CN102915612B - Based on the video analytic system of video image analysis flame detecting device - Google Patents
Based on the video analytic system of video image analysis flame detecting device Download PDFInfo
- Publication number
- CN102915612B CN102915612B CN201210460262.7A CN201210460262A CN102915612B CN 102915612 B CN102915612 B CN 102915612B CN 201210460262 A CN201210460262 A CN 201210460262A CN 102915612 B CN102915612 B CN 102915612B
- Authority
- CN
- China
- Prior art keywords
- module
- video image
- softcam
- video
- fire
- 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
Links
- 238000010191 image analysis Methods 0.000 title claims abstract description 15
- 238000001514 detection method Methods 0.000 claims abstract description 11
- 238000006243 chemical reaction Methods 0.000 claims description 6
- 238000000034 method Methods 0.000 claims description 6
- 230000001131 transforming effect Effects 0.000 claims 1
- 230000000694 effects Effects 0.000 abstract description 5
- 230000004308 accommodation Effects 0.000 abstract description 2
- 238000012544 monitoring process Methods 0.000 description 8
- 238000004458 analytical method Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 3
- 239000000779 smoke Substances 0.000 description 3
- 230000002265 prevention Effects 0.000 description 2
- 238000010009 beating Methods 0.000 description 1
- 230000003542 behavioural effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
Landscapes
- Fire-Detection Mechanisms (AREA)
- Closed-Circuit Television Systems (AREA)
Abstract
The invention discloses a kind of fire detection device based on video image analysis, comprise the acquisition system for gathering video image, video image analysis system, fire warning system, described video image analysis system comprises four modules: video image pretreatment module, moving target identification module, flame pixels identification module, fire judge module, described video image pretreatment module, comprise real camera system, comprise real camera, the first driver module and first? DirectShow assembly; Softcam system, comprises the Softcam, the second driver module and the 2nd DirectShow assembly that utilize DSF framework model to draw up; Video processing module, reads data from a DirectShow assembly, carries out special effect processing, send Softcam to data.The present invention has higher flame identification degree of accuracy, the advantage of wide accommodation.<!--1-->
Description
Technical field
The present invention relates to a kind of video analytic system based on video image analysis flame detecting device, especially by the analysis to pixel color feature in the video image of Real-time Collection, carry out flame detecting and alarm, belong to the technical field of intelligent fire hazard monitoring.
Background technology
Fire hazard monitoring and prior-warning device system in a lot of fields, comprise building fire prevention, forest fire protection, in physical environment monitoring, play very important effect.Traditional fire monitoring technology and device comprise corpuscular type smoke transducer, infrared ray and laser technology etc.Corpuscular type smoke transducer needs smoke particle to enter sensor just can cause warning, infrared ray and laser technology also need smog to block could cause warning, in addition, to buildings and the outdoor environment of large space, the sensor device needing layout a large amount of just can reach higher monitoring coverage percentage and monitoring accuracy, causes cost increase.
In recent years along with development and the raising of video monitoring system and Computer Vision Recognition technology, the fire detection system based on video image analysis is just having the trend replacing conventional apparatus, especially in building fire prevention and outdoor environment are monitored.In the prior art of the fire detection system based on video image, many methods are suggested and adopt.In these methods, the flame detection method based on video image analysis is divided into two main modular: the identification of moving target and segmentation, flame characteristic analysis.Flame characteristic analysis module is input to through the identification of moving target and the image pixel data of dividing processing, analyzed by the color to moving target, shape and the features such as form of beating, and carry out analysis contrast with the distinctive feature of flame, reach the object of flame identification and detection.But in these methods, some algorithms adopt traditional color space such as RGB and YUV to carry out the identification of flame color feature, and False Rate is higher; First some algorithms perform flame characteristic analysis, then carry out moving target identification, and cause computing velocity comparatively slow, operating cost is higher.And other algorithm carries out analysis and resolution for behavioral characteristics such as flame profiles, algorithm framework is complicated and False Rate is higher.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, a kind of video analytic system based on video image analysis flame detecting device is provided, this device is by the analysis of pixel color feature on another color space in the video image of Real-time Collection, improve the precision of fire detection and early warning, adopt the mode of fire defector and Moving target detection parallel processing simultaneously, improve the processing speed of fire detection.
