CN206195933U - Video action identification system - Google Patents
Video action identification system Download PDFInfo
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- CN206195933U CN206195933U CN201621231279.5U CN201621231279U CN206195933U CN 206195933 U CN206195933 U CN 206195933U CN 201621231279 U CN201621231279 U CN 201621231279U CN 206195933 U CN206195933 U CN 206195933U
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- China
- Prior art keywords
- video
- alarm
- behavior identifying
- identifying system
- action
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Abstract
The utility model discloses a video action identification system, including video action recognition device, video action recognition device includes memory, alarm, host computer, bayes classifier, video processor, video decoder and infrared camera machine, and the infrared camera machine transmits the video picture of shooing for video decoder decode, then video information transmitted carry out the preliminary treatment and extract the video for video processor in the action action characteristic of object, then these recognition device 1 are transmitted for bayes classifier. Beneficial effect lies in: this video action identification system can be initiatively carries out analysis processes to the behavior feature of object in the video, and when the suspicious circumstances of discovery, the alarm can automatic alarm, carries out the method of video action discernment with traditional dependence special messenger and compares, and labour saving and time saving has not only reduced the cost of labor, is difficult to omit suspicious information in addition.
Description
Technical field
The utility model is related to Intelligent Recognition field, more particularly to a kind of video behavior identifying system.
Background technology
Traditional video Activity recognition relies primarily on special messenger and stays within 24 hours Control Room, and glasses keep a close watch on monitored picture to monitoring
Video is analyzed, the alert immediately when there is doubtful situations, and this video behavior recognition methods takes time and effort, manually
High cost and influenceed larger by the subjective factor of people, easily leaked the doubtful situations seen in video.Therefore need design a kind of new
The video behavior identifying system of type solves the above problems.
Utility model content
The purpose of this utility model is that and provide a kind of video behavior identifying system in order to solve the above problems.
The utility model is achieved through the following technical solutions above-mentioned purpose:
A kind of video behavior identifying system, including video behavior identifying device, the video behavior identifying device include depositing
Reservoir, alarm, host computer, Bayes classifier, video processor, Video Decoder and thermal camera, it is described infrared to take the photograph
The video pictures of shooting are passed to the Video Decoder and are decoded by camera, and then video information is delivered to the video
Processor is pre-processed and is extracted the behavior act feature of object in video, and then these characteristic informations are delivered to the shellfish
Leaf this grader, the Bayes classifier is by these characteristic informations and characteristic information data storehouse memory storage in the memory
Characteristic information is contrasted and comparing result is passed into the host computer, when the behavioural characteristic of object in video and the storage
When the information of device memory storage is inconsistent, the host computer controls the alarm equipment alarm according to the comparing result;
The video behavior identifying device is electrically connected with inverter, and the inverter is electrically connected with controller and battery pack,
The controller is also electrically connected with the battery pack and header box, and the header box is electrically connected with solar panel.
In order to further improve the practicality of video behavior identifying system, the controller uses LMS2420 solar energy controls
Device processed.
In order to further improve the practicality of video behavior identifying system, the battery pack uses serondary lithium battery group.
In order to further improve the practicality of video behavior identifying system, the inverter is inverse using SI-A2-VS350 types
Become device.
In order to further improve the practicality of video behavior identifying system, the video processor is complete using AMS-LVP805
Color HD video processor.
In order to further improve the practicality of video behavior identifying system, the Video Decoder and the thermal camera
With video processor electrical connection, the Bayes classifier and the video processor, the memory and described upper
Mechatronics, the host computer is also electrically connected with the alarm.
Beneficial effect is:The video behavior identifying system actively can be analyzed to the behavioural characteristic of object in video
Treatment, when find doubtful situations when, the alarm can automatic alarm, carry out video Activity recognition with traditional dependence special messenger
Method compare, it is time saving and energy saving, not only reduce cost of labor, and be not easy to omit suspicious information.
Brief description of the drawings
Fig. 1 is a kind of structural representation of video behavior identifying system described in the utility model.
Description of reference numerals is as follows:
1st, video behavior identifying device;2nd, memory;3rd, alarm;4th, host computer;5th, Bayes classifier;6th, at video
Reason device;7th, Video Decoder;8th, thermal camera;9th, inverter;10th, battery pack;11st, controller;12nd, header box;13rd, the sun
Can cell panel.
Specific embodiment
The utility model is described in further detail below in conjunction with the accompanying drawings:
As shown in figure 1, a kind of video behavior identifying system, including video behavior identifying device 1, video behavior identifying device
1 includes memory 2, alarm 3, host computer 4, Bayes classifier 5, video processor 6, Video Decoder 7 and infrared photography
The video pictures of shooting are passed to Video Decoder 7 and are decoded by machine 8, thermal camera 8, and then video information is delivered to
Video processor 6 is pre-processed and is extracted the behavior act feature of object in video, and then these characteristic informations are delivered to
Bayes classifier 5, Bayes classifier 5 is by the spy of characteristic information data storehouse memory storage in these characteristic informations and memory 2
Reference breath is contrasted and comparing result is passed into host computer 4, when the behavioural characteristic of object in video and the memory storage of memory 2
Information it is inconsistent when, host computer 4 according to the comparing result control alarm 3 alarm;
Video behavior identifying device 1 is electrically connected with inverter 9, and inverter 9 is electrically connected with controller 11 and battery pack 10, control
Device processed 11 is also electrically connected with battery pack 10 and header box 12, and header box 12 is electrically connected with solar panel 13, solar cell
Plate 13 is known after a direct current part for generation is converted into alternating current through inverter 9 under the control of controller 11 for video behavior
The other work of device 1 is used, and another part is then stored in battery pack 10.
