WO2004078552A1 - Procede et dispositif de surveillance de la plate-forme d'acces de vehicules - Google Patents

Procede et dispositif de surveillance de la plate-forme d'acces de vehicules Download PDF

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Publication number
WO2004078552A1
WO2004078552A1 PCT/AT2004/000073 AT2004000073W WO2004078552A1 WO 2004078552 A1 WO2004078552 A1 WO 2004078552A1 AT 2004000073 W AT2004000073 W AT 2004000073W WO 2004078552 A1 WO2004078552 A1 WO 2004078552A1
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WO
WIPO (PCT)
Prior art keywords
image
analysis
camera
carried out
vehicle
Prior art date
Application number
PCT/AT2004/000073
Other languages
German (de)
English (en)
Inventor
Walter Lorenz
Original Assignee
Walter Lorenz
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 Walter Lorenz filed Critical Walter Lorenz
Priority to EP04717518A priority Critical patent/EP1599373A1/fr
Publication of WO2004078552A1 publication Critical patent/WO2004078552A1/fr

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Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00—Burglar, theft or intruder alarms
    • G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19639—Details of the system layout
    • G08B13/19647—Systems specially adapted for intrusion detection in or around a vehicle
    • E—FIXED CONSTRUCTIONS
    • E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
    • E05F—DEVICES FOR MOVING WINGS INTO OPEN OR CLOSED POSITION; CHECKS FOR WINGS; WING FITTINGS NOT OTHERWISE PROVIDED FOR, CONCERNED WITH THE FUNCTIONING OF THE WING
    • E05F15/00—Power-operated mechanisms for wings
    • E05F15/40—Safety devices, e.g. detection of obstructions or end positions
    • E05F15/42—Detection using safety edges
    • E05F15/43—Detection using safety edges responsive to disruption of energy beams, e.g. light or sound
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/254—Analysis of motion involving subtraction of images
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00—Burglar, theft or intruder alarms
    • G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00—Burglar, theft or intruder alarms
    • G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
    • G08B13/19606—Discriminating between target movement or movement in an area of interest and other non-signicative movements, e.g. target movements induced by camera shake or movements of pets, falling leaves, rotating fan
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00—Burglar, theft or intruder alarms
    • G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19639—Details of the system layout
    • G08B13/19641—Multiple cameras having overlapping views on a single scene
    • E—FIXED CONSTRUCTIONS
    • E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
    • E05F—DEVICES FOR MOVING WINGS INTO OPEN OR CLOSED POSITION; CHECKS FOR WINGS; WING FITTINGS NOT OTHERWISE PROVIDED FOR, CONCERNED WITH THE FUNCTIONING OF THE WING
    • E05F15/00—Power-operated mechanisms for wings
    • E05F15/40—Safety devices, e.g. detection of obstructions or end positions
    • E—FIXED CONSTRUCTIONS
    • E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
    • E05F—DEVICES FOR MOVING WINGS INTO OPEN OR CLOSED POSITION; CHECKS FOR WINGS; WING FITTINGS NOT OTHERWISE PROVIDED FOR, CONCERNED WITH THE FUNCTIONING OF THE WING
    • E05F15/00—Power-operated mechanisms for wings
    • E05F15/70—Power-operated mechanisms for wings with automatic actuation
    • E05F15/73—Power-operated mechanisms for wings with automatic actuation responsive to movement or presence of persons or objects
    • E—FIXED CONSTRUCTIONS
    • E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
    • E05F—DEVICES FOR MOVING WINGS INTO OPEN OR CLOSED POSITION; CHECKS FOR WINGS; WING FITTINGS NOT OTHERWISE PROVIDED FOR, CONCERNED WITH THE FUNCTIONING OF THE WING
    • E05F15/00—Power-operated mechanisms for wings
    • E05F15/40—Safety devices, e.g. detection of obstructions or end positions
    • E05F15/42—Detection using safety edges
    • E05F15/43—Detection using safety edges responsive to disruption of energy beams, e.g. light or sound
    • E05F2015/434—Detection using safety edges responsive to disruption of energy beams, e.g. light or sound with optical sensors
    • E—FIXED CONSTRUCTIONS
    • E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
    • E05Y—INDEXING SCHEME RELATING TO HINGES OR OTHER SUSPENSION DEVICES FOR DOORS, WINDOWS OR WINGS AND DEVICES FOR MOVING WINGS INTO OPEN OR CLOSED POSITION, CHECKS FOR WINGS AND WING FITTINGS NOT OTHERWISE PROVIDED FOR, CONCERNED WITH THE FUNCTIONING OF THE WING
    • E05Y2400/00—Electronic control; Power supply; Power or signal transmission; User interfaces
    • E05Y2400/10—Electronic control
    • E05Y2400/52—Safety arrangements
    • E05Y2400/53—Wing impact prevention or reduction
    • E05Y2400/54—Obstruction or resistance detection
    • E—FIXED CONSTRUCTIONS
    • E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
    • E05Y—INDEXING SCHEME RELATING TO HINGES OR OTHER SUSPENSION DEVICES FOR DOORS, WINDOWS OR WINGS AND DEVICES FOR MOVING WINGS INTO OPEN OR CLOSED POSITION, CHECKS FOR WINGS AND WING FITTINGS NOT OTHERWISE PROVIDED FOR, CONCERNED WITH THE FUNCTIONING OF THE WING
    • E05Y2800/00—Details, accessories and auxiliary operations not otherwise provided for
    • E05Y2800/40—Protection
    • E—FIXED CONSTRUCTIONS
    • E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
    • E05Y—INDEXING SCHEME RELATING TO HINGES OR OTHER SUSPENSION DEVICES FOR DOORS, WINDOWS OR WINGS AND DEVICES FOR MOVING WINGS INTO OPEN OR CLOSED POSITION, CHECKS FOR WINGS AND WING FITTINGS NOT OTHERWISE PROVIDED FOR, CONCERNED WITH THE FUNCTIONING OF THE WING
    • E05Y2900/00—Application of doors, windows, wings or fittings thereof
    • E05Y2900/50—Application of doors, windows, wings or fittings thereof for vehicles
    • E05Y2900/51—Application of doors, windows, wings or fittings thereof for vehicles for railway cars or mass transit vehicles

