CN105830437A - Method and system for identifying background in monitoring system - Google Patents
Method and system for identifying background in monitoring system Download PDFInfo
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- CN105830437A CN105830437A CN201580001326.9A CN201580001326A CN105830437A CN 105830437 A CN105830437 A CN 105830437A CN 201580001326 A CN201580001326 A CN 201580001326A CN 105830437 A CN105830437 A CN 105830437A
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- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000012544 monitoring process Methods 0.000 title claims abstract description 24
- 238000005070 sampling Methods 0.000 claims description 35
- 238000011221 initial treatment Methods 0.000 claims description 20
- 230000004075 alteration Effects 0.000 claims description 11
- 230000008901 benefit Effects 0.000 abstract description 4
- 238000012217 deletion Methods 0.000 abstract 1
- 230000037430 deletion Effects 0.000 abstract 1
- 230000009471 action Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Classifications
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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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- 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
- H04N7/183—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source
-
- 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
- G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
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- Multimedia (AREA)
- Signal Processing (AREA)
- Computational Linguistics (AREA)
- Software Systems (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Image Analysis (AREA)
- Closed-Circuit Television Systems (AREA)
Abstract
The invention discloses a method and a system for identifying background in a monitoring system. The method includes the following steps: acquiring a plurality of frame pictures in order, comparing the plurality of frame pictures with original background pictures which are stored in advance and removing the original background pictures so as to obtain initial processed pictures of the plurality of frame pictures; comparing the initial processed pictures of the plurality of frame pictures to acquire picture data of a same area, overlapping picture data of the same area of the plurality of frame pictures, and calculating an overlapped area; calculating the proportion between the overlapped area and the picture with minimum area of the same area of the plurality of initial processed pictures, and if the proportion is greater than a set threshold value, determining that the picture is the non-background picture, and if the proportion is smaller than the set threshold value, then determining that the picture is the background picture, and executing deletion. According to the invention, the technical solution has the advantages of high precision of background identification.
Description
Technical field
The present invention relates to image and monitoring field, particularly relate to the method and system of Background Recognition in a kind of monitoring system.
Background technology
Video monitoring is the important component part of safety and protection system, English CamerasandSurveillance.Traditional monitoring system includes front-end camera, transmission cable, video monitoring platform.Video camera can be divided into network digital camera and analog video camera, can be as the collection of head end video picture signal.It is the integrated system that a kind of prevention ability is stronger.Video monitoring is directly perceived with it, accurate, abundant with information content in time and is widely used in many occasions.In recent years, along with computer, network and image procossing, the developing rapidly of transmission technology, Video Supervision Technique there has also been significant progress.Up-to-date monitoring system can use smart mobile phone to take on, and automatically identifies image simultaneously, stores and automatic alarm.Video data passes control main frame (can also be that smart mobile phone is taken on) back by 3G/4G/WIFI, and image can be watched by main frame in real time, typing, play back, recall and the operation such as storage.Thus realize the video monitoring of mobile interchange.
Existing video monitoring is all with auto-alarm function, existing auto-alarm function majority is to be identified mobiles, then corresponding situation is reported to the police, the identification of mobiles is based on Background Recognition technology, existing Background Recognition technology determines stationary body typically by the mode of multiframe picture comparison, thus background is identified and rejects, but find in actual applications, the technical scheme of prior art is because of the identification of only stationary body, Background Recognition elimination cannot be carried out completely, so it has the inaccurate shortcoming of Background Recognition.
Summary of the invention
The application provides the method and system of Background Recognition in a kind of monitoring system.The reliability of Background Recognition can be improved.
On the one hand, it is provided that the method for Background Recognition in monitoring system, described method comprises the steps:
Obtain multiframe picture in order, multiframe picture is removed original background picture with the original background picture comparison prestored and obtains the initial treatment picture of multiframe；
The initial treatment picture of multiframe is compared and obtains the image data of same area, after the image data superposition of the same area of multiframe, calculate the area after superposition；
Calculate the area after superposition and the ratio of minimum area in the picture of same area in multiframe initial treatment picture, if this ratio is more than setting threshold value, it is determined that for non-background, set threshold value as this ratio is less than, it is determined that for background, delete.
Optionally, the described multiframe picture of acquisition in order is concrete, including:
Sampling all pictures, comparing the picture after sampling determines the similarity of sampling picture, and similarity is defined as the multiframe picture obtained at the picture of all of frame set between the sampling picture in the range of interval.
