CN105227918A - A kind of intelligent control method and device - Google Patents
A kind of intelligent control method and device Download PDFInfo
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- CN105227918A CN105227918A CN201510638228.8A CN201510638228A CN105227918A CN 105227918 A CN105227918 A CN 105227918A CN 201510638228 A CN201510638228 A CN 201510638228A CN 105227918 A CN105227918 A CN 105227918A
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Abstract
The invention provides a kind of intelligent control method and device, said method comprises the following steps: obtain destination object characteristic information, moving person characteristic information; According to the relationship characteristic information of moving person and destination object, determine corresponding tracing and monitoring characteristic information; Achieve and whole event is carried out comprehensive, real-time analysis, diagnosed fast, reach real supervisory function bit.
Description
Technical field
The invention belongs to field of video monitoring, particularly relate to a kind of intelligent control method and device.
Background technology
Legacy and lost thing detection is carried out at public area, significant to the property safety and personal safety protecting the people.
In current intelligent video monitoring system, can to building, warehouse, Around Buildings, street, various garden and other place etc., carry out the detection and tracking left over or lose of article in automatic monitoring scene, hazard event is had to the function of active monitoring, strick precaution and early warning.
In current legacy or the detection system of lost thing, main Problems existing is: leave over for article and lose this two states and carried out Real-Time Monitoring and warning, only pay close attention to the result that this kind of event occurs, and do not relate to the whole process that this kind of event occurred at that time.
Summary of the invention
The invention provides a kind of intelligent control method and system, to solve the problem.
The invention provides a kind of intelligent control method, said method comprises the following steps:
Obtain destination object characteristic information, moving person characteristic information;
According to the relationship characteristic information of moving person and destination object, determine corresponding tracing and monitoring characteristic information.
The present invention also provides a kind of intelligent monitoring and controlling device, and said apparatus comprises audio-video collection module, audio/video coding module, characteristics analysis module, analysis result processing module, tracing and monitoring module, alarm module;
Wherein, described audio-video collection module is connected with described characteristics analysis module by described audio/video coding module; Described audio/video coding module is connected with described analysis result processing module by described characteristics analysis module; Described characteristics analysis module is connected with described tracing and monitoring module by described analysis result processing module; Described analysis result processing module is connected with described alarm module by described tracing and monitoring module.
Described audio-video collection module, for gathering destination object characteristic information, moving person characteristic information described destination object characteristic information, described moving person characteristic information are sent to described audio/video coding module;
Described audio/video coding module, for encoding to described destination object characteristic information, described moving person characteristic information and the destination object characteristic information after coding, moving person characteristic information be sent to described characteristics analysis module;
Described characteristics analysis module, for analyzing the destination object characteristic information after coding, moving person characteristic information, and analysis result be sent to described analysis result processing module;
Described analysis result processing module, after receiving described analysis result, obtains the relationship characteristic information of moving person and destination object and the relationship characteristic information of described analysis result, described moving person and destination object is sent to described tracing and monitoring module;
Described tracing and monitoring module, for the relationship characteristic information according to moving person and destination object, determines corresponding tracing and monitoring characteristic information and described tracing and monitoring characteristic information is sent to described alarm module;
Described alarm module, for the tracing and monitoring characteristic information sent according to described tracing control module, carries out alert process.
By following scheme: obtain destination object characteristic information, moving person characteristic information; According to the relationship characteristic information of moving person and destination object, determine corresponding tracing and monitoring characteristic information; Achieve and whole event is carried out comprehensive, real-time analysis, diagnosed fast, reach real supervisory function bit.
By following scheme: if the time that destination object remains static is more than after the first preset time value, passive movement main body is carried, then obtain after moving person carries the tracing and monitoring characteristic information after described destination object, also comprise: the tracing and monitoring characteristic information after the moving person of acquisition is carried described destination object transfers to warning device; Achieve accuracy and the predictability of warning, convenient analysis afterwards.
