CN106650594A - Video fire detection method, device and system - Google Patents
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- 238000010276 construction Methods 0.000 abstract 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/30—Noise filtering
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
- G08B17/125—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/44—Event detection
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Abstract
The present invention provides a video fire detection method, a device and a system, and relates to the video fire detection-related technical field. In embodiments of the present invention, a video image is extracted out of a data source end, and then the video image is converted to an HSV image. According to a preset HSV threshold range, a mask of the HSV image is constructed and the mask is subjected to contour detection. When the contour of the mask is detected, it is determined that the fire occurs. Meanwhile, the video image is transmitted to a server and the server forwards the video image to a client. The client displays the video image. According to the technical scheme of the video fire detection method, the device and the system, the fire detection and the video monitoring are unified, so that the network construction is simplified. The cost is reduced and the space is saved.
Description
Technical field
The present invention relates to video fire hazard detects relevant technical field, in particular to a kind of video fire hazard detection side
Method, apparatus and system.
Background technology
Fire be it is a kind of with very havoc and multiple disaster, especially with people in productive life with fire
Electricity consumption is on the increase, to the management with fiery electricity consumption accidentally, or because the equipment fault many reasons such as even set fire cause fire
The lives and properties of the mankind are constituted huge threat by calamity.Therefore, the condition of a fire is found in time and takes the measure of being effectively protected,
The harm that fire brings is minimized, it is ensured that the security of the lives and property of people, is all the time the research topic of people.
Existing monitoring system only contains video monitoring function, and existing fire detection is passed with Smoke Sensor, temperature
Sensor etc. gathers corresponding data as the foundation for judging whether fire, in the indoor and outdoors widespread adoption of larger space
When multiple Smoke Sensors and temperature sensor need to be installed, therefore spend it is relatively costly；Therefore, it is in existing technical scheme
Can in monitor in real time room or outdoor situations, and can effective detection fire generation, should build in the same space and to answer
Miscellaneous video surveillance network, while independent fire detection system network is also built, and video surveillance network and fire inspection
Substantial amounts of space not only can occupy in is independently built for examining system network, and increased cost.
Therefore, how to solve to take up space big in video surveillance network and fire detection system network and spend relatively costly
Problem be the big problem of for facing at present.
The content of the invention
In view of this, the purpose of the embodiment of the present invention is to provide a kind of video fire hazard detection method, to solve existing regarding
Frequency monitoring network independently builds big, the relatively costly problem of taking up space for presence with fire detection system network.
Separately, the purpose of the embodiment of the present invention also resides in a kind of video fire hazard detection means of offer.
Separately, the purpose of the embodiment of the present invention also resides in a kind of video fire hazard detecting system of offer.
To achieve these goals, the technical scheme that the embodiment of the present invention is adopted is as follows：
In a first aspect, a kind of video fire hazard detecting system is embodiments provided, the video fire hazard detecting system
Including data source, server and client side, wherein, the data source is used to extract video image, by the video image
HSV images are converted into, the mask of the HSV images is built according to HSV threshold ranges set in advance, the mask is opened
Computing and closed operation, eliminate picture noise, and the mask to eliminating noise carries out contour detecting, when detecting that the mask has profile
When, the region of the corresponding video image of the profile is identified, the data source is additionally operable to send out the video image
Give the server；The server is used to for the video image to be transmitted to the client；The client is used to show
Show the video image.
Further, the data source is additionally operable to when detecting that the mask has profile, sends alarm signal.
Second aspect, the embodiment of the present invention additionally provides a kind of video fire hazard detection method, the video fire hazard detection side
Method includes：Extract video image；The video image is converted into HSV images；Built according to HSV threshold ranges set in advance
The mask of the HSV images；Contour detecting is carried out to the mask, when profile is detected, then judges the condition of a fire；By video
Image is sent to server, and the video image is forwarded into client in order to the server, with aobvious by the client
Show the video image.
Further, it is described the step of carry out contour detecting to the mask before also include step：The mask is entered
Row opening operation and closed operation, eliminate picture noise.
Further, the video fire hazard detection method also includes：When detecting that the mask has profile, warning is sent
Signal.
Further, the video fire hazard detection method also includes：When detecting that the mask has profile, to the wheel
The region of wide corresponding video image is identified.