Optionally, described being compared by the initial treatment picture of multiframe obtains the image data of same area；
Using the region in set point of the aberration in picture as the image data of same area.
On the other hand, it is provided that the system of Background Recognition in a kind of monitoring system, described system includes:
Acquiring unit, for obtaining multiframe picture in order；
Pretreatment unit, obtains the initial treatment picture of multiframe for multiframe picture is removed original background picture with the original background picture comparison prestored；
Computing unit, for the image data obtaining same area of being compared by the initial treatment picture of multiframe, after the image data superposition of the same area of multiframe, calculates the area after superposition；
Background determines unit, and the area after calculating superposition and the ratio of minimum area in the picture of same area in multiframe initial treatment picture, if this ratio is more than setting threshold value, it is determined that for non-background, set threshold value as this ratio is less than, it is determined that for background, delete.
Optionally, described acquiring unit, specifically for
Sampling all pictures, comparing the picture after sampling determines the similarity of sampling picture, and similarity is defined as the multiframe picture obtained at the picture of all of frame set between the sampling picture in the range of interval.
Optionally, described computing unit, specifically for using the region in set point of the aberration in picture as the image data of same area.
Accompanying drawing explanation
In order to be illustrated more clearly that the technical scheme of the embodiment of the present invention, in describing embodiment below, the required accompanying drawing used is briefly described, apparently, accompanying drawing in describing below is some embodiments of the present invention, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
The flow chart of the method for Background Recognition in a kind of monitoring system that Fig. 1 provides for the present invention the first better embodiment；
The structure chart of the system of Background Recognition in a kind of monitoring system that Fig. 2 provides for the present invention the second better embodiment.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is a part of embodiment of the present invention rather than whole embodiments.Based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art are obtained under not making creative work premise, broadly fall into the scope of protection of the invention.
Refer to the method for Background Recognition in a kind of monitoring system that Fig. 1, Fig. 1 are embodiment of the present invention propositions, the method is performed by monitoring system, this monitoring system includes but not limited to, the equipment such as building monitoring system, computer, intelligent terminal, the method is as it is shown in figure 1, comprise the steps:
Step S101, in order acquisition multiframe picture, remove original background picture by multiframe picture with the original background picture comparison prestored and obtain the initial treatment picture of multiframe；
Above-mentioned steps S101 obtains multiframe picture in order and needs a mode obtained, because for image data, may be the most accurate as obtained picture at a fixed time interval, sampling processing is carried out here by picture, then the picture after sampling is compared and determine the similarity of sampling picture, picture to all of frame between similarity sampling picture in the range of setting interval is defined as the multiframe picture of acquisition, first this mode can reduce amount of calculation, because it is obtained by sampling picture, because only the picture to sampling is processed to determine the scope obtaining multiframe picture, additionally, owing to being sampling, the most also it is less susceptible to miss corresponding picture, so it has recognition accuracy height, the advantage that amount of calculation is little.
Above-mentioned comparison and remove the method that the mode of original background picture can use prior art.
Step S102, the image data of acquisition same area of being compared by the initial treatment picture of multiframe, after the image data superposition of the same area of multiframe, calculate the area after superposition；
nullThe method of the image data that above-mentioned comparison obtains same area can have multiple，Such as，In an embodiment of the present invention the first better embodiment，The image data of same area can be obtained to use the aberration to the image data of same area in the way of comparing，For a concrete instance，For same area，Owing to the time interval of multiframe picture is the shortest，Assume now there is individual's process，The so aberration of the skin of mankind difference under the same conditions is little，Thus i.e. same area can be labeled by the identification of such aberration，Certainly in actual applications can be in the way of using other，Such as by i.e. can obtain multiple regions of above-mentioned multiframe picture with original background picture comparison，Then the area of the same area of multiple frames is compared，Essentially identical area and the region that relative position relation is the most identical in picture are set as same area.
Area after step S103, calculating superposition and the ratio of minimum area in the picture of same area in multiframe initial treatment picture, if this ratio is more than setting threshold value, it is determined that be less than setting threshold value for non-background, such as this ratio, it is determined that for background, delete.
The method that in above-mentioned steps S103, the method for picture superposition can use prior art, the present invention the first better embodiment does not limit the specific implementation of above-mentioned superposition.