Definitions

  • the invention relates to a method and a device for monitoring the entry area of vehicles, in particular rail vehicles, wherein the digital image signals recorded by at least one camera and possibly guided via an analog-digital converter are fed to a data processing device having a memory.
  • the object of the invention is therefore to create a method which on the one hand avoids the disadvantages indicated above and on the other hand is able to recognize fully automatically whether an object, in particular a person, is in the danger zone of the vehicle.
  • the object is achieved by the invention.
  • the method according to the invention is characterized in that the image signals are processed in a signal analyzer provided in the data processing device, with the image signals of individual images broken down into each pixel being summed over a certain period of time and / or a certain number of images for motion analysis and the mean value is formed and that a snapshot image is subtracted from this resulting image, the background image.
  • the invention it is possible for the first time to create a detection security for the boarding area of a vehicle which is equivalent to that of a train attendant.
  • people or objects or objects moving in the monitored area unlike unmoved people or objects, are clearly and unambiguously recognized.
  • the method according to the invention detects movements against a fixed background, the background being separated from the snapshot.
  • the images transmitted by the camera are summed in each pixel over a certain period of time t or a certain number of images and the mean value is formed.
  • the resulting image contains only quasi static, i.e. background information.
  • This motion detection is carried out by a so-called interframe
  • the snapshot is subtracted from the background image. If the resulting image is empty, ie all pixels are 0, there is no moving object in the image. Movements are thus correctly registered.
  • Moving people or objects must be able to be lifted perfectly from the background. If a movement is detected in the danger zone of the surveillance, for example within a range of up to 60 cm from the vehicle, there is a risk, the immobilizer or traction lock of the vehicle must be activated. In the case of immovable objects, it is essential whether they are an integral part of the environment to be monitored. Subsequently, only objects are spoken of and only there, where it is essential to make a distinction between people and objects.
  • the image resulting from the motion analysis is divided into corresponding rectangles, in particular squares, and the pixels contained in each partial rectangle are calculated with regard to mean value, scatter, bandwidth and mean deviation.
  • This image square analysis is used as a first approximation for motion detection.
  • the difference image is preferably subdivided into squares and the values shown above are calculated from each partial square over all pixels.
  • the most meaningful is the bandwidth of the pixels. All squares in which the bandwidth exceeds a presettable value are marked as “Danger”. If the number of these "endangered” squares exceeds a certain percentage, “Danger” is signaled. The percentage is calculated in relation to the size of the monitored area the size of a person or part of a human body as seen from the camera.
  • the calculation is carried out using the methods of statistical observation. This calculation method has proven to be very advantageous.
  • a structure analysis is carried out after the movement analysis, the gray value profile of an image being created along image lines and / or image columns for structure analysis, the structure, preferably shown in a diagram, being created.
  • the motion analysis reacts with video cameras, be it monochrome or color, even if moving shadows appear in the surveillance area.
  • the above The motion analysis described also reacts even if the shadows are moving. In this case, the snapshot changes significantly compared to the background image. A movement is consequently recognized, but this does not pose any danger to a person. Moving shadows in the surveillance area can often be expected, especially at the stops of local transport vehicles.
  • Structure grayscale profile along image lines or image columns.
  • a structure can therefore be represented as a diagram in an x-y curve.
  • two structures in particular the structures of the background image and the instant image, are compared with one another for a shadow analysis, the one structure being multiplied by a multiplication of all pixels by a factor k (k ⁇ > 0) and a shift by an offset d in the other structure is transferred.
  • Two structures are therefore similar if one structure can be transferred to the other. With shadow formation, the similarity of the structures is preserved.
  • the difference between two pixels is calculated globally via the image, a copy of the original image being created, this copy being shifted by one line and a column, and then the copy being subtracted from the original image.
