EP1762995A1 - Détection de fumée avec une caméra vidéo - Google Patents

Détection de fumée avec une caméra vidéo Download PDF

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Publication number
EP1762995A1
EP1762995A1 EP05108310A EP05108310A EP1762995A1 EP 1762995 A1 EP1762995 A1 EP 1762995A1 EP 05108310 A EP05108310 A EP 05108310A EP 05108310 A EP05108310 A EP 05108310A EP 1762995 A1 EP1762995 A1 EP 1762995A1
Authority
EP
European Patent Office
Prior art keywords
smoke
video image
moving
area
roi
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.)
Granted
Application number
EP05108310A
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German (de)
English (en)
Other versions
EP1762995B1 (fr
Inventor
Giuseppe Marbach
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.)
Siemens AG
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Siemens Schweiz AG
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Publication date
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First worldwide family litigation filed litigation Critical https://patents.darts-ip.com/?family=35613866&utm_source=google_patent&utm_medium=platform_link&utm_campaign=public_patent_search&patent=EP1762995(A1) "Global patent litigation dataset” by Darts-ip is licensed under a Creative Commons Attribution 4.0 International License.
Application filed by Siemens Schweiz AG filed Critical Siemens Schweiz AG
Priority to AT05108310T priority Critical patent/ATE394763T1/de
Priority to ES05108310T priority patent/ES2306020T3/es
Priority to EP05108310A priority patent/EP1762995B1/fr
Priority to DE502005004026T priority patent/DE502005004026D1/de
Publication of EP1762995A1 publication Critical patent/EP1762995A1/fr
Application granted granted Critical
Publication of EP1762995B1 publication Critical patent/EP1762995B1/fr
Revoked legal-status Critical Current
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Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B17/00—Fire alarms; Alarms responsive to explosion
    • G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
    • G08B17/103—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means using a light emitting and receiving device

Definitions

  • the invention relates to a method and apparatus for detecting smoke by analyzing at least one video image taken by a video camera monitoring an area.
  • One of the problems with this method is that smoke is not detected against a light background and even fire that produces little smoke is not detected.
  • brightness changes such as those caused by persons moving through the field of view of the camera, can trigger a false alarm.
  • This problem has been solved by the fact that in addition to the actual surveillance area still one outer area and, in case of changes in this outer area, interrupt the observation of the surveillance area.
  • This method has the disadvantage that a fire may not be detected until after a certain delay and that sources of smoke are not detected in the outer area provided in addition to the monitoring area.
  • the object of the present invention is to propose an efficient way of detecting smoke by means of at least one video image taken by a field-monitoring video camera.
  • a gist of the invention is that smoke is detected by analyzing at least one video image captured by a video camera monitoring an area.
  • An area can be a room, a tunnel (section), a parking lot, a street or a street section etc.
  • a first step by determining the direction and the size in a moving region of the at least one video image, a probable presence of smoke in the moving region is checked. If a moving area has a positive test result, there is a certain probability of the presence of smoke. Thereafter, at least a part of the moving area is evaluated depending on at least one smoke characteristic information regarding the presence of smoke.
  • the smoke-characteristic information is the speed of the smoke, the number of pixels in the video image that describe this movement, the luminance change (brightness change) of the at least one video image with respect to the background, the change in the color of the moving smoke and the movement of the smoke are considered.
  • An advantage of the method according to the invention or the device according to the invention can be seen in the fact that smoke can be detected efficiently. In particular, this is achieved by the two-part evaluation and by the appropriate selection of information characteristic of smoke.
  • FIG. 1 shows a block diagram according to the invention for the detection of smoke.
  • At least one video image which was generated with a certain frequency, at least one intensity image [X ij (t)] is obtained.
  • the video image can have, for example, a size of 352x288 pixels.
  • the next step is preprocessing.
  • the preprocessing has the goal that the areas of interest for the detection of smoke are filtered out of the video image.
  • a background accumulation matrix [B ij (t)] is created first.
  • the background accumulation matrix [B ij (t)] is obtained from the weighting factor weighted intensity images [X ij (t)], where the weighting factor ⁇ indicates how strongly the intensity images flow into the accumulation matrix [B ij (t)].
  • ⁇ weighting factor
  • a subtraction matrix D ij ( t ) / B ij ( t ) - X ij ( t ) / is calculated for at least one moving area.
  • the color weighting of the subtraction matrix D ij ( t ) finally yields the color-weighted subtraction matrix [S ij (t)].
  • the likely presence of smoke at location (i, j) is finally determined, for example, by the projection of the color-weighted subtraction matrix [S ij (t)] on the x / y axis of a Cartesian coordinate system.
  • the choice of the coordinate system is arbitrary. For example, spherical coordinates, cylindrical coordinates, etc. could also be used.
  • a probable presence of smoke in a moving area of the video image can then be checked.
  • a reduced video image area of interest ROI of Interest
  • multiple ROI areas can also be defined in one video image or in multiple channels.
  • the processor load for the actual analysis or evaluation is considerably reduced. Whether smoke is present in a moving area of the recorded video image is clarified on the basis of at least one information characteristic of smoke. In the present example, the following information is used to increase the detection security.
  • the speed of the smoke (movement of the smoke), the number of pixels (active pixels) describing this movement, the luminance change (brightness change) of the at least one video image with respect to the background, the change of the color ( Color change) of the moving smoke and the movement of the smoke (y-position in the histogram) viewed.
  • a discriminator value ⁇ is determined.
  • a threshold ⁇ (or even a probability function) may define the discriminator in the following manner:
  • FIG. 2 shows a simplified representation of a video image VB.
  • the image contains a moving area that is supposed to be smoke. Furthermore, the video image VB shows an ROI range, which was determined according to the description of FIG.
  • Figure 3 shows a decision diagram for the detection of smoke, as described under Figure 1. If I (t) exceeds a certain threshold ⁇ , alarm is triggered and smoke was detected with high probability. So that I (t) does not rise to infinity and thus unnecessarily reduces the reaction time for smoke detection, a maximum value I T is defined.
  • the critical time is the time until the alarm is triggered. This time should be as short as possible.
  • FIG. 4 shows a device VR according to the invention with a receiving unit E and a transmitting unit S for communicating, for example, with other units, such as sensors, central units, etc., and a processing unit V for carrying out the method according to FIG. 1.
  • the apparatus can be used in a video camera, a Central unit etc. be integrated or represent a separate unit.
EP05108310A 2005-09-09 2005-09-09 Détection de fumée avec une caméra vidéo Revoked EP1762995B1 (fr)