Accompanying drawing explanation
Accompanying drawing described herein is used to provide a further understanding of the present invention, and form a application's part, schematic description and description of the present invention, for explaining the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings:
Figure 1 shows that intelligent control method process chart of the present invention;
Figure 2 shows that intelligent monitoring and controlling device structure chart of the present invention.
Embodiment
Hereinafter also describe the present invention in detail with reference to accompanying drawing in conjunction with the embodiments.It should be noted that, when not conflicting, the embodiment in the application and the feature in embodiment can combine mutually.
Figure 1 shows that intelligent control method process chart of the present invention, comprise the following steps:
Step 101: obtain destination object characteristic information;
Further, the process obtaining destination object characteristic information is: according to the movement state information of destination object, determine destination object characteristic information.
Further, described destination object comprises legacy, lost thing; Described destination object characteristic information comprises: legacy characteristic information, lost thing characteristic information.
Further, described legacy characteristic information comprises: the temporal information that legacy image information, legacy remain static; Described lost thing characteristic information comprises: the temporal information that lost thing image information, lost thing remain static.
Legacy refers to that passive movement main body is carried from moving to static, is then separated with moving person, staticly in scene exceedes Preset Time and does not have the object of affiliated main body; Lost thing is then the inverse state of legacy.
Step 102: the picture signal and the voice signal that obtain moving person, determines moving person characteristic information;
In specific implementation process, after gathering the picture signal of moving person and voice signal, pass through signal processing system, preliminary treatment is carried out to the picture signal of the moving person collected and voice signal, such as: use the method such as medium filtering or gaussian filtering to remove some specific noises, the lightness colors etc. of the method such as histogram equalization or regulation to image is used to process.
In addition, by sound detection system, the sound got is detected, utilize the grader trained to judge whether to belong to the sound of people, and judged the power of sound by the size of decibel value.
In addition, pass through movement detection systems, utilize the algorithm of some foreground extraction, detect moving target, such as, use the gauss hybrid models based on color and gradient, study image of video data sequence carries out background modeling, extracted the target prospect of its each frame by the background result obtained, then carry out binaryzation operation by setting appropriate threshold and carry out the process of morphological erosion expansion, and use connected component labeling algorithm to carry out connected component labeling to target prospect.
Further, described moving person comprises people, car; Described moving person characteristic information comprises: moving person motion track information, moving person locating information.
Above-mentioned moving person only illustrates, certainly can also comprise other moving object (such as: animal), is not used at this protection range limiting the present embodiment.
In concrete actual moving process, in whole picture, have face, human body and other moving foreground object extracted is followed the tracks of, records its track coordinate data.
Example is tracked as with human body, in concrete actual moving process, pass through detecting system of human body, utilize pedestrian's grader that off-line training is good, pedestrian's test (as: HOG feature) is carried out to the current foreground area of mark, the quantity of pedestrian in statistical picture, and locate the regional location of each human body in picture.
Further, obtain picture signal and the voice signal of moving person, after determining moving person characteristic information, also comprise:
Image information in the image information of the moving person of acquisition and the image data base of storage is compared, if the match is successful, then sends warning message.
Further, described image information comprises face information, palm information.
In concrete actual moving process, pass through face detection system, the face classification device (positive face, side face etc.) utilizing off-line training good, Face datection (as: detection Haar feature, LBP feature etc.) is carried out to the target prospect region of mark or the region that has human body to exist, the quantity of face in statistical picture, and locate each face location in picture;
By face identification system, to the regional extent of the face of having good positioning, carry out recognition of face analysis (as: Eigenfaces feature, Fisherfaces feature etc.), search face database, detect whether there is discernible face and information thereof.
Step 103: according to the relationship characteristic information of described moving person and described destination object, determines corresponding tracing and monitoring characteristic information.
Further, according to the relationship characteristic information of described moving person and described destination object, determine that the process of corresponding tracing and monitoring characteristic information is:
If the time that described destination object remains static, more than after the first preset time value, is carried by described moving person, then obtain moving person and carry the tracing and monitoring characteristic information after described destination object.