Technical scheme provided by the invention, based on the video analytic system of video image analysis flame detecting device, comprises video image pretreatment module, video image pretreatment module, moving target identification module, flame pixels identification module, and fire judge module; Described video image pretreatment module, comprises real camera system, comprises real camera, the first driver module and a DirectShow assembly; Softcam system, comprises the Softcam, the second driver module and the 2nd DirectShow assembly that utilize DSF framework model to draw up; Video processing module, reads data from a DirectShow assembly, carries out special effect processing, send Softcam to data.
Advantage of the present invention: adopting the video image of collection from RGB color space conversion is CIExyY color space, by with the distribution characteristics contrast of the standard flame source color of demarcating on CIExy chromatic diagram, reach the identification of flame pixels.CIExy is a kind of equipment independently linear color space, more accurately can state color characteristic in itself.Standard flame source color has obvious distinguishing and uniqueness on CIExy chromatic diagram.So the present invention has higher fire defector degree of accuracy.In addition because the present invention adopts the mode of fire defector and Moving target detection parallel processing, it is fast that fire detection runs reaction velocity, wide accommodation.
Accompanying drawing explanation
Fig. 1 is structural representation of the present invention.
Fig. 2 is the structural representation of video image pretreatment module in the present invention.
Embodiment
Below in conjunction with concrete accompanying drawing, the invention will be further described with enforcement.
As shown in Figure 1, system and device schematic diagram of the present invention.The present invention includes the acquisition system 301 for gathering video image, video image analysis system 302, fire warning system 307, video image analysis system comprises four modules: video image pretreatment module 303, moving target identification module 304, flame pixels identification module 305, and fire judge module 306.
Video Image Collecting System Based 301 can be analog video camera, also can be IP video camera, guarantees successively to gather current monitoring scene image and is input to video image analysis system 302.Video image analysis system 302 is positioned at computer system, processes and analyzes, and make the judgement whether having fire to occur to the video image gathered.First, video image subsystem 302 passes through pretreatment module 303 pairs of image graph as pre-service such as color space conversion.Video image pretreatment module 303, comprises real camera system 1, comprises real camera 11, first driver module 12 and a DirectShow assembly 12; Softcam system 2, comprises Softcam 21, second driver module 22 and the 2nd DirectShow assembly 23 that utilize DSF framework model to draw up; Video processing module 3, reads data from a DirectShow assembly 12, carries out special effect processing to data, send Softcam 21 to.Vedio data after color space conversion is input to two parallel processing modules respectively: moving target identification module 304 and flame pixels identification module 305.This parallel processing is different from traditional serial processing, greatly can accelerate process and the reaction velocity of fire judgement.Moving target identification module 304 also comprises a frame background image buffer.Flame pixels identification module 305 also comprises the standard flame source color data figure demarcated in advance.Fire judge module 306 accepts the Output rusults of moving target identification module 304 and flame pixels identification module 305, makes the judgement whether having fire to occur, and fire alarm signal is input to fire early-warning system 307.Fire early-warning system 307 is conventional fire early-warning system, and the effect of fire early-warning system 307 and structure, known by the art personnel, no longer describe in detail herein.
