CN110276323A - A kind of Activity recognition system and recognition methods held knife and kidnap driver - Google Patents
A kind of Activity recognition system and recognition methods held knife and kidnap driver Download PDFInfo
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- CN110276323A CN110276323A CN201910563529.7A CN201910563529A CN110276323A CN 110276323 A CN110276323 A CN 110276323A CN 201910563529 A CN201910563529 A CN 201910563529A CN 110276323 A CN110276323 A CN 110276323A
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Abstract
The invention discloses a kind of Activity recognition systems and recognition methods held knife and kidnap driver, belong to artificial intelligence field.Identifying system includes: video data acquiring terminal, vehicle-mounted data processing terminal, control data corporation, alarm module and database, video original data in video data acquiring terminal collecting vehicle, it is pre-processed by vehicle-mounted data processing terminal, control data corporation carries out Activity recognition and tool recognizing, judge abduction behavior, and related data is stored in database.The present invention can be realized effective alarm immediately when driver connects and is held as a hostage, and improve alarm efficiency and alarm accuracy, be capable of providing the face and aspectual character information of hijacker, provide foundation for the investigation of later period key.
Description
Technical field
The invention belongs to artificial intelligence fields, and in particular to a kind of Activity recognition system and knowledge held knife and kidnap driver
Other method.
Background technique
With the economic fast development with science and technology, the trip of people is also more and more square by vehicles such as buses
Just, some bad behaviors fast, are consequently also produced --- driver is kidnapped, when driver's attention is placed in driving
Face implements to control to it, to obtain interests.Interior abduction behavior greatly affected property and the personal safety of citizen, mesh
Preceding most of interior cases of kidnapping have the defects that the following aspects in emergency processing and later period investigation:
One, hijacker face and aspectual character absence of information cause the investigation of case later period difficult；
Two, hijackers control the personnel that are held as a hostage and externally contact, it is difficult to realize and alarm at the first time；
The emergency behavior of three, hijackees may bring bigger injury to itself, it is difficult to realize concealed alarm.
Summary of the invention
It is an object of the invention to: provide a kind of Activity recognition system and identification side held knife and kidnap driver
Method solves the interior alarm security and actual effect for kidnapping case, and investigates the case later period constant problem.
The technical solution adopted by the invention is as follows:
A kind of Activity recognition system held knife and kidnap driver, comprising: video acquisition terminal, for acquiring driver
With the video original data of the sharp sharp instrument such as hijacker's behavior and cutter；
The vehicle-mounted data processing terminal being connect with video data acquiring terminal, for real-time collected video original number
According to being pre-processed；
The control data corporation being wirelessly connected with vehicle-mounted data processing terminal, locates in advance for handling vehicle-mounted data processing terminal
Video data after reason carries out Activity recognition, tool recognizing and the identification of sharp sharp instrument, and abduction behavior is sent to system
Administrator and public security department；
The alarm module connecting with control data corporation is sounded an alarm according to the recognition result of control data corporation, is reminded
Public security department and emergency contact；
The database being connect with control data corporation, for storing the video data of processing, the feature letter including hijacker
Breath；
The pretreatment of the vehicle-mounted data processing terminal is realized to the positioning of human body and the processing of gray scale；
The database storage driver reserves required movement, identifies for driver's initiative alarming.
Further, the control data corporation uses the logarithm based on the backstage springboot and the exploitation of the front end vue.js
According to classification storage, the module of inquiry, deletion is carried out, multiply the precision recognizer for carrying the sharp sharp instrument of cutter based on yolo v3, with
And the Human bodys' response algorithm based on openpose.
Further, the vehicle-mounted data processing terminal uses the GPU to be for the raspberry pie of roadcom VideoCore IV
Master controller carries out preprocessing module to video data.
Further, it is the conventional action that hijackee does not discover that the driver, which reserves required movement,.
Further, the video data acquiring terminal, which is used, can collect clear video counts under low luminous environment
According to low-illuminance cameras.
A kind of Activity recognition method held knife and kidnap driver, steps are as follows:
It is sharp that step 1 video data acquiring terminal acquires behavior of driver and hijacker, and acquisition cutter etc.