Further, if the time that described destination object remains static, more than after the first preset time value, is carried by described moving person, then obtain after moving person carries the tracing and monitoring characteristic information after described destination object, also comprise:
Tracing and monitoring characteristic information after the moving person of acquisition is carried described destination object transfers to warning device.
For human body, face, other moving person that cannot distinguish outside palm, can record the tracing and monitoring information of itself and destination object strictly according to the facts.
Further, according to the relationship characteristic information of described moving person and described destination object, determine that the process of corresponding tracing and monitoring characteristic information is:
When described moving person carries described destination object, then obtain described destination object further and depart from described moving person, transfer inactive state to by motion state and the time being in described inactive state more than after the second Preset Time, obtain the tracing and monitoring characteristic information of described moving person.
Further, when described moving person carries described destination object, then obtain described destination object further and depart from described moving person, transfer inactive state to by motion state and the time being in described inactive state more than after the second Preset Time, after obtaining the tracing and monitoring characteristic information of described moving person, also comprise:
The tracing and monitoring characteristic information of the described moving person obtained is transferred to warning device.
Further, described tracing and monitoring characteristic information comprises: image information, motion track information, locating information.
In concrete actual moving process, by legacy and lost thing detection system, foreground target is carried out to the statistics of the time of staying, and according to the data that tracking system obtains, to by moving to inactive state or being detected by the static foreground target to motion state, pass through present image, background image and foreground image, carry out judgment object whether to leave over or lost condition, roughly estimate object color and size, report to the police accordingly and record a video, and the movement locus of display legacy before leaving over and lost thing leave the movement locus in original place, if the main body of carrying this object is people, some relevant informations of this main body can also be obtained.
In addition, by video recording and warning system, some rules can be arranged report to the police, and record a video accordingly, such as: the face only occurred ROI region, human body, moving target are reported to the police, and ignore other region, or only ROI region is carried out to the warning of legacy, and ignore the warning etc. of lost thing.
Figure 2 shows that intelligent monitoring and controlling device structure chart of the present invention, comprise audio-video collection module 201, audio/video coding module 202, characteristics analysis module 203, analysis result processing module 204, tracing and monitoring module 205, alarm module 206;
Wherein, described audio-video collection module 201 is connected with described characteristics analysis module 203 by described audio/video coding module 202; Described audio/video coding module 202 is connected with described analysis result processing module 204 by described characteristics analysis module 203; Described characteristics analysis module 203 is connected with described tracing and monitoring module 205 by described analysis result processing module 204; Described analysis result processing module 204 is connected with described alarm module 206 by described tracing and monitoring module 205.
Described audio-video collection module 201, for gathering destination object characteristic information, moving person characteristic information described destination object characteristic information, described moving person characteristic information are sent to described audio/video coding module 202;
Described audio/video coding module 202, for encoding to described destination object characteristic information, described moving person characteristic information and the destination object characteristic information after coding, moving person characteristic information be sent to described characteristics analysis module 203;
Described characteristics analysis module 203, for analyzing the destination object characteristic information after coding, moving person characteristic information, and analysis result be sent to described analysis result processing module 204;
Described analysis result processing module 204, after receiving described analysis result, obtain the relationship characteristic information of moving person and destination object and the relationship characteristic information of described analysis result, described moving person and destination object is sent to described tracing and monitoring module 205;
Described tracing and monitoring module 205, for the relationship characteristic information according to moving person and destination object, determines corresponding tracing and monitoring characteristic information and described tracing and monitoring characteristic information is sent to described alarm module 206;
Described alarm module 206, for the tracing and monitoring characteristic information sent according to described tracing control module, carries out alert process.
By following scheme: obtain destination object characteristic information, moving person characteristic information; According to the relationship characteristic information of moving person and destination object, determine corresponding tracing and monitoring characteristic information; Achieve and whole event is comprehensively analyzed, diagnose fast, reach real supervisory function bit.