The third aspect, the present invention implements to additionally provide a kind of video fire hazard detection means, is applied to data source, described to regard
Frequency fire detection device includes：
Video acquisition module, for extracting video image；
Image conversion module, for the video image to be converted into HSV images；
Mask builds module, for building the mask of the HSV images according to HSV threshold ranges set in advance；
Profile detection module, for carrying out contour detecting to the mask, when profile is detected, then judges fire
Feelings.
Sending module, for video image to be sent to a server, turns the video image in order to the server
A client is sent to, to show the video image by the client.
Further, the video fire hazard detection means also includes：
Denoising module, for carrying out opening operation and closed operation to the mask, eliminates picture noise.
Further, the video fire hazard detection means also includes：
Alarm module, for when detecting that the mask has profile, sending alarm signal.
Further, the video fire hazard detection means also includes：
Mark module, for when detecting that the mask has profile, the region to the corresponding video image of the profile
It is identified.
Compared with prior art, the present invention is provided video fire hazard detection method, apparatus and system, are carried by data source
Video image is taken, video image is converted into HSV images, covering for HSV images is built according to HSV threshold ranges set in advance
Mould, to the mask contour detecting is carried out, and when profile is tested with, then judges the condition of a fire, and the video image is sent to
The video image is transmitted to client by server, server, and client shows the video image.The video fire hazard inspection of the present invention
Survey method, apparatus and system unify fire detection and video monitoring, simplify the networking, reduce cost, have saved sky
Between.
To enable the above objects, features and advantages of the present invention to become apparent, preferred embodiment cited below particularly, and coordinate
Appended accompanying drawing, is described in detail below.
Description of the drawings
In order to be illustrated more clearly that the technical scheme of the embodiment of the present invention, below will be attached to what is used needed for embodiment
Figure is briefly described, it will be appreciated that the following drawings illustrate only certain embodiments of the present invention, thus be not construed as it is right
The restriction of scope, for those of ordinary skill in the art, on the premise of not paying creative work, can be with according to this
A little accompanying drawings obtain other related accompanying drawings.
The schematic diagram of the video fire hazard detecting system that Fig. 1 is provided for present pre-ferred embodiments.
The block diagram of the data source that Fig. 2 is provided for present pre-ferred embodiments.
The high-level schematic functional block diagram of the video fire hazard detection means that Fig. 3 is provided for present pre-ferred embodiments.
The schematic flow sheet of the video fire hazard detection method that Fig. 4 present pre-ferred embodiments are provided.
Icon：10- video fire hazard detecting systems；100- data sources；200- servers；300- clients；400- networks；
110- video fire hazard detection means；1101- video acquisition modules；1102- image conversion modules；1103- masks build module；
1104- denoising modules；1105- profile detection modules；1106- alarm modules；1107- mark modules；1108- sending modules；
111- memories；112- storage controls；113- processors；114- Peripheral Interfaces；115- audio units.
Specific embodiment
Below in conjunction with accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Ground description, it is clear that described embodiment is only a part of embodiment of the invention, rather than the embodiment of whole.Generally exist
Herein the component of the embodiment of the present invention described and illustrated in accompanying drawing can be arranged and designed with a variety of configurations.Cause
This, below the detailed description of the embodiments of the invention to providing in the accompanying drawings is not intended to limit claimed invention
Scope, but it is merely representative of the selected embodiment of the present invention.Based on embodiments of the invention, those skilled in the art are not doing
The every other embodiment obtained on the premise of going out creative work, belongs to the scope of protection of the invention.
As shown in figure 1, being the schematic diagram of the video fire hazard detecting system 10 that present pre-ferred embodiments are provided.The video fire
Calamity detecting system 10 includes data source 100, server 200 and client 300, and the server 200 can pass through 400 points of network
It is not communicatively coupled with data source 100, client 300, to realize between server 200 and data source 100, server
Data communication between 200 and client 300 is interacted.The data source 100 can be several cameras.In the present embodiment
In, the data source 100 is by transplanting embedded Linux system and computer vision storehouse (the Open Source that increase income
Computer Vision Library, OpenCV), and webcam driver etc. is installed completes building for development environment, video
Collection and fire detection are processed to be realized by increasing income computer vision storehouse.The server 200 can be the webserver, number
According to storehouse server, cloud server etc., its operating system can be linux system, the connecing as video image of server 200
Transfer is received, for the video image that data source 100 is sent to be transmitted into client 300.The client 300 can be personal electricity
Brain (personal computer, PC), panel computer etc. are for playing the client of video, video capture, the client 300
Operating system can be linux system, Windows systems etc..