The video original data of sharp instrument；
Step 2 vehicle-mounted data processing terminal pre-processes video original data, carries out human body positioning and goes gray scale；
Step 3 control data corporation receives the video data that pretreatment is received by wireless transmission method, to video data
The information for including is identified judge whether the behavior of driver is consistent with reserved required movement, or judge whether there is
The abduction behavior of hijacker, and the sharp sharp instrument such as recognize whether cutter；If being judged as NO, execution step 1 is jumped back to；
If being judged as YES, step 4 is continued to execute；
By identification information, the characteristic information including hijacker is stored to database step 4 control data corporation, and will
It kidnaps situation and is sent to system manager and public security department；
The abduction behavior that step 5 alarm module is identified according to data processing centre sounds an alarm, remind public security department and
Emergency contact makes corresponding measure.
Further, the video data acquiring of the step 1 is continuous video data acquisition.
Further, the Vehicular video data processing terminal in the step 2 is for video original data collected
Each frame image carries out sampling extraction, and identification extracts the movement content region in image, and carries out feature extraction.
Further, in the step 4 and step 5, the contact method and information of public security department and emergency contact are pre-
It is first stored in database, is called by control data corporation.
Further, the control data corporation, the creation using distributed type assemblies mode to database.
In conclusion by adopting the above-described technical solution, the beneficial effects of the present invention are:
1. control data corporation is used based on the backstage spr ingboot with the exploitation of the front end vue.js to data in the present invention
Classification storage, the module of inquiry, deletion are carried out, the precision recognizer for carrying the sharp sharp instrument of cutter based on yo lo v3 is multiplied, with
And the Human bodys' response algorithm based on openpose, vehicle-mounted data processing terminal use GPU for roadcom VideoCore
The raspberry pie of IV is master controller.By video data acquiring terminal continuous collecting data, can effectively accurately to behavior and
The sharp sharp instrument such as cutter is identified whether real-time judge driver is held as a hostage, and realizes zero-lag alarm, and relevant department is quick
Reaction reduces loss to greatest extent.
2. in the present invention Vehicular video data processing terminal for video original data collected each frame image into
Row sampling is extracted, and identification extracts the movement content region in image, and carries out feature extraction.Abduction can effectively be recorded
The face and posture information characteristics of person provides conveniently to kidnap the subsequent work of investigating of case.
3. the reserved required movement of driver is added in the present invention in systems, misfortune can be improved when encountering abduction
Hold recognition accuracy and the recognition efficiency of behavior.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings, in which:
Fig. 1 is identifying system block diagram of the invention；
Fig. 2 is identifying system topological relation figure of the present invention；
Fig. 3 is identification process figure of the present invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that described herein, specific examples are only used to explain the present invention, not
For limiting the present invention, i.e., described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is logical
The component for the embodiment of the present invention being often described and illustrated herein in the accompanying drawings can be arranged and be designed with a variety of different configurations.
Therefore, the detailed description of the embodiment of the present invention provided in the accompanying drawings is not intended to limit below claimed
The scope of the present invention, but be merely representative of selected embodiment of the invention.Based on the embodiment of the present invention, those skilled in the art
Member's every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
It should be noted that the relational terms of term " first " and " second " or the like be used merely to an entity or
Operation is distinguished with another entity or operation, and without necessarily requiring or implying between these entities or operation, there are any
This actual relationship or sequence.Moreover, the terms "include", "comprise" or its any other variant be intended to it is non-exclusive
Property include so that include a series of elements process, method, article or equipment not only include those elements, but also
Further include other elements that are not explicitly listed, or further include for this process, method, article or equipment it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including described
There is also other identical elements in the process, method, article or equipment of element.
A kind of Activity recognition system held knife and kidnap driver as shown in Figure 1:, comprising: video acquisition terminal, for adopting
Collect the video original data of driver and the sharp sharp instrument such as hijacker's behavior and cutter；
The vehicle-mounted data processing terminal being connect with video data acquiring terminal, for real-time collected video original number
According to being pre-processed；
The control data corporation being wirelessly connected with vehicle-mounted data processing terminal, locates in advance for handling vehicle-mounted data processing terminal
Video data after reason carries out Activity recognition, tool recognizing and the identification of sharp sharp instrument, and abduction behavior is sent to system
Administrator and public security department；
The alarm module connecting with control data corporation is sounded an alarm according to the recognition result of control data corporation, is reminded
Public security department and emergency contact；
The database being connect with control data corporation, for storing the video data of processing, the feature letter including hijacker
Breath；
The pretreatment of the vehicle-mounted data processing terminal is realized to the positioning of human body and the processing of gray scale；
The database storage driver reserves required movement, identifies for driver's initiative alarming.