By following scheme: if the time that destination object remains static is more than after the first preset time value, passive movement main body is carried, then obtain after moving person carries the tracing and monitoring characteristic information after described destination object, also comprise: the tracing and monitoring characteristic information after the moving person of acquisition is carried described destination object transfers to warning device; Achieve accuracy and the predictability of warning, convenient analysis afterwards.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. an intelligent control method, is characterized in that, comprises the following steps:
Obtain destination object characteristic information, moving person characteristic information;
According to the relationship characteristic information of moving person and destination object, determine corresponding tracing and monitoring characteristic information.
2. method according to claim 1, is characterized in that,
Obtain destination object characteristic information;
Obtain picture signal and the voice signal of moving person, determine moving person characteristic information;
According to the relationship characteristic information of described moving person and described destination object, determine corresponding tracing and monitoring characteristic information.
3. method according to claim 1, is characterized in that, according to the relationship characteristic information of moving person and destination object, determines that the process of corresponding tracing and monitoring characteristic information is:
If the time that destination object remains static, passive movement main body was carried more than after the first preset time value, then obtain moving person and carry the tracing and monitoring characteristic information after described destination object.
4. method according to claim 3, it is characterized in that, if the time that destination object remains static is more than after the first preset time value, passive movement main body is carried, then obtain after moving person carries the tracing and monitoring characteristic information after described destination object, also comprise:
Tracing and monitoring characteristic information after the moving person of acquisition is carried described destination object transfers to warning device.
5. method according to claim 1, is characterized in that, according to the relationship characteristic information of moving person and destination object, determines that the process of corresponding tracing and monitoring characteristic information is:
When moving person carries destination object, then obtain described destination object further and depart from described moving person, transfer inactive state to by motion state and the time being in described inactive state more than after the second Preset Time, obtain the tracing and monitoring characteristic information of described moving person.
6. method according to claim 5, it is characterized in that, when moving person carries destination object, then obtain described destination object further and depart from described moving person, transfer inactive state to by motion state and the time being in described inactive state more than after the second Preset Time, after obtaining the tracing and monitoring characteristic information of described moving person, also comprise:
The tracing and monitoring characteristic information of the described moving person obtained is transferred to warning device.
7. method according to claim 1, is characterized in that, the process obtaining destination object characteristic information is: according to the movement state information of destination object, determine destination object characteristic information, wherein, described destination object comprises legacy, lost thing; Described destination object characteristic information comprises: legacy characteristic information, lost thing characteristic information.
8. method according to claim 7, is characterized in that, described legacy characteristic information comprises: the temporal information that legacy image information, legacy remain static; Described lost thing characteristic information comprises: the temporal information that lost thing image information, lost thing remain static.
9. an intelligent monitoring and controlling device, is characterized in that, comprises audio-video collection module, audio/video coding module, characteristics analysis module, analysis result processing module, tracing and monitoring module, alarm module;
Wherein, described audio-video collection module is connected with described characteristics analysis module by described audio/video coding module; Described audio/video coding module is connected with described analysis result processing module by described characteristics analysis module; Described characteristics analysis module is connected with described tracing and monitoring module by described analysis result processing module; Described analysis result processing module is connected with described alarm module by described tracing and monitoring module.
