EP0396432A2 - Dispositif de contrôle - Google Patents

Dispositif de contrôle Download PDF

Info

Publication number
EP0396432A2
EP0396432A2 EP90304912A EP90304912A EP0396432A2 EP 0396432 A2 EP0396432 A2 EP 0396432A2 EP 90304912 A EP90304912 A EP 90304912A EP 90304912 A EP90304912 A EP 90304912A EP 0396432 A2 EP0396432 A2 EP 0396432A2
Authority
EP
European Patent Office
Prior art keywords
incident
camera
images
image memory
controller
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.)
Withdrawn
Application number
EP90304912A
Other languages
German (de)
English (en)
Other versions
EP0396432A3 (fr
Inventor
Michael Dalgleish
David Fine
Bob Moreton
Andrew Watkins
John Jones
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
GOLDEN RIVER Ltd
Original Assignee
GOLDEN RIVER Ltd
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 GOLDEN RIVER Ltd filed Critical GOLDEN RIVER Ltd
Publication of EP0396432A2 publication Critical patent/EP0396432A2/fr
Publication of EP0396432A3 publication Critical patent/EP0396432A3/fr
Withdrawn legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/16—Anti-collision systems
    • G08G1/164—Centralised systems, e.g. external to vehicles
    • 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
    • G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors

