CN111476142A - Video image detection method and device - Google Patents
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Abstract
The embodiment of the invention provides a video image detection method and a video image detection system, wherein the video image detection method comprises the following steps: collecting a video image of a target area; dividing the video image into at least one search block; searching suspicious blocks in the search block according to preset multi-dimensional characteristics; and extracting the characteristics of the suspicious block to obtain video image detection data. By combining the multi-dimensional features and the partitioned video images under the complex environment and searching the suspicious blocks according to the comprehensive features of flame space-time, the accuracy of flame foreground extraction under the complex background can be improved, and meanwhile, the interference caused by environmental factors is overcome.
Description
Technical Field
The present invention relates to the field of image technologies, and in particular, to a video image detection method and a video image detection apparatus.
Background
Fire monitoring and early warning device systems play a very important role in many fields, including large building fire prevention, forest fire prevention, natural environment monitoring. Conventional fire monitoring techniques and devices include particle-type smoke sensors, infrared and laser technologies, and the like. Particle type smoke sensor needs smog granule to get into the sensor and just can arouse the warning, and infrared ray and laser technology also need smog to shelter from and just can arouse the warning, in addition, to the building in large-scale space and outdoor environment, need the higher control coverage and the monitoring precision of a large amount of sensor equipment of overall arrangement just can reach, cause the cost to rise.
With the development and improvement of video monitoring systems and computer vision recognition technologies in recent years, fire detection systems based on video image analysis are tending to replace traditional devices, especially in fire prevention of large buildings and outdoor environment monitoring. In the prior art of video image based fire detection systems, many methods have been proposed and employed.
The existing video image detection method has the disadvantages of complex structure, high misjudgment rate, inaccurate flame foreground extraction under a complex background and low algorithm quality.
Disclosure of Invention
In view of the above problems, embodiments of the present invention are proposed to provide a video image detection method and a corresponding video image detection apparatus that overcome or at least partially solve the above problems.
In order to solve the above problem, an embodiment of the present invention discloses a video image detection method, including:
collecting a video image of a target area;
dividing the video image into at least one search block;
searching suspicious blocks in the search block according to preset multi-dimensional characteristics;
and extracting the characteristics of the suspicious block to obtain video image detection data.
Further, before the step of finding the suspicious block in the search block according to the preset multi-dimensional features, the method includes:
analyzing the flame colors in different spaces, and finding out the distribution rule of flame pixel values in the spaces;
and establishing a color model based on the distribution rule to obtain the multi-dimensional characteristics.
Further, after the step of performing feature extraction on the suspicious block to obtain video image detection data, the method includes:
and comparing the image detection data with a preset threshold value to obtain a fire safety detection result of the target area.
Further, after the step of comparing the image detection data with a preset threshold value to obtain a fire safety detection result of the target area, the method includes:
judging whether the target area has a fire or not according to the fire safety detection result of the target area;
if a fire disaster happens, the fire-fighting alarm system is linked, and an emergency plan is made.
The embodiment of the invention discloses a video image detection device, which comprises:
the image acquisition module is used for acquiring a video image of a target area;
the region dividing module is used for dividing the video image into at least one search block;
the suspicious detection module is used for searching for suspicious blocks in the search blocks according to preset multi-dimensional features;
and the characteristic extraction module is used for extracting the characteristics of the suspicious block to obtain video image detection data.
Further, still include:
the multi-dimensional analysis module is used for analyzing the flame colors in different spaces and finding out the distribution rule of flame pixel values in the spaces;
and the model establishing module is used for establishing a color model based on the distribution rule to obtain the multi-dimensional characteristics.
Further, still include:
and the data analysis module is used for comparing the image detection data with a preset threshold value to obtain a fire safety detection result of the target area.
Further, still include:
the fire detection module is used for judging whether the target area has a fire or not according to the fire safety detection result of the target area;
and the fire-fighting linkage module is used for linking the fire-fighting alarm system and making an emergency plan if a fire disaster occurs.
The embodiment of the invention discloses electronic equipment, which comprises a processor, a memory and a computer program which is stored on the memory and can run on the processor, wherein when the computer program is executed by the processor, the steps of the video image detection method are realized.
The embodiment of the invention discloses a computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and when the computer program is executed by a processor, the steps of the video image detection method are realized
The embodiment of the invention has the following advantages: by combining the multi-dimensional features and the partitioned video images under the complex environment and searching the suspicious blocks according to the comprehensive features of flame space-time, the accuracy of flame foreground extraction under the complex background can be improved, and meanwhile, the interference caused by environmental factors is overcome.