  • intra-frame difference a step is taken to implement the shadow analysis.
  • the difference is formed both with a snapshot and with a background image and the images created in this way are divided. This step is also called interframe division. If one executes the intra-frame difference on the snapshot and background image and divides the resulting images, the corresponding factor k is obtained for each pixel.
  • the two difference images are compared with one another in rows and / or columns.
  • the tolerance setting means that smooth brightness transition at the shadow edges is tolerated.
  • the factor k is calculated at the beginning of an image line and followed up to the end of the line, as a result of which a tolerance bandwidth is created which is compared with the mean tolerance value over the image line. In and outside the shadow, the factor k is almost equal to the mean over the image line. At the shadow edges, it differs significantly from it. The sharper the edges, the greater the deviation. The places of greatest deviation localize the shadow edges. Very diffuse shadow edges are no longer recognized here. Sharp edges are eliminated in the contour analysis described below.
  • a contour analysis is carried out for a shadow analysis, possibly after the structure analysis, the factors k being entered in a matrix congruent with the image and the geometric width of the contour being calculated at the points of greatest deviation.
  • the second step in shadow detection is contour analysis.
  • the structure analysis alone does not allow shadows to be recognized without a doubt.
  • the steps outlined above are required.
  • the locations with the deviations of the factor k lying above the tolerance band are entered in a matrix congruent with the image.
  • the geometric width of the contour is calculated. The sharper the edge of the shadow, the narrower the contour. Margins with less than a specified minimum width can be eliminated here.
  • At least one image of the vehicle is stored in the data processing device, this image is optionally updated periodically and this image is compared in the data processing device with a snapshot, in particular with a snapshot taken shortly before the start of the journey ,
  • This comparative analysis assumes that the image of the vehicle itself does not change.
  • Two images are preferably saved: • The vehicle image with the door open • the vehicle picture with the door closed.
  • the image zone is set once during installation.
  • the update is carried out while driving by distinguishing between the moving and the still image area.
  • an object analysis is carried out, in particular for stationary objects in the entry area of the vehicle, this object analysis being carried out in the background image and a difference image being calculated according to claim 7, and the height layer lines which arise in the value profile and are parallel to the edge of the image with the Contour analysis can be combined.
  • a resting object equivalent to the background. The analysis of stationary objects is therefore only carried out in the background image.
  • the close outer area of a vehicle up to about 60cm distance is characterized by a uniform floor in all known cases. That can be, among other things
  • an object analysis is carried out, in particular for stationary objects in the entrance area of the vehicle, the basic period being determined from the gray value profile diagram of an image line parallel to the vehicle by means of the Fourier analysis.
  • This analysis is carried out when there is no platform, which is particularly the case with full railways, express railways or country roads. It will be a
  • Iteration method selected, consisting of Fourier analysis (spectral analysis) and image square analysis.
  • the contour analysis examines the floor on an existing platform.
  • the intra-frame difference image is first calculated. This creates "contour lines” in the value profile of the difference image. If the camera is arranged correctly, these contour lines lie parallel to the edge of the image. If there is only one elevation line, calculated from the edge of the picture, there is one platform edge, if there are 3 elevation lines, there is also the yellow edge.
  • a smooth structure must prevail between the contour lines, ie values almost zero must appear in the difference image. In any case, these lines must be recognizable in at least about half of the picture, then a platform is assumed and if this line is interrupted, "danger” is signaled or the iteration analysis with subsequent structure analysis is used.
  • Every homogeneous structure has a period in which it repeats itself.
  • the gray value profile of an image line parallel to the vehicle gives a periodic signal.
  • the basic period of this signal is determined by the Fourier analysis.
  • the object detection can be interrupted; there is no danger.
  • an object analysis is carried out, in particular for stationary objects in the entry area of the vehicle, the difference image being subdivided into rectangles, in particular squares, the size of which corresponds to the basic period, and for each rectangle the mean value, the bandwidth, and the scatter and the mean deviation is calculated.