Definitions

  • This invention relates to monitoring apparatus, particularly, but not exclusively for monitoring traffic flow in a tunnel.
  • Monitoring apparatus for intruder detection is known, for example that manufactured by the Vision Research Company Limited under the trade name Pixstore 256.
  • Such apparatus generally comprises a video camera connected to a monitor screen via a control unit which is further connected to an intruder detection device eg an infra red, micro wave, ultrasonic or perimeter type device, the control unit actuating an alarm and freezing the image from the video camera at the instant of detection thus allowing a 'snap shot' picture of the intrusion.
  • an intruder detection device eg an infra red, micro wave, ultrasonic or perimeter type device
  • monitoring apparatus comprising a camera, an image memory for storing images from the camera, an incident detector for generating an incident detection signal when an incident occurs, the image memory being responsive to the detection signal whereby a plurality of said images prior to the incident are identified; and means for reviewing said prior images.
  • the monitoring apparatus is used for detecting a traffic incident, preferably in a tunnel, the camera being a video camera providing images to a camera controller which stores the images periodically in an image memory.
  • the incident detector preferably comprises a road sensor, for sensing when a vehicle passes in the field of view of the camera and a processor for determining the occupancy of the road and, from this information, if an incident has occurred, the incident detector then generating the incident detection signal.
  • control unit is disposed at a central monitoring location, servicing a plurality of video cameras so that malfunction of the unit causes the whole monitoring system to be disabled.
  • monitoring apparatus comprising a plurality of monitoring stations each having a camera and a local camera controller, the camera controller having an image memory for storing images from the camera; and a remote central controller connected to the camera controllers for selectively receiving said stored images.
  • a method of determining the existence of a traffic incident comprising the steps of measuring the average speed of vehicles passing a sensor in a first time period, measuring the average speed of vehicles passing the sensor in second time period shorter than the first time period, calculating the difference between the average speeds for the two time periods and generating an incident detection signal when the difference is above a predetermined threshold.
  • the monitoring apparatus is arranged for use in traffic monitoring, to monitor and detect a traffic incident on a highway and, specifically, in a road tunnel.
  • a plurality of video cameras 10, 12, 14 are attached at spaced intervals to the wall of a tunnel, each camera having a field of view 22, 24, 26 which overlaps with the field of view of the preceding camera.
  • the cameras monitor one carriage way 30 having two lanes 32, 34 in the tunnel 20 and each camera 10, 12, 14 has associated therewith a plurality of vehicle sensors 40 - 53 .... of which sensors 40 - 45 are associated with camera 10 and sensors 46 - 51 are associated with camera 12.
  • the sensing of an incident by one or more of the sensors associated with the camera will cause the retention of images showing both the incident and the circumstances leading up to the incident.
  • the sensors in each lane are separated by a distance D which is chosen according to conditions and is preferably 60m.
  • FIG. 2 A block diagram of an embodiment of monitoring apparatus of the invention as a whole is shown in Figure 2.
  • Each camera 10, 12, is connected to a local camera controller 60, 62, 64 each controller processing images received from its respective camera. All camera controllers are connected to a central controller 66 remote from the camera sites via a data bus 70, the central controller having a supervising computer 72, with associated hard disc storage and hard copy facilities, a monitor 74 and a data conversion unit 76 shown in more detail in Figure 4 and formed of standard electronic circuits providing D/A and A/D conversion, modulation and demodulation and filtering of video signals and instructions.
  • the unit 76 acts as an I/O and processing interface between the computer 72, monitor 74 and camera controllers 60 - 64.
  • Camera controller 60 is shown in more detail in Figure 3 and includes an A/D converter 80 for converting the analogue video image signal from the video camera 10 to a digital equivalent and providing an output digital signal to a central processing unit 82.
  • the CPU 82 stores frames of the digital video image signal at intervals in a memory stack 84 typically having capacity for 32 frames with a resolution 192 x 300 pixels x 64 grey levels, implying a memory requirement of approximately 24 K bytes/frame.
  • the interval period may be either constant or variable and is preferably of at least one second duration, so that the memory stack provides a record of past events of at least 32 seconds duration.
  • the CPU 82 is further connected to a data interface for transmitting/receiving signals to/from central controller 66 via bus 70.
  • Each camera controller has a unique address and upon an instruction signal from the central computer 72 tagged with the address, can transmit real time video images direct from the video camera 10 or can transmit all or part of frame store 84. The camera controllers only transmits on instruction from central computer 66.
  • the CPU 82 is also responsive to an incident detection signal, from central control 66 on bus 70 or from an incident detector (described below) on data line 88 to freeze the contents of frame memory 84 in the event of an incident being detected, so that the contents of the frame store, which records past images prior to the detected incident are retained for transmission to the central controller 66, thus providing a record of the circumstances leading up to the detected incident.
  • the CPU can move a frame pointer so that some of the frames labelled F are stored and future, post incident images are stored higher up the stack, thus allowing retention of past events and at the same time continued monitoring of current events.
  • the frame memory 84 may optionally be formed as a robust detatchable cartridge eg of the type disclosed in co-pending European patent application No 89303333.2, this allowing removal and retrieval of image data held in the cartridge in the event of system failure.
  • the cartridge may be formed from physical and thermal shock resistant materials, for example a polycarbonate case having epoxy resin potting, so that retrieval of the cartridge when the camera controller has suffered all or partial destruction will still be possible.
  • Use of a detatchable cartridge also allows for corroboration, after an incident, between the content of the frame memory and the image data transmitted to the central controller 66.
  • the central controller 66 is further connected, via a data bus 90, to a plurality of incident detectors 92, 94, 96.
  • Each incident detector comprises a site controller 100, 102 104.
  • Each site controller has connected thereto three vehicle detection modules (VDMs) 120, 122, 124; 126; 128; 130; hence each of which contains signal processing circuitry for a pair of the vehicle sensors 40, 41 ...., the pair being connected to the respective VDM.
  • VDMs vehicle detection modules
  • Each site controller is further connected to an associated one of the camera controllers via signal lines 140, 142, 144.
  • the vehicle detection module 120 is shown in more detail in Figure 6.
  • the road sensor 40 comprises a square four turn inductive loop 200 which is connected to the VDM 120 via an isolating transformer 210.
  • the VDM includes an alternating current source 220 having a frequency of approximately 60 kHz and a frequency measuring circuit comprising a programmable down counter 230, an elapse counter 240 connected to counter 230 by line 235 and driven by high speed clock (10 MHz) 250 for measuring the duration of the oscillation count and a CPU 260.
  • Each sensor 40, 41 has its own alternating current source 220, the frequency measuring circuit being connected to one or other of the sensors by means of switch 270 under control of CPU 260 in a time division manner.
  • the CPU 260 switches between sensors 40, 41 at one millisecond intervals.
  • the senor 40 is placed in the road lane either attached on the road surface or sunk into the road surface.
  • the inductance of the loop 200 will drop when a metal bodied vehicle passes over. This in turn will affect the oscillation frequency of the circuit comprising the loop 200 and source 220.