In order to further improve the practicality of video behavior identifying system, controller 11 uses LMS2420 solar controls
Device, battery pack 10 uses serondary lithium battery group, and inverter 9 uses SI-A2-VS350 type inverters, video processor 6 to use
The full-color HD video processors of AMS-LVP805, Video Decoder 7 is electrically connected with thermal camera 8 and video processor 6, pattra leaves
This grader 5 is electrically connected with video processor 6, memory 2 and host computer 4, and host computer 4 is also electrically connected with alarm 3.
General principle of the present utility model, principal character and advantage has been shown and described above.The technical staff of the industry
It should be appreciated that the utility model is not restricted to the described embodiments, the simply explanation described in above-described embodiment and specification is originally
The principle of utility model, on the premise of the utility model spirit and scope are not departed from, the utility model also has various change
And improvement, these changes and improvements are both fallen within the range of claimed the utility model.The utility model claims scope
Defined by appending claims and its effect thing.
Claims (6)
1. a kind of video behavior identifying system, including video behavior identifying device, it is characterised in that:The video Activity recognition dress
Put including memory, alarm, host computer, Bayes classifier, video processor, Video Decoder and thermal camera, institute
State thermal camera the video pictures of shooting are passed into the Video Decoder and decoded, then video information is delivered to
The video processor is pre-processed and is extracted the behavior act feature of object in video, and then these characteristic informations are passed
To the Bayes classifier, the Bayes classifier is by these characteristic informations and characteristic information data storehouse in the memory
The characteristic information of memory storage is contrasted and comparing result is passed into the host computer, when in video the behavioural characteristic of object with
When the information of the memory memory storage is inconsistent, the host computer controls the alarm equipment alarm according to the comparing result;
The video behavior identifying device is electrically connected with inverter, and the inverter is electrically connected with controller and battery pack, described
Controller is also electrically connected with the battery pack and header box, and the header box is electrically connected with solar panel.
2. a kind of video behavior identifying system according to claim 1, it is characterised in that:The controller is used
LMS2420 controller for solar.
3. a kind of video behavior identifying system according to claim 1, it is characterised in that:The battery pack uses secondary lithium
Battery pack.
4. a kind of video behavior identifying system according to claim 1, it is characterised in that:The inverter uses SI-A2-
VS350 type inverters.
5. a kind of video behavior identifying system according to claim 1, it is characterised in that:The video processor is used
The full-color HD video processors of AMS-LVP805.
6. a kind of video behavior identifying system according to claim 1, it is characterised in that:The Video Decoder with it is described
Thermal camera and video processor electrical connection, the Bayes classifier and the video processor, the memory
With the upper mechatronics, the host computer also electrically connects with the alarm.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201621231279.5U CN206195933U (en) | 2016-11-15 | 2016-11-15 | Video action identification system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201621231279.5U CN206195933U (en) | 2016-11-15 | 2016-11-15 | Video action identification system |
Publications (1)
Publication Number | Publication Date |
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CN206195933U true CN206195933U (en) | 2017-05-24 |
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ID=58725899
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
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CN201621231279.5U Expired - Fee Related CN206195933U (en) | 2016-11-15 | 2016-11-15 | Video action identification system |
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CN (1) | CN206195933U (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107396058A (en) * | 2017-08-23 | 2017-11-24 | 芜湖超源力工业设计有限公司 | A kind of special fly simulation training supervising device of space flight |
CN108647509A (en) * | 2018-05-11 | 2018-10-12 | 北京北信源信息安全技术有限公司 | A kind of method and device for preventing sensitive document from revealing |
CN110532857A (en) * | 2019-07-16 | 2019-12-03 | 杭州电子科技大学 | Based on the Activity recognition image analysis system under multi-cam |
-
2016
- 2016-11-15 CN CN201621231279.5U patent/CN206195933U/en not_active Expired - Fee Related
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107396058A (en) * | 2017-08-23 | 2017-11-24 | 芜湖超源力工业设计有限公司 | A kind of special fly simulation training supervising device of space flight |
CN108647509A (en) * | 2018-05-11 | 2018-10-12 | 北京北信源信息安全技术有限公司 | A kind of method and device for preventing sensitive document from revealing |
CN110532857A (en) * | 2019-07-16 | 2019-12-03 | 杭州电子科技大学 | Based on the Activity recognition image analysis system under multi-cam |
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Legal Events
Date | Code | Title | Description |
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GR01 | Patent grant | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20170524 Termination date: 20201115 |