Drawings
FIG. 1 is a flow chart of the steps of an embodiment of a video image detection method of the present invention;
FIG. 2 is a flow chart illustrating steps of a video image detection method according to an embodiment of the present invention;
FIG. 3 is a block diagram of an embodiment of a video image detection apparatus according to the present invention;
fig. 4 is a block diagram of a video image detection apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
One of the core concepts of the embodiments of the present invention is to provide a video image detection method and a video image detection system, where the video image detection method includes: collecting a video image of a target area; dividing a video image into at least one search block; searching suspicious blocks in the search block according to the preset multi-dimensional characteristics; and extracting the characteristics of the suspicious blocks to obtain video image detection data. By combining the multi-dimensional features and the partitioned video images under the complex environment and searching the suspicious blocks according to the comprehensive features of flame space-time, the accuracy of flame foreground extraction under the complex background can be improved, and meanwhile, the interference caused by environmental factors is overcome.
Referring to fig. 1-2, a flow chart of steps of an embodiment of a video image detection method according to the present invention is shown, which may specifically include the following steps:
s100, collecting a video image of a target area;
s200, dividing a video image into at least one search block;
s300, searching suspicious blocks in the search block according to the preset multi-dimensional characteristics;
s400, extracting the characteristics of the suspicious block to obtain video image detection data.
As described with reference to step S100 above, a video image of the target area is acquired. And acquiring a video image of the target area through an image acquisition device.
As described with reference to the above step S200, the video image is divided into at least one search block. And a blocking idea is introduced, and a suspicious block is searched by using a search block according to the flame out-of-control comprehensive characteristics, so that the condition of reduced algorithm quality caused by inaccurate flame foreground extraction under a complex background is avoided.
Referring to the step S300, the suspicious block in the search block is found according to the preset multi-dimensional features, the flame feature extraction is studied, and multi-dimensional features based on the flame color significance, the spatial and inter-frame gradients, the flicker, the accumulated difference, the centroid motion direction, and the like of the search block in the complex environment are designed for the flame characterization and identification.
Referring to the step S400, the feature extraction is performed on the suspicious block to obtain video image detection data. The dynamic and static characteristics of the flame are analyzed, and the multi-dimensional flame characteristics are extracted based on the search block, so that the accuracy of flame detection is improved. In the classification detection process, the feature extraction is carried out on the suspicious blocks, so that the condition of algorithm quality reduction caused by inaccurate flame foreground extraction under a complex background is avoided.
Directly detecting fire information by an image sequence through an intelligent identification technology, extracting deep-level characteristic information of a fire image by using a digital image processing technology, and judging whether a fire occurs or not according to the characteristics; and after a fire disaster occurs, the linkage treatment such as alarming, fighting and the like is automatically carried out.
The fire-fighting remote monitoring platform can be connected with and controlled by an existing video monitoring system of a property unit besides acquiring fire alarm data and remote alarm data, and focuses on fire-fighting key parts, such as a fire-fighting control room, a safety passage, an important entrance, a fire-fighting hazard source, a fire-fighting water intake point and the like to perform video monitoring and detect a moving target.
Aiming at the problem that the current color model is generally a certain color interval and cannot accurately represent the flame color characteristics, the flame color is analyzed in different spaces, the distribution rule of flame pixel values in the spaces is searched, and a more accurate color model is established according to the distribution rule; aiming at the problems of more interferents, possible incomplete flame areas such as shielding and the like in a complex scene, a proper foreground extraction algorithm is researched, the static and dynamic characteristics of flame are fully utilized, and the interference caused by the environment is overcome; synthesizing the color and the motion characteristic of flame, introducing the thought of blocking, searching suspicious blocks by using a search block according to the flame out-of-control comprehensive characteristic, and extracting the characteristic of the suspicious blocks in the classification detection process to avoid the condition of algorithm quality reduction caused by inaccurate flame foreground extraction under a complex background; the dynamic and static characteristics of the flame are analyzed, and the multi-dimensional flame characteristics are extracted based on the search block, so that the accuracy of flame detection is improved. According to the method, the fire information is directly detected through an image sequence by an intelligent identification technology, the deep-level characteristic information of the fire image is extracted by using a digital image processing technology, and whether the fire happens or not is judged according to the characteristics, or the fire happens, and linkage processing such as alarming, putting out a fire and the like is automatically carried out.
In this embodiment, before the step S300 of finding a suspicious block in a search block according to a preset multi-dimensional feature, the method includes:
s500, analyzing the flame colors in different spaces, and searching for a distribution rule of flame pixel values in the spaces;
s600, establishing a color model based on the distribution rule to obtain the multi-dimensional characteristics.
And (4) studying flame feature extraction by referring to the steps, designing multi-dimensional features such as flame color significance, space and frame gradient, flicker, accumulated difference, mass center motion direction and the like based on a search block in a complex environment, and using the multi-dimensional features for flame characterization and identification.
In this embodiment, after the step S400 of extracting the feature of the suspicious block to obtain the video image detection data, the method includes:
and comparing the image detection data with a preset threshold value to obtain a fire safety detection result of the target area.
In this embodiment, after the step of comparing the image detection data with the preset threshold to obtain the fire safety detection result of the target area, the method includes:
judging whether the target area has a fire or not according to the fire safety detection result of the target area;
if a fire disaster happens, the fire-fighting alarm system is linked, and an emergency plan is made.