  • the frequency measuring circuit measures this frequency by counting down a selected number of oscillations of the alternating voltage signal; when the counting operation is being performed, a signal on line 235 changes level thus providing a start/stop signal to counter 240 which measures the time duration of the count, this giving the period of the alternating signal and thus its frequency.
  • the count value is passed to CPU 260 via bus 255.
  • the CPU controls the counter to output a start/stop signal on line 235 after a plurality of oscillations (eg 8, 16 or 32) selected by user configurable switches 237, to improve resolution accuracy.
  • a plurality of oscillations eg 8, 16 or 32
  • the CPU 260 processes the counter information and compares the derived frequency measurement with a threshold, producing a true/false signal indicating presence adjacent the loop 40 of a vehicle.
  • the signal is sent to the site controller 100 on bus 265.
  • the site controller 120 is shown in more detail in Figure 5 and is of stand alone construction, based on the MARKSMAN 600 traffic management controller manufactured by the applicants.
  • the site controller 120 has a I/O circuit 300 which received frequency information signals on buses 265 - 267 from respective VDMs 120, 122, 124.
  • the I/O circuit also provides an output on bus 140 to camera controller 60.
  • the I/O circuit and all other functions of the site controller are controlled by a CPU 310 to which is further connected a keyboard/display 315, to allow on site initialisation and input/output of data from the site controller, a data cartridge 320 and interface 325 preferably of a type disclosed in European patent application No 89303333.2, for storing incident and occupancy data, a ROM/RAM 355 for storing CPU programmes and operational data and a network interface 330 which provides a communications link with data bus 90.
  • the network interface 330 includes a processor 335 and two port universal asyncronous receiver transmitter (UART) 340 for data transfer.
  • a switched bypass bus 350 having a plurality of electromechanical relays is further provided, the relays being biased closed but held open by the site controller CPU 310.
  • the bus 350 acts to 'short circuit' the network interface 330 in the event of power failure of the site controller 120 or when the site controller cannot make sense of signals being transmitted through UART 340, so that failure of one site controller will not affect the operation of others connected to data bus 90 downstream of the failed site controller.
  • the CPU has random access and read only memories 355 for internal data storage and for storing control and incident identification programmes.
  • the site controller 120 is connected to a power supply and also has a local backup supply in the form of a rechargable battery (not shown) for use in the event of a general power failure.
  • the site controller receives the vehicle presence information from the VDMs 120, 122, 124 and from this calculates the degree of 'occupancy' and 'density' of any one sensor by vehicles. Occupancy is defined as the number of consecutive seconds that a vehicle has been sensed as present by the sensor.
  • Density is defined as the percentage time in a given time interval that the loop has sensed the presence of a vehicle or vehicles. This information is then used to calculate if a traffic incident has occurred in accordance with an algorithm.
  • HOCC high occupancy
  • TRRL Transport and Road Research Laboratory
  • the HIOCC algorithm as disolosed in the above documents, the contents of which are incorporated herein by reference, operates by detecting stationary or slow moving vehicles to indicate a traffic queue caused by an incident or by congestion. It looks for several consecutive seconds of high detector occupancy to detect queues and incidents in high traffic flows.
  • a programme in accordance with the flow diagram of Figure 3 of report 526 is stored in ROM in site controller 120 and CPU 310 processes the occupancy data from VDMs 120 - 124 in accordance with the programmed algorithm.
  • the resultant occupancy, density and incident data is stored locally in data cartridge 320 and is also sent to the central controller 66 via data bus 90.
  • an incident detection signal is sent both to the central controller and to the camera controller 60 associated with the site controller 100.
  • the incident detection signal causes the camera controller to freeze a predetermined number of images in the frame store 84 as previously described, thus providing a stored record of the circumstances leading up to the incident as detected by the incident detector.
  • the site controller uses a speed (as opposed to occupancy) based algorithm using two adjacent loop sensors eg 41, 43 in any one lane.
  • a speed (as opposed to occupancy) based algorithm using two adjacent loop sensors eg 41, 43 in any one lane.
  • Such an algorithm provides additional information concerning slow moving vehicles - which are, in themselves, a traffic hazard.
  • speeding violations may also be detected.
  • interval T1 representing a relatively longer period than T2.
  • the average speed in each interval T1, T2 is calculated and updated as each vehicle passes, giving average speeds S1, S2.
  • the difference between these speeds (S1­-S2) gives an indication of short term speed variation away from the long term average and if over a predetermined threshold SD gives an indication of an incident.
  • the site controllers 100, 102, 104 form nodes of a local area network (LAN) having a standard format and operating protocols, each node passing messages along the data bus 90.
  • LAN local area network
  • Each controller has a unique network identifier, with identifiers being reserved for 'all stations' called and the central control 66.
  • the topology of the network is a daisy chain with out going messages being passed to the end of the line and incoming messages being passed back to the central controller 66.
  • Each site controller is responsible for passing messages along the line when a character arrives it is buffered until the whole message is complete. It is then retransmitted.
  • a site controller When a site controller has a message of its own for the central controller 66, it tests the status of the incoming line from the previous site controller. If the line is busy, the site controller will continue to re-tranmsit data from the previous site controller until the line is clean, at which point the site controller will commence transmission of its own message. During this time any incoming messages from the outlying site controllers will be buffered in the site controller UART for re-transmission at the earliest opportunity.
  • Site controllers are assigned unique addresses and all messages from site controllers to the central controller 66 are tagged with this address. Messages from the central controller to site controllers are either 'all stations' to all site controllers or 'addressed' to individual site controllers.
  • Messages are transmitted along the LAN as the data field of a network packet, packets having the following format:
  • the packet receiving protocol for each site controller is as follows:
  • the packet sending protocol of the site controllers is as follows:
  • the central controller 66 will poll the status of each site controller by sending a request for a status packet. In reply to the status request the units will respond with a data packet giving the following parameters:
  • the sensing unit sends an incident detection packet to the central controller 66.
  • the central controller 66 acknowledges receipt of the packet (otherwise the packet is re-sent).
  • the central controller then acts to freeze the memory store for the relevant camera/camera controller.
  • an incident detection signal is sent direct from the site controller to its associated camera controller.
  • the invention may be used in a driver's cab of a train, the incident detector being responsive to an automatic warning system (AWS) 'line occupied' signal showing, for example, when a train has gone through a danger signal.
  • AWS automatic warning system
  • the incident detector could be a sensor connected to the front buffers of the train so that data is stored on impact with another vehicle or object on the track. In such circumstances, the data cartridge could be made to 'black box' standards.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)
EP19900304912 1989-05-05 1990-05-04 Dispositif de contrôle Withdrawn EP0396432A3 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
GB8910419A GB2231753A (en) 1989-05-05 1989-05-05 Traffic incident monitoring with vido cameras
GB8910419 1989-05-05