Claims (1)
1., based on the video analytic system of video image analysis flame detecting device, comprise video image pretreatment module, moving target identification module, flame pixels identification module and fire judge module; It is characterized in that, described video image pretreatment module comprises real camera system, Softcam system and video processing module;
Described real camera system comprises real camera, the first driver module and a DirectShow assembly;
Described Softcam system comprises the Softcam, the second driver module and the 2nd DirectShow assembly that utilize DSF framework model to draw up;
Described video processing module reads data from a DirectShow assembly, carries out process send Softcam to data; The video image of collection is CIE from RGB color space conversion by video image pretreatment module
xYcolor space, the vedio data after space transforming is input to two parallel processing modules respectively: moving target identification module and flame pixels identification module, to fire defector and Moving target detection parallel processing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210460262.7A CN102915612B (en) | 2012-11-15 | 2012-11-15 | Based on the video analytic system of video image analysis flame detecting device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210460262.7A CN102915612B (en) | 2012-11-15 | 2012-11-15 | Based on the video analytic system of video image analysis flame detecting device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102915612A CN102915612A (en) | 2013-02-06 |
| CN102915612B true CN102915612B (en) | 2015-12-23 |
Family
ID=47613958
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201210460262.7A Expired - Fee Related CN102915612B (en) | 2012-11-15 | 2012-11-15 | Based on the video analytic system of video image analysis flame detecting device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102915612B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101046908A (en) * | 2007-05-08 | 2007-10-03 | 中国科学院上海技术物理研究所 | Forest fire behavior dynamic monitoring alarm system based on infrared camera |
| CN101339602A (en) * | 2008-07-15 | 2009-01-07 | 中国科学技术大学 | Video frequency fire hazard aerosol fog image recognition method based on light stream method |
| CN101493980A (en) * | 2009-03-05 | 2009-07-29 | 中国科学技术大学 | Rapid video flame detection method based on multi-characteristic fusion |
| CN102208018A (en) * | 2011-06-01 | 2011-10-05 | 西安工程大学 | Method for recognizing fire disaster of power transmission line based on video variance analysis |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB0709329D0 (en) * | 2007-05-15 | 2007-06-20 | Ipsotek Ltd | Data processing apparatus |
-
2012
- 2012-11-15 CN CN201210460262.7A patent/CN102915612B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101046908A (en) * | 2007-05-08 | 2007-10-03 | 中国科学院上海技术物理研究所 | Forest fire behavior dynamic monitoring alarm system based on infrared camera |
| CN101339602A (en) * | 2008-07-15 | 2009-01-07 | 中国科学技术大学 | Video frequency fire hazard aerosol fog image recognition method based on light stream method |
| CN101493980A (en) * | 2009-03-05 | 2009-07-29 | 中国科学技术大学 | Rapid video flame detection method based on multi-characteristic fusion |
| CN102208018A (en) * | 2011-06-01 | 2011-10-05 | 西安工程大学 | Method for recognizing fire disaster of power transmission line based on video variance analysis |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102915612A (en) | 2013-02-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP4705090B2 (en) | Smoke sensing device and method | |
| CN103366565B (en) | Method and system of detecting pedestrian running red light based on Kinect | |
| CN104994346A (en) | Intelligent construction safety management monitoring system and image alarm processing method thereof | |
| CN105574468B (en) | Video flame detection method, device and system | |
| CN105575034B (en) | A kind of two waveband forest fire protection intelligent monitoring software image processing analysis method | |
| CN112487891B (en) | Visual intelligent dynamic identification model construction method applied to electric power operation site | |
| CN102881106A (en) | Dual-detection forest fire identification system through thermal imaging video and identification method thereof | |
| CN103020588B (en) | Based on the flame detecting method of video image analysis | |
| CN103152558B (en) | Based on the intrusion detection method of scene Recognition | |
| CN111899452A (en) | Forest fire prevention early warning system based on edge calculation | |
| CN109040711A (en) | A kind of image-pickup method, monitoring method and imaging sensor | |
| CN102348099B (en) | Embedded video smoke detector and smoke identification method | |
| CN101315326B (en) | Smog detecting method and apparatus | |
| CN108648406A (en) | A kind of indoor smog detection alarm system based on machine vision | |
| CN101930540A (en) | Video-based multi-feature fusion flame detecting device and method | |
| CN107798805A (en) | A kind of safety monitoring system based on information technology | |
| CN103020587B (en) | Based on video image analysis flame regarding figure analysis method | |
| CN102915612B (en) | Based on the video analytic system of video image analysis flame detecting device | |
| CN113420695A (en) | Rapid flame detection method based on MSRCR and YOLOv4-Tiny algorithm | |
| CN117475269A (en) | Abnormal signal identification method and system based on video monitoring system equipment | |
| CN103258183A (en) | Video image preprocessing module based on video image analysis flame | |
| CN110807444A (en) | Pedestrian abnormal behavior detection system and method based on DSP edge calculation | |
| CN103824410A (en) | Detection system for analyzing flame on the basis of video image | |
| CN102968877A (en) | Flame detection device based on video image analysis | |
| CN106971494A (en) | Fire detection and alignment system and method based on embedded platform |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20151223 |