And (4) extracting multi-dimensional flame characteristics based on the search block and improving the accuracy of flame detection by referring to the steps. According to the method, the fire information is directly detected through an image sequence by an intelligent identification technology, the deep-level characteristic information of the fire image is extracted by using a digital image processing technology, and whether the fire happens or not is judged according to the characteristics, or the fire happens, and linkage processing such as alarming, putting out a fire and the like is automatically carried out.
It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the illustrated order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments of the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
Referring to fig. 3 to 4, there are shown block diagrams of the video image detection apparatus according to an embodiment of the present invention, which may specifically include the following modules:
an image acquisition module 100, configured to acquire a video image of a target area;
a region dividing module 200 for dividing the video image into at least one search block;
the suspicious detection module 300 is configured to find a suspicious block in the search block according to a preset multi-dimensional feature;
and the feature extraction module 400 is configured to perform feature extraction on the suspicious block to obtain video image detection data.
In this embodiment, the method further includes:
the multi-dimensional analysis module 500 is used for analyzing the flame colors in different spaces and finding out the distribution rule of the flame pixel values in the spaces;
the model building module 600 is configured to build a color model based on a distribution rule to obtain a multi-dimensional feature.
In this embodiment, the method further includes:
and the data analysis module is used for comparing the image detection data with a preset threshold value to obtain a fire safety detection result of the target area.
In this embodiment, the method further includes:
the data analysis module is used for judging whether the target area has a fire or not according to the fire safety detection result of the target area;
and the fire-fighting linkage module is used for linking the fire-fighting alarm system and making an emergency plan if a fire disaster occurs.
The application provides a video image detection device, based on the flame characteristic of search block extraction multidimension degree, improves the rate of accuracy that flame detected. According to the method, the fire information is directly detected through an image sequence by an intelligent identification technology, the deep-level characteristic information of the fire image is extracted by using a digital image processing technology, and whether the fire happens or not is judged according to the characteristics, or the fire happens, and linkage processing such as alarming, putting out a fire and the like is automatically carried out.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
The embodiment of the invention discloses electronic equipment, which comprises a processor, a memory and a computer program which is stored on the memory and can run on the processor, wherein when the computer program is executed by the processor, the steps of the video image detection method are realized.
The embodiment of the invention discloses a computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and the steps of the video image detection method are realized when the computer program is executed by a processor.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
The video image detection method and the video image detection apparatus provided by the present invention are described in detail above, and the principle and the implementation of the present invention are explained in detail herein by applying specific examples, and the description of the above examples is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A method for video image detection, comprising:
collecting a video image of a target area;
dividing the video image into at least one search block;
searching suspicious blocks in the search block according to preset multi-dimensional characteristics;
and extracting the characteristics of the suspicious block to obtain video image detection data.
2. The method of claim 1, wherein the step of finding the suspicious block within the search block according to the predetermined multi-dimensional features is preceded by the steps of:
analyzing the flame colors in different spaces, and finding out the distribution rule of flame pixel values in the spaces;
and establishing a color model based on the distribution rule to obtain the multi-dimensional characteristics.
3. The method of claim 1, wherein the step of extracting the feature of the suspicious block to obtain the video image detection data comprises:
and comparing the image detection data with a preset threshold value to obtain a fire safety detection result of the target area.
4. The method according to claim 3, wherein the step of comparing the image detection data with a preset threshold to obtain the fire safety detection result of the target area comprises:
judging whether the target area has a fire or not according to the fire safety detection result of the target area;
if a fire disaster happens, the fire-fighting alarm system is linked, and an emergency plan is made.
5. A video image detection apparatus, comprising:
the image acquisition module is used for acquiring a video image of a target area;
the region dividing module is used for dividing the video image into at least one search block;
the suspicious detection module is used for searching for suspicious blocks in the search blocks according to preset multi-dimensional features;
and the characteristic extraction module is used for extracting the characteristics of the suspicious block to obtain video image detection data.
6. The apparatus of claim 5, further comprising:
the multi-dimensional analysis module is used for analyzing the flame colors in different spaces and finding out the distribution rule of flame pixel values in the spaces;
and the model establishing module is used for establishing a color model based on the distribution rule to obtain the multi-dimensional characteristics.
7. The apparatus of claim 5, further comprising:
and the data analysis module is used for comparing the image detection data with a preset threshold value to obtain a fire safety detection result of the target area.
8. The apparatus of claim 7, further comprising:
the fire detection module is used for judging whether the target area has a fire or not according to the fire safety detection result of the target area;
and the fire-fighting linkage module is used for linking the fire-fighting alarm system and making an emergency plan if a fire disaster occurs.
9. Electronic device, characterized in that it comprises a processor, a memory and a computer program stored on said memory and capable of running on said processor, said computer program, when executed by said processor, implementing the steps of the video image detection method according to any one of claims 1 to 4.
10. Computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, carries out the steps of the video image detection method according to any one of claims 1 to 4.
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