Priority Applications (4)

Application Number Priority Date Filing Date Title
AT05108310T ATE394763T1 (de) 2005-09-09 2005-09-09 Detektion von rauch mit einer videokamera
ES05108310T ES2306020T3 (es) 2005-09-09 2005-09-09 Deteccion de humo con una camara de video.
EP05108310A EP1762995B1 (fr) 2005-09-09 2005-09-09 Détection de fumée avec une caméra vidéo
DE502005004026T DE502005004026D1 (de) 2005-09-09 2005-09-09 Detektion von Rauch mit einer Videokamera

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
EP05108310A EP1762995B1 (fr) 2005-09-09 2005-09-09 Détection de fumée avec une caméra vidéo

Publications (2)

Publication Number Publication Date
EP1762995A1 true EP1762995A1 (fr) 2007-03-14
EP1762995B1 EP1762995B1 (fr) 2008-05-07

Family

ID=35613866

Family Applications (1)

Application Number Title Priority Date Filing Date
EP05108310A Revoked EP1762995B1 (fr) 2005-09-09 2005-09-09 Détection de fumée avec une caméra vidéo

Country Status (4)

Country Link
EP (1) EP1762995B1 (fr)
AT (1) ATE394763T1 (fr)
DE (1) DE502005004026D1 (fr)
ES (1) ES2306020T3 (fr)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI385602B (zh) * 2008-10-17 2013-02-11 Ind Tech Res Inst 煙霧偵測方法與系統
EP2688274A1 (fr) 2012-07-18 2014-01-22 Siemens Aktiengesellschaft Périphérique de communication mobile avec un application d'alarme incendie utilisable dessus et une application d'alarme incendie téléchargeable d'un portail de vente sur Internet
CN106781210A (zh) * 2016-12-23 2017-05-31 安徽工程大学机电学院 基于空间封闭性的火灾中烟的识别方法
DE102016101149A1 (de) * 2016-01-22 2017-07-27 Connaught Electronics Ltd. Verfahren zum Erkennen von Rauch in einem Umgebungsbereich eines Kraftfahrzeugs mit Hilfe einer Kamera des Kraftfahrzeugs, Fahrerassistenzsystem sowie Kraftfahrzeug

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101458865B (zh) * 2008-05-09 2012-06-27 丁国锋 一种火灾探测系统及方法

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5153722A (en) * 1991-01-14 1992-10-06 Donmar Ltd. Fire detection system
WO2002054364A2 (fr) * 2000-12-28 2002-07-11 Siemens Building Technologies Ag Systeme de detection de fumee base sur la video

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5153722A (en) * 1991-01-14 1992-10-06 Donmar Ltd. Fire detection system
WO2002054364A2 (fr) * 2000-12-28 2002-07-11 Siemens Building Technologies Ag Systeme de detection de fumee base sur la video

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI385602B (zh) * 2008-10-17 2013-02-11 Ind Tech Res Inst 煙霧偵測方法與系統
EP2688274A1 (fr) 2012-07-18 2014-01-22 Siemens Aktiengesellschaft Périphérique de communication mobile avec un application d'alarme incendie utilisable dessus et une application d'alarme incendie téléchargeable d'un portail de vente sur Internet
DE102016101149A1 (de) * 2016-01-22 2017-07-27 Connaught Electronics Ltd. Verfahren zum Erkennen von Rauch in einem Umgebungsbereich eines Kraftfahrzeugs mit Hilfe einer Kamera des Kraftfahrzeugs, Fahrerassistenzsystem sowie Kraftfahrzeug
CN106781210A (zh) * 2016-12-23 2017-05-31 安徽工程大学机电学院 基于空间封闭性的火灾中烟的识别方法
CN106781210B (zh) * 2016-12-23 2019-05-10 安徽信息工程学院 基于空间封闭性的火灾中烟的识别方法

Also Published As

Publication number Publication date
EP1762995B1 (fr) 2008-05-07
ES2306020T3 (es) 2008-11-01
DE502005004026D1 (de) 2008-06-19
ATE394763T1 (de) 2008-05-15

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