In the present embodiment, when the video fire hazard detecting system 10 works, data source 100 and client 300 are tied up first
Determine server 200 IP address and port to realize network connection, the communication set up between data source 100 and client 300.
Video image is sent to server 200 by the data source 100 by Python network interfaces, and the server 200 is in Linux systems
The network interface program that the lower operation Python of system writes, after the connection request of network 400 is listened to, immediately by data source
100 video images sent are transmitted to client 300, and client 300 receives and show the video image.
As shown in Fig. 2 being the block diagram of the data source 100 that present pre-ferred embodiments are provided.The data source
100 include video fire hazard detection means 110, memory 111, storage control 112, processor 113, Peripheral Interface 114, audio frequency
Unit 115.
The each element phase of the memory 111, storage control 112, processor 113, Peripheral Interface 114, audio unit 115
Directly or indirectly it is electrically connected between mutually, to realize the transmission or interaction of data.For example, these elements can pass through each other
One or more communication bus or holding wire are realized being electrically connected with.The video fire hazard detection means 110 can including at least one
The behaviour of the data source 100 is stored in the memory 111 or is solidificated in the form of software or firmware (firmware)
Make the software function module in system (operating system, OS).The processor 113 is used to perform in memory 111
The executable module of storage, such as software function module or computer program that described video fire hazard detection means 110 includes.
Wherein, memory 111 may be, but not limited to, random access memory (Random Access Memory,
RAM), read-only storage Read Only Memory, ROM), programmable read only memory (Programmable Read-Only
Memory, PROM), erasable read-only memory (Erasable Programmable Read-Only Memory, EPROM),
Electricallyerasable ROM (EEROM) (Electric Erasable Programmable Read-Only Memory, EEPROM) etc..
Wherein, memory 111 is used for storage program, and the processor 113 performs described program after execute instruction is received.
A kind of possibly IC chip of processor 113, the disposal ability with signal.Above-mentioned processor 113 can
Being general processor, including central processing unit (Central Processing Unit, abbreviation CPU), network processing unit
(Network Processor, abbreviation NP) etc.；Can also be digital signal processor (DSP), special IC (ASIC),
Ready-made programmable gate array (FPGA) either other PLDs, discrete gate or transistor logic, discrete hard
Part component.Can realize or perform disclosed each method in the embodiment of the present invention, step and logic diagram.General processor
Can be microprocessor or the processor 113 can also be any conventional processor etc..
The Peripheral Interface 114 is by various input/output devices (such as audio unit 115) coupled to the processor
113 and the memory 111.In certain embodiments, Peripheral Interface 114, processor 113 and storage control 112 can
To realize in one single chip.In some other example, they can be realized respectively by independent chip.
The audio unit 115 provides a user with COBBAIF, its may include one or more microphones, one or many
Individual loudspeaker and voicefrequency circuit.
As shown in figure 3, being the functional module signal of the video fire hazard detection means 110 that present pre-ferred embodiments are provided
Figure.The video fire hazard detection means 110 is applied to data source 100, and the video fire hazard detection means 110 includes video acquisition mould
Block 1101, image conversion module 1102, mask build module 1103, denoising module 1104, profile detection module 1105, warning mould
Block 1106, mark module 1107, sending module 1108.
The video acquisition module 1101 is used to extract the video image of camera collection.
Described image modular converter 1102 is used to for the video image to be converted into HSV (Hue, Saturation, Value) figure
Picture.The general image obtained from video for rgb format image, and RGB image in image segmentation and feature extraction not
It is suitable for, HSV is the color space created according to the intuitive nature of color, H represents tone, and S represents saturation degree, and V represents color
Monochrome information, is transformed into RGB image HSV images and is conducive to image segmentation and feature extraction.
The mask builds module 1103 to be used to build covering for the HSV images according to HSV threshold ranges set in advance
Mould.In the present embodiment, binary conversion treatment is carried out to the HSV images, makes whole image there was only black and white two states, presented
Obvious black and white effect.