Publications (2)

Publication Number Publication Date
EP0396432A2 true EP0396432A2 (fr) 1990-11-07
EP0396432A3 EP0396432A3 (fr) 1991-04-10

Family

ID=10656310

Family Applications (1)

Application Number Title Priority Date Filing Date
EP19900304912 Withdrawn EP0396432A3 (fr) 1989-05-05 1990-05-04 Dispositif de contrôle

Country Status (3)

Country Link
EP (1) EP0396432A3 (fr)
CA (1) CA2016088A1 (fr)
GB (1) GB2231753A (fr)

Cited By (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0479698A1 (fr) * 1990-10-05 1992-04-08 Francis Guillot Dispositif de détection d'anomalies de circulation intégrée sur site dans une armoire
EP0621572A1 (fr) * 1993-04-20 1994-10-26 Gatsometer B.V. Méthode et dispositif pour l'enregistrement électronique d'un incident par exemple une infraction au code de la route
EP0651364A1 (fr) * 1989-06-08 1995-05-03 Alcatel Austria Aktiengesellschaft Dispositif de surveillance des limites de vitesse des usagers de la route
EP0674293A2 (fr) * 1994-03-24 1995-09-27 Omron Corporation Système de caméra de véhicule
WO1998053437A1 (fr) * 1997-05-20 1998-11-26 Hoummady Bouchaib Procede et dispositif pour la gestion de la circulation routiere utilisant la camera video comme source d'information
EP0898840A1 (fr) * 1996-04-22 1999-03-03 Sensormatic Electronics Corporation Memorisation repartie de donnees video dans un systeme de surveillance video
FR2785432A1 (fr) * 1998-10-30 2000-05-05 Citilog Procede permettant d'analyser l'etat d'une portion de voie et de son environnement
EP1189442A3 (fr) * 2000-09-13 2003-04-09 Dynamit Nobel GmbH Explosivstoff- und Systemtechnik Surveillance d'une aire en collation d'images fixes
SG110061A1 (en) * 2002-07-19 2005-04-28 Sumitomo Electric Industries Image processing device, image processing method and vehicle monitoring system
US6925377B2 (en) * 2000-12-30 2005-08-02 Goddert Peters Tunnel monitoring system in a vehicle tunnel
FR2884018A1 (fr) * 2005-03-31 2006-10-06 Neavia Technologies Soc Par Ac Procede et systeme de detection de la presence d'un objet genant, et module d'activation pour ce systeme
EP1486928A3 (fr) * 2003-06-12 2007-04-11 Redflex Traffic Systems PTY LTD. Système automatique de surveillance et de rapport d'infractions au code de la route
WO2008059538A1 (fr) * 2006-11-15 2008-05-22 Aitek S.P.A. Procédé et appareil pour déterminer la distance entre deux véhicules passant le long d'une section de route ou d'autoroute, en particulier dans un tunnel
US7460691B2 (en) 1999-11-03 2008-12-02 Cet Technologies Pte Ltd Image processing techniques for a video based traffic monitoring system and methods therefor
DE102007044820A1 (de) * 2007-09-20 2009-04-02 Insta Elektro Gmbh Bussystem und Verfahren für dessen Betrieb
EP1671293A4 (fr) * 2003-10-09 2009-04-22 Moreton Bay Corp Pty Ltd Systeme et procede de surveillance video
EP2096611A1 (fr) 2008-02-28 2009-09-02 Neavia Technologies Procédé et dispositif de détection multi-technologie de véhicule
CN102682601A (zh) * 2012-05-04 2012-09-19 南京大学 基于优化svm的高速公路交通事件检测方法
CN105788269A (zh) * 2016-05-12 2016-07-20 招商局重庆交通科研设计院有限公司 基于无人机的异常交通识别方法
WO2017116325A1 (fr) * 2015-12-30 2017-07-06 Hasan Kalyoncu Universitesi Détection de véhicules en temps réel dans les tunnels routiers
NO20161017A1 (en) * 2016-06-16 2017-12-18 Roxel Aanestad As Tunnel monitoring system and method of operation