  • the image square analysis already shown is also used here again. However, while the size of the image squares was previously freely selectable, it must match the basic period here. It does not matter whether the basic period shifts locally with the distance to the vehicle or not. If the gray value distribution is drawn in the form of a sine curve, it follows that the mean of the period, bandwidth, scatter and mean Deviation are constant. A deviation from the constant signals a disturbance of the homogeneity.
  • an iteration is carried out, an image being created from the calculated values of the rectangles, in which a rectangle is reduced to a pixel and these methods are carried out repeatedly until the resulting image is only parallel to one line Vehicle exists. From the previously calculated values of the image squares, new images are formed in which a square shrinks to a pixel. The iteration is terminated when there is only one image line parallel to the vehicle. The Fourier analysis of this last line then gives a pure DC component or only a fundamental wave. If significant harmonics are still present, an object can be expected.
  • a structural analysis is carried out after the iteration. Since shadows cannot be differentiated from objects according to the iteration process, a previously described structure analysis must be carried out when an object is recognized.
  • a distance analysis is carried out using two cameras, each camera creating an image at the same time and the contours being filtered from each image, and then aligning both images by line-by-line displacement along the vehicle become.
  • the distance analysis method is of particular importance because it immediately recognizes and hides all shadows. Using two monochrome or color video cameras, for example, the distance of an object from the plane of the cameras is measured as follows:
  • the geometrical arrangement of the cameras relative to the floor and to each other is known.
  • the cameras are set so that they are exactly the same on the ground Take picture. Since the setting is done electronically, this is not a problem.
  • the images are recorded at the same time. This requires two mutually independent image converters with a memory unit.
  • the recording itself is triggered by the image analysis device.
  • both images are made to coincide by shifting them line by line along the vehicle. If both images coincide, the object height can be calculated from the shift. The larger the shift, the larger the object. According to the definition, the images are covered when the subtraction of the overlapping regions approaches zero. In the case of pure shadow formation, there is image coverage without image shift.
  • the calculation according to claim 15 is carried out in the background image of each camera for the detection of stationary objects or for the detection of the floor in the entry area.
  • the calculation according to claim 15 is carried out in the snapshot of each camera for the detection of moving objects to distinguish shadows.
  • the frequency is counted, in particular by people entering and / or leaving the vehicle.
  • this method according to the invention it is also possible to carry out a frequency count.
  • At least one camera is arranged in the entry area of vehicles, in particular rail vehicles, which is connected, possibly via an analog-digital converter, to a data processing device having a memory.
  • the device according to the invention is further characterized in that the camera has optics corresponding to the detection of the entry area, the entry area, with the vehicle door open, being the exterior and interior located in the danger area and that a signal analyzer is provided in the data processing device.
  • a monochrome video camera optionally with integrated infrared lighting, a color video camera, a temperature-sensitive camera, a camera with integrated distance measurement or a distance-sensitive camera is provided as the camera.
  • the method described above can be carried out with all cameras shown here.
  • further camera-specific analyzes can be used as follows: With color video cameras, the additional color information can be analyzed in the same way as the brightness information. Since object colors usually stand out from the ground, this evaluation provides additional security. This applies just as much to motion analysis as it does to the analysis of still objects.
  • Temperature-sensitive cameras can be recognized by people if the ambient temperature deviates from human temperature. However, jammed objects such as handbags, straps, dog leads are not recognized. However, it can be used as a supplement to the video camera, especially when distinguishing resting objects from people by measuring the Object temperature do an excellent job. In the above analysis methods, it is also particularly easy to identify unclothed parts of the body, such as the face, fingers or the like.