In the preferred embodiment, HSV threshold ranges are preset HSV threshold values is set to flame color
Scope, it includes HSV upper thresholds and HSV bottom thresholds, and in the present embodiment, the threshold range of HSV is by OpenCV's
Obtained by experiment in hsv color space, Jing experiment tests, the HSV value of flame is [5,150,150] when showing that fire occurs,
Therefore in the present embodiment, the HSV upper thresholds can be set as [130,255,255], the HSV bottom thresholds be [120,
100,100], it should be noted that the bound of HSV threshold ranges sets according to actual needs, such as fiery HSV thresholds can also be set
The value upper limit is [125,255,255], and lower limit is [110,100,100], and the present embodiment is not limited this.When mask is built,
If HSV value is within HSV threshold ranges set in advance, this parts of images is white；If HSV value is more than set in advance
HSV upper thresholds or less than HSV bottom thresholds set in advance, then this parts of images is in black.
The denoising module 1104 is used to carry out constructed mask opening operation and closed operation, eliminates picture noise.
In the present embodiment, due to when mask is built, it may appear that some random noises such as isolated point etc., impact will be produced on fire defector
So that bringing error, the present embodiment can preferably eliminate the impact that these random noises are brought by denoising module 1104, carry
The extraction effect of high flame region.
The profile detection module 1105, for carrying out contour detecting to the mask, when profile is detected, then judges to send out
Light a fire feelings.
In the preferred embodiment, if the mask through denoising presents obvious black and white effect, the profile inspection
Survey module 1105 just to draw out the outline of white portion, the white portion is flame region.
The alarm module 1106 is used for when detecting the mask and having profile, sends alarm signal.In the present embodiment,
When detecting mask and having profile, the alarm module 1106 then calls alert program to drive the audio unit 115, the audio frequency list
Unit 115 sends alarm signal, and the condition of a fire occurs to remind user.Meanwhile, when detecting the mask and having profile, the mark module
1107 are identified in the region of the corresponding video image of the profile.In the preferred embodiment, by drawing encirclement
Identifying the region, in other words, the rectangle frame area encompassed is exactly flame region to the rectangle frame of the profile, by right
Flame region is identified, and is easy to user to check flame region.
Sending module 1108 is used to video image is sent to server 200, in order to the server 200 by the video
Image is forwarded to client 300, to show the video image by the client 300.When the profile detection module
1105 when being not detected by profile, and the video image that the sending module 1108 sends is the regarding of extracting of video acquisition module 1101
Frequency image；When the profile detection module 1105 detects profile, the video image that the sending module 1108 sends is Jing
The video image for identifying flame region obtained after the process of mark module 1107.
As shown in figure 4, being the schematic flow sheet of the video fire hazard detection method that present pre-ferred embodiments are provided.Need
Bright, video fire hazard detection method of the present invention is not with the particular order of Fig. 3 and described below to limit.Should
Understand, in other embodiments, the order of video fire hazard detection method which part step of the present invention can be according to reality
Border needs to be exchanged with each other, or part steps therein can also be omitted or deleted.The idiographic flow shown in Fig. 3 will be entered below
Row is elaborated.
Step S101, extracts video image.The video image is collected by camera.Wherein, step S101 can
To be realized by the video acquisition module 1101.
Step S102, by the video image HSV (Hue, Saturation, Value) image is converted into.Typically from video
The image of acquisition is the image of rgb format, and RGB image is not applied in image segmentation and feature extraction, and HSV is according to face
The color space that the intuitive nature of color is created, H represents tone, and S represents saturation degree, and V represents the monochrome information of color, RGB is schemed
Be conducive to image segmentation and feature extraction as being transformed into HSV images.Wherein, step S102 can pass through described image modulus of conversion
Block 1102 is realized.
Step S103, according to HSV threshold ranges set in advance the mask of the HSV images is built.In the present embodiment,
Binary conversion treatment is carried out to the HSV images, makes whole image there was only black and white two states, present obvious black and white effect.
It is exactly the scope for arranging HSV threshold values to flame color to preset HSV threshold ranges, and it includes HSV upper thresholds and HSV threshold values
Lower limit, in the present embodiment, by the hsv color space of OpenCV, by testing acquisition, Jing is tested the threshold range of HSV
Test, the HSV value of flame is [5,150,150] when showing that fire occurs, therefore in the present embodiment, can set the HSV thresholds
The value upper limit is [130,255,255], and the HSV bottom thresholds are [120,100,100], it should be noted that HSV threshold ranges
Bound sets according to actual needs, such as can also set fiery HSV upper thresholds as [125,255,255], lower limit for [110,
100,100], the present embodiment is not limited this.Build mask when, if HSV value HSV threshold ranges set in advance it
Interior, then this parts of images is white；If HSV value is more than HSV upper thresholds set in advance or less than HSV thresholds set in advance
Value lower limit, then this parts of images is in black.Wherein, step S103 can build module 1103 and realize by the mask.