After static background is removed by the technical scheme that the present invention the first better embodiment provides, also dynamic background is identified, and by the way of the superposition of many pictures, dynamic background is removed, so it has the advantage that recognition effect is good, additionally, the present invention the first better embodiment determines that by the way of sampling the scope of the multiframe picture of acquisition can effectively reduce amount of calculation, improves the precision of Background Recognition.
On the other hand, the present invention the second better embodiment provides the system of Background Recognition in a kind of monitoring system, and described system includes:
Acquiring unit 201, for obtaining multiframe picture in order；
Acquiring unit obtains multiframe picture in order and needs a mode obtained, because for image data, may be the most accurate as obtained picture at a fixed time interval, sampling processing is carried out here by picture, then the picture after sampling is compared and determine the similarity of sampling picture, picture to all of frame between similarity sampling picture in the range of setting interval is defined as the multiframe picture of acquisition, first this mode can reduce amount of calculation, because it is obtained by sampling picture, because only the picture to sampling is processed to determine the scope obtaining multiframe picture, additionally, owing to being sampling, the most also it is less susceptible to miss corresponding picture, so it has recognition accuracy height, the advantage that amount of calculation is little.
Pretreatment unit 202, obtains the initial treatment picture of multiframe for multiframe picture is removed original background picture with the original background picture comparison prestored；
Computing unit 203, for the image data obtaining same area of being compared by the initial treatment picture of multiframe, after the image data superposition of the same area of multiframe, calculates the area after superposition；
nullThe method of the image data that above-mentioned comparison obtains same area can have multiple，Such as，In an embodiment of the present invention the first better embodiment，The image data of same area can be obtained to use the aberration to the image data of same area in the way of comparing，For a concrete instance，For same area，Owing to the time interval of multiframe picture is the shortest，Assume now there is individual's process，The so aberration of the skin of mankind difference under the same conditions is little，Thus i.e. same area can be labeled by the identification of such aberration，Certainly in actual applications can be in the way of using other，Such as by i.e. can obtain multiple regions of above-mentioned multiframe picture with original background picture comparison，Then the area of the same area of multiple frames is compared，Essentially identical area and the region that relative position relation is the most identical in picture are set as same area.
Background determines unit 204, and the area after calculating superposition and the ratio of minimum area in the picture of same area in multiframe initial treatment picture, if this ratio is more than setting threshold value, then it is defined as non-background, if this ratio is less than setting threshold value, it is determined that for background, delete.
Above-mentioned background determines that the method that in unit 204, the method for picture superposition can use prior art, the present invention the first better embodiment do not limit the specific implementation of above-mentioned superposition.
Optionally, described acquiring unit, specifically for
Sampling all pictures, comparing the picture after sampling determines the similarity of sampling picture, and similarity is defined as the multiframe picture obtained at the picture of all of frame set between the sampling picture in the range of interval.
Optionally, described computing unit, specifically for using the region in set point of the aberration in picture as the image data of same area.
It should be noted that, for each embodiment of the method aforesaid, in order to be briefly described, therefore it is all expressed as a series of combination of actions, but those skilled in the art should know, the present invention is not limited by described sequence of movement, because according to the present invention, certain some step can use other orders or carry out simultaneously.Secondly, those skilled in the art also should know, embodiment described in this description belongs to preferred embodiment, necessary to involved action and the module not necessarily present invention.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and the part being not described in certain embodiment may refer to the associated description of other embodiments.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment can be by program and completes to instruct relevant hardware, this program can be stored in a computer-readable recording medium, storage medium may include that flash disk, read only memory are (English: Read-OnlyMemory, be called for short: ROM), random access device (English: RandomAccessMemory, RAM), disk or CD etc. be called for short:.
The content download method provided the embodiment of the present invention above and relevant device, system are described in detail, principle and the embodiment of the present invention are set forth by specific case used herein, and the explanation of above example is only intended to help to understand method and the core concept thereof of the present invention；Simultaneously for one of ordinary skill in the art, according to the thought of the present invention, the most all will change, in sum, this specification content should not be construed as limitation of the present invention.
Claims (6)
1. the method for Background Recognition in a monitoring system, it is characterised in that described method comprises the steps:
Obtain multiframe picture in order, multiframe picture is removed original background picture with the original background picture comparison prestored and obtains the initial treatment picture of multiframe；
The initial treatment picture of multiframe is compared and obtains the image data of same area, after the image data superposition of the same area of multiframe, calculate the area after superposition；
Calculate the area after superposition and the ratio of minimum area in the picture of same area in multiframe initial treatment picture, if this ratio is more than setting threshold value, it is determined that for non-background, set threshold value as this ratio is less than, it is determined that for background, delete.