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5809161A (en) * 1992-03-20 1998-09-15 Commonwealth Scientific And Industrial Research Organisation Vehicle monitoring system
GB2320389B (en) * 1996-12-12 2000-08-09 Leo Dickinson Video recording device
GB2352072A (en) * 1999-06-23 2001-01-17 Abbas Haydari Recording and playback system
CN107507414B (zh) * 2017-07-05 2020-12-11 湖北鑫美企业发展股份有限公司 一种十字路***通流量监控装置

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FR2082432A5 (fr) * 1970-03-16 1971-12-10 Evr
DE3015737A1 (de) * 1979-04-30 1980-11-13 Eumig Aufnahmeeinrichtung
GB2064189A (en) * 1979-11-09 1981-06-10 Ascotts Ltd Surveillance System
EP0236170A1 (fr) * 1986-01-23 1987-09-09 Segin Societe D'etudes Et De Gestion Informatique Nouvelle Dispositif et procédé de surveillance à distance de sites, comportant des moyens de détection d'évenements anormaux, des moyens d'écoute phoniques et des moyens d'observation vidéo

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IT1095061B (it) * 1978-05-19 1985-08-10 Conte Raffaele Apparecchiatura per la registrazione magnetica di eventi casuali relativi a mezzi mobili
DE3333078A1 (de) * 1983-09-14 1985-03-21 Atis Assmann GmbH, 6380 Bad Homburg Video-ueberwachungseinrichtung
WO1988009023A1 (fr) * 1987-05-08 1988-11-17 Viktor Szabo Systeme d'enregistrement de donnees relatives a un accident

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR2082432A5 (fr) * 1970-03-16 1971-12-10 Evr
DE3015737A1 (de) * 1979-04-30 1980-11-13 Eumig Aufnahmeeinrichtung
GB2064189A (en) * 1979-11-09 1981-06-10 Ascotts Ltd Surveillance System
EP0236170A1 (fr) * 1986-01-23 1987-09-09 Segin Societe D'etudes Et De Gestion Informatique Nouvelle Dispositif et procédé de surveillance à distance de sites, comportant des moyens de détection d'évenements anormaux, des moyens d'écoute phoniques et des moyens d'observation vidéo