Step S104, opening operation and closed operation are carried out to constructed mask, eliminate picture noise.In the present embodiment,
Due to when mask is built, it may appear that some random noises such as isolated point etc., impact will be produced on fire defector so that bringing mistake
Difference, the present embodiment can preferably eliminate the impact that these random noises are brought by opening operation and closed operation, improve flame zone
The extraction effect in domain.Wherein, step S104 can be realized by the denoising module 1104.
Step S105, to the mask contour detecting is carried out, and when profile is detected, then judges the condition of a fire.In the present invention
Preferred embodiment in, if the mask through denoising presents obvious black and white effect, just by the mask white portion it is outer
Profile is drawn out, and the white portion is flame region.Wherein, step S105 can be by the profile detection module
1105 realize.
Step S106, when detecting that the mask has profile, sends alarm signal.In the present embodiment, mask is detected
When having profile, then alert program is called to drive the audio unit 115, the audio unit 115 to send alarm signal, to remind
There is the condition of a fire in user.Wherein, step S106 can be realized by the alarm module 1106.
Step S107, when detecting that the mask has profile, is identified to the region of the corresponding video image of the profile.
In the preferred embodiment, the region is identified by drawing the rectangle frame for surrounding the profile, in other words, the square
Shape frame area encompassed is exactly flame region, by being identified to flame region, is easy to user to check flame region.Its
In, step S107 can be realized by the mark module 1107.
Step S108, video image is sent to server 200, turns the video image in order to the server 200
Client 300 is sent to, to show the video image by the client 300.When step S105 is not detected by wheel
When wide, the video image sent in step S108 is the video image that step S101 is extracted；When the step
When S105 detects profile, what the video image that step S108 sends was obtained after processing for step S107 described in identifies
The video image of flame region.Wherein, step S108 can be realized by the sending module 1108.
In sum, the present invention is provided video fire hazard detection method, apparatus and system, by data source video is extracted
Image, by video image HSV images are converted into, and the mask of HSV images are built according to HSV threshold ranges set in advance, to this
Mask carries out contour detecting, when profile is tested with, then judges the condition of a fire, and the video image is sent into server,
The video image is transmitted to client by server, and client shows the video image.In addition, when profile has been detected, also
Alarm signal is sent, the condition of a fire occurs to remind user, while identify flame region with rectangle frame on the video images sending out again
See off；When profile is not detected by, just the video image that data source is collected is sent.
In embodiment provided herein, it should be understood that disclosed apparatus and method, it is also possible to by other
Mode realize.Device embodiment described above is only schematic, and for example, the flow chart and block diagram in accompanying drawing shows
Device, the architectural framework in the cards of method and computer program product, the function of multiple embodiments of the invention
And operation.At this point, each square frame in flow chart or block diagram can represent of module, program segment or a code
Point, a part for the module, program segment or code is used to realize the executable of the logic function of regulation comprising one or more
Instruction.It should also be noted that at some as in the implementation replaced, the function of being marked in square frame can also be with different from attached
The order marked in figure occurs.For example, two continuous square frames can essentially be performed substantially in parallel, and they also may be used sometimes
To perform in the opposite order, this is depending on involved function.It is also noted that each in block diagram and/or flow chart
The combination of square frame and block diagram and/or the square frame in flow chart, can with perform the function of regulation or the special of action based on
The system of hardware is realizing, or can be realized with the combination of computer instruction with specialized hardware.
In addition, each functional module in embodiments of the present invention can integrate to form an independent part,
Can be modules individualism, it is also possible to which two or more modules are integrated to form an independent part.
If the function is realized and as independent production marketing or when using using in the form of software function module, can be with
In being stored in a computer read/write memory medium.Based on such understanding, technical scheme is substantially in other words
The part contributed to prior art or the part of the technical scheme can be embodied in the form of software product, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be individual
People's computer, server, or network equipment etc.) perform all or part of step of each embodiment methods described of the invention.