Specifically, video data acquiring terminal uses low-illuminance cameras.Even if it is understood that low-illuminance cameras
Can also collect clearly video data under low luminous environment, the illumination of general low-illuminance cameras mostly in 0Lux or
0.1Lux, the size of brightness value are the aperture sizes (F value) of camera lens to be seen, the smaller required illumination of F value is lower, and 0Lux is indicated
Do not have shoot under light conditions yet.The rank of low-illuminance cameras minimal illumination can be divided into three classes: 0.1Lux: half-light grade；
0.01Lux: the moon lighting level；0.001Lux and following: starlight grade.
It for the raspberry pie of roadcom VideoCore IV is master controller that the vehicle-mounted data processing terminal, which uses GPU,
Preprocessing module is carried out to video data.Vehicular video data processing terminal is directed to each frame of video original data collected
Image carries out sampling extraction, and identification extracts the movement content region in image, and carries out feature extraction.Including driver's
Behavioural characteristic, the behavioural characteristic of hijacker, the face and posture information characteristics of hijacker.
The control data corporation, which is used, divides data based on what the backstage spr ingboot and the front end vue.js were developed
Class storage, inquiry, the module deleted, multiply the precision recognizer for carrying the sharp sharp instrument of cutter based on yo lo v3, and be based on
The Human bodys' response algorithm of openpose.Depth recognition is carried out to vehicle-mounted data processing terminal treated data information, is adopted
With the data management module and feature identification technique of above-mentioned platform development, facilitate the storage, inquiry and deletion of data, while to row
It is high for the accuracy of identification with cutter.
It is understood that the backstage the raspberry pie master controller of roadcom VideoCore IV, spr ingboot,
The front end vue.js and yo lo v3 and openpose recognizer are the prior art, and concrete application does not repeat them here herein.
Preferably, it is the conventional action that hijackee does not discover that the driver, which reserves required movement,.
Specifically, it is multiple same for the driver being reserved required movement and intercepted from the video data of real-time Transmission
The set of the video subsegment of a movement.Human bodys' response algorithm is based on using openpose to realize to multiple videos in the set
The training of subsegment.Training result is recorded as to represent data, the foundation as alarm system work.
As shown in figure 3, a kind of Activity recognition method held knife and kidnap driver, steps are as follows:
It is sharp that step 1 video data acquiring terminal acquires behavior of driver and hijacker, and acquisition cutter etc.
The video original data of sharp instrument；
Step 2 vehicle-mounted data processing terminal pre-processes video original data, carries out human body positioning and goes gray scale；
Step 3 control data corporation receives the video data that pretreatment is received by wireless transmission method, to video data
The information for including is identified judge whether the behavior of driver is consistent with reserved required movement, or judge whether there is
The abduction behavior of hijacker, and the sharp sharp instrument such as recognize whether cutter；If being judged as NO, execution step 1 is jumped back to；
If being judged as YES, step 4 is continued to execute；
By identification information, the characteristic information including hijacker is stored to database step 4 control data corporation, and will
It kidnaps situation and is sent to system manager and public security department；
The abduction behavior that step 5 alarm module is identified according to data processing centre sounds an alarm, remind public security department and
Emergency contact makes corresponding measure.
Specifically, memory of driving personnel reserve required movement and system manager, public security department, tight in the database in advance
The contact method and relevant information of anxious contact person passes through video data acquiring terminal continuous acquisition video original data, Vehicular data
Video original data is obtained according to processing terminal to be pre-processed, and is positioned human body and image grayscale processing, is passed through wireless transmission method
It is sent to control data corporation and carries out Activity recognition and tool recognizing, judge abduction behavior, and deposit correlated characteristic information is kidnapped
Database is stored up, facilitates the later period to kidnap case investigation and does foundation.
Preferably, video data is realized in the control data corporation, the creation using distributed type assemblies mode to database
Secure storage.