Cited By (31)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0651364A1 (fr) * 1989-06-08 1995-05-03 Alcatel Austria Aktiengesellschaft Dispositif de surveillance des limites de vitesse des usagers de la route
FR2667710A1 (fr) * 1990-10-05 1992-04-10 Guillot Francis Dispositif de detection d'anomalies de circulation integree sur site dans une armoire.
EP0479698A1 (fr) * 1990-10-05 1992-04-08 Francis Guillot Dispositif de détection d'anomalies de circulation intégrée sur site dans une armoire
EP0621572A1 (fr) * 1993-04-20 1994-10-26 Gatsometer B.V. Méthode et dispositif pour l'enregistrement électronique d'un incident par exemple une infraction au code de la route
NL9300671A (nl) * 1993-04-20 1994-11-16 Gatsometer Bv Werkwijze en inrichting voor het elektronisch vastleggen van een gebeurtenis, bijvoorbeeld een verkeersovertreding.
EP0674293A3 (fr) * 1994-03-24 1998-12-30 Omron Corporation Système de caméra de véhicule
EP0674293A2 (fr) * 1994-03-24 1995-09-27 Omron Corporation Système de caméra de véhicule
EP0898840A1 (fr) * 1996-04-22 1999-03-03 Sensormatic Electronics Corporation Memorisation repartie de donnees video dans un systeme de surveillance video
EP0898840A4 (fr) * 1996-04-22 2000-04-19 Sensormatic Electronics Corp Memorisation repartie de donnees video dans un systeme de surveillance video
FR2763726A1 (fr) * 1997-05-20 1998-11-27 Bouchaib Hoummadi Procede de gestion de la circulation routiere par camera video
WO1998053437A1 (fr) * 1997-05-20 1998-11-26 Hoummady Bouchaib Procede et dispositif pour la gestion de la circulation routiere utilisant la camera video comme source d'information
FR2785432A1 (fr) * 1998-10-30 2000-05-05 Citilog Procede permettant d'analyser l'etat d'une portion de voie et de son environnement
US7460691B2 (en) 1999-11-03 2008-12-02 Cet Technologies Pte Ltd Image processing techniques for a video based traffic monitoring system and methods therefor
EP1189442A3 (fr) * 2000-09-13 2003-04-09 Dynamit Nobel GmbH Explosivstoff- und Systemtechnik Surveillance d'une aire en collation d'images fixes
US6925377B2 (en) * 2000-12-30 2005-08-02 Goddert Peters Tunnel monitoring system in a vehicle tunnel
SG110061A1 (en) * 2002-07-19 2005-04-28 Sumitomo Electric Industries Image processing device, image processing method and vehicle monitoring system
EP1486928A3 (fr) * 2003-06-12 2007-04-11 Redflex Traffic Systems PTY LTD. Système automatique de surveillance et de rapport d'infractions au code de la route
US7986339B2 (en) 2003-06-12 2011-07-26 Redflex Traffic Systems Pty Ltd Automated traffic violation monitoring and reporting system with combined video and still-image data
EP1671293A4 (fr) * 2003-10-09 2009-04-22 Moreton Bay Corp Pty Ltd Systeme et procede de surveillance video
FR2884018A1 (fr) * 2005-03-31 2006-10-06 Neavia Technologies Soc Par Ac Procede et systeme de detection de la presence d'un objet genant, et module d'activation pour ce systeme
EP1710767A1 (fr) * 2005-03-31 2006-10-11 Neavia Technologies Procédé et système de détection de la présence d'un objet gênant, et module d'activation pour ce système
US7460949B2 (en) * 2005-03-31 2008-12-02 Neavia Method and system for detecting the presence of a disruptive object and activation module for this system
WO2008059538A1 (fr) * 2006-11-15 2008-05-22 Aitek S.P.A. Procédé et appareil pour déterminer la distance entre deux véhicules passant le long d'une section de route ou d'autoroute, en particulier dans un tunnel
DE102007044820B4 (de) * 2007-09-20 2009-06-18 Insta Elektro Gmbh Bussystem und Verfahren für dessen Betrieb
DE102007044820A1 (de) * 2007-09-20 2009-04-02 Insta Elektro Gmbh Bussystem und Verfahren für dessen Betrieb
EP2096611A1 (fr) 2008-02-28 2009-09-02 Neavia Technologies Procédé et dispositif de détection multi-technologie de véhicule
CN102682601A (zh) * 2012-05-04 2012-09-19 南京大学 基于优化svm的高速公路交通事件检测方法
WO2017116325A1 (fr) * 2015-12-30 2017-07-06 Hasan Kalyoncu Universitesi Détection de véhicules en temps réel dans les tunnels routiers
CN105788269A (zh) * 2016-05-12 2016-07-20 招商局重庆交通科研设计院有限公司 基于无人机的异常交通识别方法
NO20161017A1 (en) * 2016-06-16 2017-12-18 Roxel Aanestad As Tunnel monitoring system and method of operation
NO342011B1 (en) * 2016-06-16 2018-03-12 Roxel Aanestad As Tunnel monitoring system and method of operation

Also Published As

Publication number Publication date
CA2016088A1 (fr) 1990-11-05
EP0396432A3 (fr) 1991-04-10
GB8910419D0 (en) 1989-06-21
GB2231753A (en) 1990-11-21

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