And aforesaid storage medium includes：USB flash disk, portable hard drive, read-only storage (ROM, Read-Only Memory), arbitrary access are deposited
Reservoir (RAM, Random Access Memory), magnetic disc or CD etc. are various can be with the medium of store program codes.Need
Illustrate, herein, term " including ", "comprising" or its any other variant are intended to including for nonexcludability,
So that a series of process, method, article or equipment including key elements not only includes those key elements, but also including not having
Other key elements being expressly recited, or also include the key element intrinsic for this process, method, article or equipment.Do not having
In the case of having more restrictions, the key element limited by sentence "including a ...", it is not excluded that in the mistake including the key element
Also there is other identical element in journey, method, article or equipment.
The preferred embodiments of the present invention are the foregoing is only, the present invention is not limited to, for the skill of this area
For art personnel, the present invention can have various modifications and variations.It is all within the spirit and principles in the present invention, made any repair
Change, equivalent, improvement etc., should be included within the scope of the present invention.It should be noted that：Similar label and letter exists
Similar terms is represented in figure below, therefore, once being defined in a certain Xiang Yi accompanying drawing, then it is not required in subsequent accompanying drawing
It is further defined and is explained.
The above, the only specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, any
Those familiar with the art the invention discloses technical scope in, change or replacement can be readily occurred in, all should contain
Cover within protection scope of the present invention.Therefore, protection scope of the present invention described should be defined by scope of the claims.
Claims (10)
1. a kind of video fire hazard detecting system, it is characterised in that the video fire hazard detecting system includes data source, server
And client, wherein,
The data source is used to extract video image, the video image is converted into HSV images, according to set in advance
HSV threshold ranges build the mask of the HSV images, and opening operation and closed operation are carried out to the mask, eliminate picture noise, right
Eliminating the mask of noise carries out contour detecting, when detecting that the mask has profile, to the corresponding video image of the profile
Region be identified, the data source is additionally operable to for the video image to be sent to the server；
The server is used to for the video image to be transmitted to the client；
The client is used to show the video image.
2. video fire hazard detecting system according to claim 1, it is characterised in that the data source is additionally operable to when detection
When going out the mask and having profile, alarm signal is sent.
3. a kind of video fire hazard detection method, it is characterised in that the video fire hazard detection method includes：
Extract video image；
The video image is converted into HSV images；
The mask of the HSV images is built according to HSV threshold ranges set in advance；
Contour detecting is carried out to the mask, when profile is detected, then judges the condition of a fire；
Video image is sent to server, the video image is forwarded into client in order to the server, with by institute
State client and show the video image.
4. video fire hazard detection method according to claim 3, it is characterised in that described that profile inspection is carried out to the mask
Also include step before the step of survey：
Opening operation and closed operation are carried out to the mask, picture noise is eliminated.
5. video fire hazard detection method according to claim 3, it is characterised in that the video fire hazard detection method is also wrapped
Include：
When detecting that the mask has profile, alarm signal is sent.
6. video fire hazard detection method according to claim 3, it is characterised in that the video fire hazard detection method is also wrapped
Include：
When detecting that the mask has profile, the region of the corresponding video image of the profile is identified.
7. a kind of video fire hazard detection means, is applied to data source, it is characterised in that the video fire hazard detection means bag
Include：
Video acquisition module, for extracting video image；
Image conversion module, for the video image to be converted into HSV images；
Mask builds module, for building the mask of the HSV images according to HSV threshold ranges set in advance；
Profile detection module, for carrying out contour detecting to the mask, when profile is detected, then judges the condition of a fire；
Sending module, for video image to be sent to server, visitor is forwarded in order to the server by the video image
Family end, to show the video image by the client.
8. video fire hazard detection means according to claim 7, it is characterised in that the video fire hazard detection means is also wrapped
Include：
Denoising module, for carrying out opening operation and closed operation to the mask, eliminates picture noise.
9. video fire hazard detection means according to claim 7, it is characterised in that the video fire hazard detection means is also wrapped
Include：
Alarm module, for when detecting that the mask has profile, sending alarm signal.
10. video fire hazard detection means according to claim 7, it is characterised in that the video fire hazard detection means is also
Including：
Mark module, for when detecting that the mask has profile, carrying out to the region of the corresponding video image of the profile
Mark.
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| CN201610880196.7A CN106650594A (en) | 2016-10-09 | 2016-10-09 | Video fire detection method, device and system |
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Application publication date: 20170510 |