The foregoing is merely illustrative of the preferred embodiments of the present invention, the protection scope being not intended to limit the invention, any
Those skilled in the art within the spirit and principles in the present invention made by any modifications, equivalent replacements, and improvements etc.,
It should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of Activity recognition system held knife and kidnap driver characterized by comprising video acquisition terminal, for adopting
Collect the video original data of driver and the sharp sharp instrument such as hijacker's behavior and cutter；
The vehicle-mounted data processing terminal being connect with video data acquiring terminal, for real-time collected video original data into
Row pretreatment；
The control data corporation being wirelessly connected with vehicle-mounted data processing terminal, after handling the pretreatment of vehicle-mounted data processing terminal
Video data, carry out Activity recognition, tool recognizing and the identification of sharp sharp instrument, and abduction behavior be sent to system administration
Member and public security department；
The alarm module connecting with control data corporation is sounded an alarm according to the recognition result of control data corporation, reminds public security
Department and emergency contact；
The database being connect with control data corporation, for storing the video data of processing, the characteristic information including hijacker；
The pretreatment of the vehicle-mounted data processing terminal is realized to the positioning of human body and the processing of gray scale；
The database storage driver reserves required movement, identifies for driver's initiative alarming.
2. a kind of Activity recognition system held knife and kidnap driver according to claim 1, it is characterised in that: the number
It is used according to administrative center and classification storage is carried out to data, inquires, deletes based on the backstage springboot and the exploitation of the front end vue.js
The module removed multiplies the precision recognizer for carrying the sharp sharp instrument of cutter based on yolo v3, and the human body row based on openpose
For recognizer.
3. a kind of Activity recognition system held knife and kidnap driver according to claim 1, it is characterised in that: the vehicle
Carrying data processing terminal and use GPU for the raspberry pie of roadcom VideoCore IV is master controller, to video data progress
Preprocessing module.
4. a kind of Activity recognition system held knife and kidnap driver according to claim 1, it is characterised in that: described to drive
Sailing personnel and reserving required movement is the conventional action that hijackee does not discover.
5. a kind of Activity recognition system held knife and kidnap driver according to claim 1, it is characterised in that: the view
Frequency data collection station is using the low-illuminance cameras that can collect clear video data under low luminous environment.
6. a kind of Activity recognition method held knife and kidnap driver, which is characterized in that steps are as follows:
Step 1 video data acquiring terminal acquires the sharp sharp instruments such as the behavior of driver and hijacker, and acquisition cutter
Video original data；
Step 2 vehicle-mounted data processing terminal pre-processes video original data, carries out human body positioning and goes gray scale；
Step 3 control data corporation receives the video data that pretreatment is received by wireless transmission method, includes to video data
Information identified judge whether the behavior of driver consistent with reserved required movement, or judge whether there is abduction
The abduction behavior of person, and the sharp sharp instrument such as recognize whether cutter；If being judged as NO, execution step 1 is jumped back to；If sentencing
It is yes for breaking, then continues to execute step 4；
By identification information, the characteristic information including hijacker is stored to database step 4 control data corporation, and will be kidnapped
Situation is sent to system manager and public security department；
The abduction behavior that step 5 alarm module is identified according to data processing centre sounds an alarm, and reminds public security department and urgent
Contact person makes corresponding measure.
7. a kind of Activity recognition method held knife and kidnap driver according to claim 6, it is characterised in that: the step
Rapid one video data acquiring is continuous video data acquisition.
8. a kind of Activity recognition method held knife and kidnap driver according to claim 6, it is characterised in that: the step
Vehicular video data processing terminal in rapid two carries out sampling extraction for each frame image of video original data collected,
Identification extracts the movement content region in image, and carries out feature extraction.
9. a kind of Activity recognition method held knife and kidnap driver according to claim 6, it is characterised in that: the step
Rapid four and step 5 in, the contact method and information of public security department and emergency contact are pre-stored in database, by data
Administrative center calls.
10. a kind of Activity recognition method held knife and kidnap driver according to claim 6, it is characterised in that: described
Control data corporation, the creation using distributed type assemblies mode to database.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110866462A (en) * | 2019-10-29 | 2020-03-06 | 汉腾汽车有限公司 | Behavior recognition system and method integrated in intelligent police car |
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| FR2833389A1 (en) * | 2001-12-10 | 2003-06-13 | Tian Fa Lay | Aircraft hijack prevention system having protected cover alarms transmitting cockpit alarm/recording with cockpit display and door lock recorder connected with security mechanism providing paralysing/tear gas main cabin |
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| CN108765870A (en) * | 2018-06-28 | 2018-11-06 | 信利光电股份有限公司 | Interior method for safety monitoring, device, equipment and computer readable storage medium |
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| CN110866462A (en) * | 2019-10-29 | 2020-03-06 | 汉腾汽车有限公司 | Behavior recognition system and method integrated in intelligent police car |
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Application publication date: 20190924 |