10. intelligent monitoring and controlling device according to claim 9, is characterized in that,
Described audio-video collection module, for gathering destination object characteristic information, moving person characteristic information described destination object characteristic information, described moving person characteristic information are sent to described audio/video coding module;
Described audio/video coding module, for encoding to described destination object characteristic information, described moving person characteristic information and the destination object characteristic information after coding, moving person characteristic information be sent to described characteristics analysis module;
Described characteristics analysis module, for analyzing the destination object characteristic information after coding, moving person characteristic information, and analysis result be sent to described analysis result processing module;
Described analysis result processing module, after receiving described analysis result, obtains the relationship characteristic information of moving person and destination object and the relationship characteristic information of described analysis result, described moving person and destination object is sent to described tracing and monitoring module;
Described tracing and monitoring module, for the relationship characteristic information according to moving person and destination object, determines corresponding tracing and monitoring characteristic information and described tracing and monitoring characteristic information is sent to described alarm module;
Described alarm module, for the tracing and monitoring characteristic information sent according to described tracing control module, carries out alert process.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109948494A (en) * | 2019-03-11 | 2019-06-28 | 深圳市商汤科技有限公司 | Image processing method and device, electronic equipment and storage medium |
| CN110062210A (en) * | 2019-04-28 | 2019-07-26 | 广东安居宝数码科技股份有限公司 | Monitoring method, device, equipment and the storage medium of object |
| CN110287934A (en) * | 2019-07-02 | 2019-09-27 | 北京搜狐互联网信息服务有限公司 | A kind of method for checking object, device, client and server |
| CN110543803A (en) * | 2018-05-29 | 2019-12-06 | 菜鸟智能物流控股有限公司 | Monitoring method, device, server and storage medium |
| CN111814509A (en) * | 2019-04-10 | 2020-10-23 | 杭州海康威视数字技术股份有限公司 | Article positioning method, device and monitoring system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101727672A (en) * | 2008-10-24 | 2010-06-09 | 云南正卓信息技术有限公司 | Method for detecting, tracking and identifying object abandoning/stealing event |
| CN102722700A (en) * | 2012-05-17 | 2012-10-10 | 浙江工商大学 | Method and system for detecting abandoned object in video monitoring |
| CN102881100A (en) * | 2012-08-24 | 2013-01-16 | 济南纳维信息技术有限公司 | Video-analysis-based antitheft monitoring method for physical store |
| CN103729858A (en) * | 2013-12-13 | 2014-04-16 | 广州中国科学院先进技术研究所 | Method for detecting article left over in video monitoring system |
-
2015
- 2015-09-30 CN CN201510638228.8A patent/CN105227918B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101727672A (en) * | 2008-10-24 | 2010-06-09 | 云南正卓信息技术有限公司 | Method for detecting, tracking and identifying object abandoning/stealing event |
| CN102722700A (en) * | 2012-05-17 | 2012-10-10 | 浙江工商大学 | Method and system for detecting abandoned object in video monitoring |
| CN102881100A (en) * | 2012-08-24 | 2013-01-16 | 济南纳维信息技术有限公司 | Video-analysis-based antitheft monitoring method for physical store |
| CN103729858A (en) * | 2013-12-13 | 2014-04-16 | 广州中国科学院先进技术研究所 | Method for detecting article left over in video monitoring system |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110543803A (en) * | 2018-05-29 | 2019-12-06 | 菜鸟智能物流控股有限公司 | Monitoring method, device, server and storage medium |
| CN109948494A (en) * | 2019-03-11 | 2019-06-28 | 深圳市商汤科技有限公司 | Image processing method and device, electronic equipment and storage medium |
| TWI702544B (en) * | 2019-03-11 | 2020-08-21 | 大陸商深圳市商湯科技有限公司 | Method, electronic device for image processing and computer readable storage medium thereof |
| WO2020181728A1 (en) * | 2019-03-11 | 2020-09-17 | 深圳市商汤科技有限公司 | Image processing method and apparatus, electronic device, and storage medium |
| CN109948494B (en) * | 2019-03-11 | 2020-12-29 | 深圳市商汤科技有限公司 | Image processing method and device, electronic equipment and storage medium |
| US11288531B2 (en) | 2019-03-11 | 2022-03-29 | Shenzhen Sensetime Technology Co., Ltd. | Image processing method and apparatus, electronic device, and storage medium |
| CN111814509A (en) * | 2019-04-10 | 2020-10-23 | 杭州海康威视数字技术股份有限公司 | Article positioning method, device and monitoring system |
| CN111814509B (en) * | 2019-04-10 | 2023-09-29 | 杭州海康威视数字技术股份有限公司 | Article positioning method, device and monitoring system |
| CN110062210A (en) * | 2019-04-28 | 2019-07-26 | 广东安居宝数码科技股份有限公司 | Monitoring method, device, equipment and the storage medium of object |
| CN110287934A (en) * | 2019-07-02 | 2019-09-27 | 北京搜狐互联网信息服务有限公司 | A kind of method for checking object, device, client and server |
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