  • the distance is based on a distance measurement using a single camera
  • Distance measurement based on the transit time measurement of a transmitted light beam and its reflection. Every object from which the light beam is sufficiently reflected is recognized and its distance from the camera is calculated. With these cameras, the distance information is available in addition to the brightness information. All of the analysis methods described above can also be applied to distance measurement. Since the arrangement of the camera on the floor is known, iteration analysis or structural analysis are particularly suitable for this.
  • distance-sensitive cameras can also be used.
  • At least one data processing device is provided for each vehicle.
  • a computer per vehicle can be used as a minimum, one computer per camera and per vehicle as a maximum.
  • At least one camera is assigned to each signal analyzer. This ensures redundant security.
  • the signal analyzer emits corresponding signals or commands to the traction lock or start-up release or a signal for connecting a camera to a driver's cab monitor.
  • the vehicle status preferably automatically, can be input to the signal analyzer. This configuration also supports full automation.
  • Fig. 1 shows a schematic diagram of the monitoring
  • Fig. 2 is a diagram of the monitoring device.
  • a vehicle 1 shows a vehicle 1, in this case a wagon of a train for passenger transportation.
  • This wagon has two doors 2 and associated areas for boarding and alighting for the passengers.
  • Cameras 3 are provided above the doors 2 for monitoring this area.
  • the entry area 4 to be recorded with the camera 3 is shown schematically - dotted -.
  • a monochrome video camera with integrated infrared lighting is installed in the left half of the wagon above door 2 in order to receive signals that can be evaluated even in poor lighting conditions.
  • Two cameras 3 are installed in the right half of the wagon, which also makes it possible to measure distances to a limited extent. In both variants - with door 2 open - both the outside and the interior are monitored in the danger area of doors 2.
  • the image captured by the camera 3 is spatially divided into zones with different security levels. With the camera 3, the entry area 4 at risk can be set very precisely, thereby defining the area to be monitored.
  • Color cameras, temperature-sensitive cameras, cameras with integrated distance measurement or a distance-sensitive camera can also be provided as cameras 3.
  • the camera 3 is connected, possibly via an analog-digital converter, to a data processing device (not shown) which has a memory.
  • a signal analyzer is also provided in the data processing device.
  • a data processing system can be provided for each vehicle 1 or such a system can also be provided for each camera 3.
  • a circuit diagram of the monitoring device is shown schematically.
  • the digitized signals of the monitored entry areas 4 captured by the cameras 3 are fed to a signal analyzer 5, which in the simplest case can be a portable industrial PC.
  • a signal analyzer 5 which in the simplest case can be a portable industrial PC.
  • the signal analyzer 5 such as computing power, storage space, at least one data processing device per vehicle, a maximum of one system per camera 3 and 1 vehicle can be used.
  • the aim of the present method of image analysis according to the invention aims at a reliable decision between the first two states. Nevertheless, from today's perspective, case 3 cannot be ruled out.
  • the cameras 3 are connected to the signal analyzer 5 via analog-digital converters 6. Furthermore, the vehicle status is entered into the signal analyzer 5 via the inputs 7, in particular fully automatically.
  • the vehicle status can be: Vehicle 1 is standing, door release, door 2 open, closing command or the like.
  • the signal analyzer 5 has at least three outputs.
  • An output 8 is connected to the traction lock and an output 9 to the start enable.
  • the third output 10 is used to switch through from the camera 3 to the driver's cab monitor 11.
  • the image analysis has to recognize in the monitored area:
  • the motion analysis is supplemented with the structure analysis.
  • the structural analysis can be carried out in two steps, namely the intraframe difference and the interframe division.
  • the contour analysis is used as the second step of shadow detection.
  • Another step to optimize the monitoring is to carry out a comparative analysis.
  • the object analysis is preferably used to record the condition of the soil.
  • a contour analysis with an iteration analysis or Fourier analysis and an image square analysis is carried out.
  • the image square analysis is followed by an iteration and possibly a shadow analysis.
  • a distance analysis could further optimize the result of the monitoring.
  • the method shown above can also be used for frequency counting. It is therefore entirely possible to use it to record the frequency of those entering and / or exiting.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)