Method the most according to claim 1, it is characterised in that the described multiframe picture of acquisition in order is concrete, including:
Sampling all pictures, comparing the picture after sampling determines the similarity of sampling picture, and similarity is defined as the multiframe picture obtained at the picture of all of frame set between the sampling picture in the range of interval.
Method the most according to claim 1, it is characterised in that described being compared by the initial treatment picture of multiframe obtains the image data of same area；
Using the region in set point of the aberration in picture as the image data of same area.
4. the system of Background Recognition in a monitoring system, it is characterised in that described system includes:
Acquiring unit, for obtaining multiframe picture in order；
Pretreatment unit, obtains the initial treatment picture of multiframe for multiframe picture is removed original background picture with the original background picture comparison prestored；
Computing unit, for the image data obtaining same area of being compared by the initial treatment picture of multiframe, after the image data superposition of the same area of multiframe, calculates the area after superposition；
Background determines unit, and the area after calculating superposition and the ratio of minimum area in the picture of same area in multiframe initial treatment picture, if this ratio is more than setting threshold value, it is determined that for non-background, set threshold value as this ratio is less than, it is determined that for background, delete.
System the most according to claim 4, it is characterised in that described acquiring unit, specifically for
Sampling all pictures, comparing the picture after sampling determines the similarity of sampling picture, and similarity is defined as the multiframe picture obtained at the picture of all of frame set between the sampling picture in the range of interval.
System the most according to claim 4, it is characterised in that described computing unit, specifically for using the region in set point of the aberration in picture as the image data of same area.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2015/097975 WO2017101124A1 (en) | 2015-12-19 | 2015-12-19 | Method and system for background recognition in surveillance system |
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| CN105830437A true CN105830437A (en) | 2016-08-03 |
| CN105830437B CN105830437B (en) | 2019-08-09 |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114022849A (en) * | 2022-01-05 | 2022-02-08 | 鑫安利中（北京）科技有限公司 | Enterprise security management method and system based on big data |
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| CN118264891A (en) * | 2020-09-15 | 2024-06-28 | 上海传英信息技术有限公司 | Image processing method, terminal and computer storage medium |
| CN114785988A (en) * | 2022-04-11 | 2022-07-22 | 广东思域信息科技有限公司 | High-definition video monitoring system and monitoring method based on cloud computing service |
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| CN103618846A (en) * | 2013-11-22 | 2014-03-05 | 上海安奎拉信息技术有限公司 | Background removing method for restricting influence of sudden changes of light in video analysis |
| WO2015129501A1 (en) * | 2014-02-25 | 2015-09-03 | 株式会社メガチップス | Moving body detection device, moving body detection method, and control program |
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2015
- 2015-12-19 WO PCT/CN2015/097975 patent/WO2017101124A1/en active Application Filing
- 2015-12-19 CN CN201580001326.9A patent/CN105830437B/en active Active
Patent Citations (2)
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| CN103618846A (en) * | 2013-11-22 | 2014-03-05 | 上海安奎拉信息技术有限公司 | Background removing method for restricting influence of sudden changes of light in video analysis |
| WO2015129501A1 (en) * | 2014-02-25 | 2015-09-03 | 株式会社メガチップス | Moving body detection device, moving body detection method, and control program |
Non-Patent Citations (1)
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| 黄磊等: "基于背景差分的运动目标检测研究", 《软件导刊》 * |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114022849A (en) * | 2022-01-05 | 2022-02-08 | 鑫安利中（北京）科技有限公司 | Enterprise security management method and system based on big data |
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| CN105830437B (en) | 2019-08-09 |
| WO2017101124A1 (en) | 2017-06-22 |
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Effective date of registration: 20190202 Address after: 518000 Shenzhen, Nanshan District, Guangdong, Guangdong Province, Hai street, M-3, 4 floor, 403 rooms. Applicant after: The new intelligent information technology (Shenzhen) Co., Ltd. Address before: Unit B, Building A, Kirin Garden, 18 Yuquan Road, Nanshan District, Shenzhen City, Guangdong 518000 Applicant before: Zhang Beijiang |
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