000-09-08 2000-09-08 Video car flow detector

Publications (1)

Publication Number Publication Date
CN2442334Y true CN2442334Y (en) 2001-08-08

Family

ID=33607627

Family Applications (1)

Application Number Title Priority Date Filing Date
CN 00249136 Expired - Fee Related CN2442334Y (en) 2000-09-08 2000-09-08 Video car flow detector

Country Status (1)

Country Link
CN (1) CN2442334Y (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101615342B (en) * 2008-06-27 2011-06-22 青岛海信电子产业控股股份有限公司 Vehicle detection method
CN102542799A (en) * 2011-12-19 2012-07-04 中山大学 Line acquisition video vehicle detector based on pavement marker and detecting method thereof
CN101107637B (en) * 2004-11-02 2013-02-06 传感电子公司 Line monitoring system and method
WO2013075373A1 (en) * 2011-11-21 2013-05-30 青岛海信网络科技股份有限公司 Saturation traffic determination method and device
CN104332053A (en) * 2014-11-13 2015-02-04 深圳大学 Road traffic inspection system and method based on small unmanned aerial vehicle

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101107637B (en) * 2004-11-02 2013-02-06 传感电子公司 Line monitoring system and method
CN101615342B (en) * 2008-06-27 2011-06-22 青岛海信电子产业控股股份有限公司 Vehicle detection method
WO2013075373A1 (en) * 2011-11-21 2013-05-30 青岛海信网络科技股份有限公司 Saturation traffic determination method and device
CN102542799A (en) * 2011-12-19 2012-07-04 中山大学 Line acquisition video vehicle detector based on pavement marker and detecting method thereof
CN104332053A (en) * 2014-11-13 2015-02-04 深圳大学 Road traffic inspection system and method based on small unmanned aerial vehicle

Similar Documents

Publication Publication Date Title
CN101902617B (en) Device and method for realizing video structural description by using DSP and FPGA
CN108806243A (en) A kind of traffic flow information acquisition terminal based on Zynq-7000
CN102759347B (en) Online in-process quality control device and method for high-speed rail contact networks and composed high-speed rail contact network detection system thereof
CN107845264A (en) A kind of volume of traffic acquisition system and method based on video monitoring
CN101719217A (en) Elastic relaxation algorithm-based vehicle type identification system and elastic relaxation algorithm-based vehicle type identification method
CN104217417B (en) A kind of method and device of video multi-target tracking
CN109740573A (en) Video analysis method, apparatus, equipment and server
CN110427814A (en) A kind of bicyclist recognition methods, device and equipment again
CN2442334Y (en) Video car flow detector
CN110110718B (en) Artificial intelligence image processing device
US11948373B2 (en) Automatic license plate recognition
CN105389561A (en) Method for detecting bus lane based on video
CN1725248A (en) Charged monitoring system for road charging monitoring and management section and its monitoring method
CN102915574A (en) Embedded intelligent traffic control toll terminal
CN209089078U (en) A kind of embedded six road panorama system towards motorbus
CN202771495U (en) Embedded intelligent traffic control toll terminal
Dickinson et al. Road traffic monitoring using the TRIP II system
CN108320531A (en) A kind of speed measuring equipment and velocity-measuring system
CN206353824U (en) A kind of notch of switch machine monitoring system based on binocular vision processing identification
CN104660470A (en) Device and method for detecting Rapid IO bus protocol
CN208027572U (en) A kind of speed measuring equipment and velocity-measuring system
CN114693556B (en) High-altitude parabolic frame difference method moving object detection and smear removal method
CN205566531U (en) Charge road junction video processing integration equipment
CN215186950U (en) Pedestrian red light running behavior evidence acquisition device based on face recognition technology
CN204652583U (en) There is the expressway tol lcollection surveillance of new network structure

Legal Events

Date Code Title Description
C14 Grant of patent or utility model
GR01 Patent grant
C19 Lapse of patent right due to non-payment of the annual fee
CF01 Termination of patent right due to non-payment of annual fee