Abstract

L'invention concerne un procédé et un dispositif de surveillance de la plate-forme d'accès (4) de véhicules (1), notamment de véhicules ferroviaires. Les signaux image numériques enregistrés par au moins une caméra (3) et transitant éventuellement par un convertisseur analogique-numérique (6) sont cédés à un dispositif de traitement de données présentant une mémoire. Les signaux images sont traités dans un analyseur de signaux (5) situé dans le dispositif de traitement de données (5). Pour effectuer une analyse de mouvement, les signaux images de différentes images qui sont décomposées en points images, sont additionnées pendant un temps prédéterminé et/ou un nombre déterminé d'images et la moyenne sont déterminés. On soustrait une image instantanée de l'image ainsi obtenue, image d'arrière-plan. On peut également effectuer une analyse d'ombre.
PCT/AT2004/000073 2003-03-05 2004-03-05 Procede et dispositif de surveillance de la plate-forme d'acces de vehicules WO2004078552A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP04717518A EP1599373A1 (fr) 2003-03-05 2004-03-05 Procede et dispositif de surveillance de la plate-forme d'acces de vehicules

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
ATA320/2003 2003-03-05
AT0032003A AT500925A1 (de) 2003-03-05 2003-03-05 Verfahren und einrichtung zur überwachung des einstiegsbereiches von fahrzeugen

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WO2004078552A1 true WO2004078552A1 (fr) 2004-09-16

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PCT/AT2004/000073 WO2004078552A1 (fr) 2003-03-05 2004-03-05 Procede et dispositif de surveillance de la plate-forme d'acces de vehicules

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EP (1) EP1599373A1 (fr)
AT (1) AT500925A1 (fr)
WO (1) WO2004078552A1 (fr)

Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2006072617A2 (fr) * 2005-01-10 2006-07-13 Siemens Aktiengesellschaft Systeme pour controler la zone entre un train et le bord d'une plateforme
DE102005011684A1 (de) * 2005-03-11 2006-09-14 Sick Ag System zur Absicherung von mit Türen verschließbaren Personeneinstiegsöffnungen an Fahrzeugen zur Personenbeförderung
DE102006030639A1 (de) * 2006-01-16 2007-07-19 Conti Temic Microelectronic Gmbh Kraftfahrzeug
WO2008071601A1 (fr) * 2006-12-13 2008-06-19 Renault S.A.S Dispositif et procede de detection de corps sur la course d'un ouvrant, vehicule muni du dispositif
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DE102009034283A1 (de) * 2009-07-21 2011-01-27 Ficosa International Gmbh Vorrichtung und Verfahren zur Überwachung eines Umgebungsbereiches eines Fahrzeuges
WO2011023602A1 (fr) * 2009-08-27 2011-03-03 Knorr-Bremse Gmbh Dispositif de surveillance et procédé de surveillance d'une zone d'entrée ou de sortie d'une ouverture d'accès d'un véhicule à une partie d'un édifice
CN102127998A (zh) * 2010-12-28 2011-07-20 北京交通大学 屏蔽门联动控制系统
KR101066562B1 (ko) 2011-02-15 2011-09-21 지에스네오텍(주) 스테레오 영상을 이용한 스크린 도어 시스템
EP2397386A1 (fr) * 2010-06-21 2011-12-21 Hitachi, Ltd. Appareil de surveillance d'état de véhicule ferroviaire
WO2012112105A1 (fr) 2011-02-14 2012-08-23 Scania Cv Ab Procédé et système de surveillance d'intrusions pour véhicule motorisé
CN104499864A (zh) * 2014-12-11 2015-04-08 南华大学 防撞防卡的公交车安全门系统
WO2016206917A1 (fr) * 2015-06-26 2016-12-29 Siemens Aktiengesellschaft Dispositif de porte de véhicule
DE102017221262B3 (de) 2017-11-28 2019-05-09 Dmw Schwarze Gmbh & Co. Industrietore Kg Verfahren zum Erfassen eines Gegenstandes zwischen einer Türzarge und einem Türblatt einer geöffneten Tür sowie Tür-Sicherungsvorrichtung
CN110525452A (zh) * 2019-09-27 2019-12-03 北京埃福瑞科技有限公司 一种用于地铁屏蔽门与列车之间的防夹检测系统及方法
CN111608529A (zh) * 2020-06-08 2020-09-01 王洋 一种地铁站台门的激光扫描防夹装置与系统
CN113830010A (zh) * 2020-06-23 2021-12-24 丰田自动车株式会社 车辆

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DE102018115274A1 (de) * 2018-06-26 2020-01-02 Knorr-Bremse Gesellschaft Mit Beschränkter Haftung Überwachungsvorrichtung und Verfahren zum Überwachen eines Türbereichs einer Fahrzeugtür für ein Fahrzeug und Türsystem mit einer Überwachungsvorrichtung

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EP0855324A2 (fr) * 1997-01-22 1998-07-29 Hitachi, Ltd. Système de commande automatique pour l'ouverture/la fermeture d'une porte d'un train.
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WO2006072617A2 (fr) * 2005-01-10 2006-07-13 Siemens Aktiengesellschaft Systeme pour controler la zone entre un train et le bord d'une plateforme
DE102005002357A1 (de) * 2005-01-10 2006-07-27 Siemens Ag System zur Überwachung des Bereichs zwischen Zug und Plattformkante
WO2006072617A3 (fr) * 2005-01-10 2007-11-08 Siemens Ag Systeme pour controler la zone entre un train et le bord d'une plateforme
DE102005011684A1 (de) * 2005-03-11 2006-09-14 Sick Ag System zur Absicherung von mit Türen verschließbaren Personeneinstiegsöffnungen an Fahrzeugen zur Personenbeförderung
DE102006030639A1 (de) * 2006-01-16 2007-07-19 Conti Temic Microelectronic Gmbh Kraftfahrzeug
DE102006030639B4 (de) * 2006-01-16 2018-02-01 Conti Temic Microelectronic Gmbh Kraftfahrzeug
WO2008071601A1 (fr) * 2006-12-13 2008-06-19 Renault S.A.S Dispositif et procede de detection de corps sur la course d'un ouvrant, vehicule muni du dispositif
FR2910045A1 (fr) * 2006-12-13 2008-06-20 Renault Sas Dispositif et procede de detection de corps sur la course d'un ouvrant, vehicule muni du dispositif.
WO2008081026A1 (fr) * 2007-01-05 2008-07-10 Continental Automotive Gmbh Système sans contact de protection contre le coincement
DE102009034283A1 (de) * 2009-07-21 2011-01-27 Ficosa International Gmbh Vorrichtung und Verfahren zur Überwachung eines Umgebungsbereiches eines Fahrzeuges
DE102009034283B4 (de) * 2009-07-21 2011-06-16 Ficosa International Gmbh Vorrichtung und Verfahren zur Überwachung eines Umgebungsbereiches eines Fahrzeuges
CN102648117A (zh) * 2009-08-27 2012-08-22 克诺尔-布里姆斯股份有限公司 用于监视从车辆入口到建筑部分的上车或下车区域的监视装置和方法
WO2011023602A1 (fr) * 2009-08-27 2011-03-03 Knorr-Bremse Gmbh Dispositif de surveillance et procédé de surveillance d'une zone d'entrée ou de sortie d'une ouverture d'accès d'un véhicule à une partie d'un édifice
EP2397386A1 (fr) * 2010-06-21 2011-12-21 Hitachi, Ltd. Appareil de surveillance d'état de véhicule ferroviaire
CN102127998A (zh) * 2010-12-28 2011-07-20 北京交通大学 屏蔽门联动控制系统
WO2012112105A1 (fr) 2011-02-14 2012-08-23 Scania Cv Ab Procédé et système de surveillance d'intrusions pour véhicule motorisé
EP2676252A4 (fr) * 2011-02-14 2016-04-06 Scania Cv Ab Procédé et système de surveillance d'intrusions pour véhicule motorisé
KR101066562B1 (ko) 2011-02-15 2011-09-21 지에스네오텍(주) 스테레오 영상을 이용한 스크린 도어 시스템
CN104499864A (zh) * 2014-12-11 2015-04-08 南华大学 防撞防卡的公交车安全门系统
CN104499864B (zh) * 2014-12-11 2016-08-24 南华大学 防撞防卡的公交车安全门系统
WO2016206917A1 (fr) * 2015-06-26 2016-12-29 Siemens Aktiengesellschaft Dispositif de porte de véhicule
DE102017221262B3 (de) 2017-11-28 2019-05-09 Dmw Schwarze Gmbh & Co. Industrietore Kg Verfahren zum Erfassen eines Gegenstandes zwischen einer Türzarge und einem Türblatt einer geöffneten Tür sowie Tür-Sicherungsvorrichtung
CN110525452A (zh) * 2019-09-27 2019-12-03 北京埃福瑞科技有限公司 一种用于地铁屏蔽门与列车之间的防夹检测系统及方法
CN110525452B (zh) * 2019-09-27 2020-08-28 北京埃福瑞科技有限公司 一种用于地铁屏蔽门与列车之间的防夹检测系统及方法
CN111608529A (zh) * 2020-06-08 2020-09-01 王洋 一种地铁站台门的激光扫描防夹装置与系统
CN111608529B (zh) * 2020-06-08 2022-08-02 广州南骏机械有限公司 一种地铁站台门的激光扫描防夹装置与系统
CN113830010A (zh) * 2020-06-23 2021-12-24 丰田自动车株式会社 车辆
EP3929057A1 (fr) * 2020-06-23 2021-12-29 Toyota Jidosha Kabushiki Kaisha Véhicule avec dispositifs de détection de passagers

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