CN108021907A - The sensing data searching method and device of destination object, storage medium, terminal - Google Patents
The sensing data searching method and device of destination object, storage medium, terminal Download PDFInfo
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- CN108021907A CN108021907A CN201711446346.4A CN201711446346A CN108021907A CN 108021907 A CN108021907 A CN 108021907A CN 201711446346 A CN201711446346 A CN 201711446346A CN 108021907 A CN108021907 A CN 108021907A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/12—Classification; Matching
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
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Abstract
The sensing data searching method and device of a kind of destination object, storage medium, terminal, the described method includes：Determine at least one feature to be searched of destination object；Feature list is traveled through, judges that the characteristic value for whether including at least one analysis object in each feature list is consistent with least one feature to be searched；If consistent, it is determined that the corresponding data slot of the feature list belongs to the sensing data of the destination object；Wherein, each feature list be uploaded to a sensor sensor database one or more snippets data slot it is corresponding, at least one analysis object is included in each feature list, each analysis object has one group of characteristic value.The present invention program can improve search efficiency.
Description
Technical field
The present invention relates to the sensing data searching method and dress of field of computer technology, more particularly to a kind of destination object
Put, storage medium, terminal.
Background technology
With the development of technology, sensor technology has obtained more and more extensive use.Such as technical difficulty is relatively easy
Temperature sensor, humidity sensor, infrared sensor etc., or the relative complex sound transducer of technical difficulty, image
Sensor etc., is applied in numerous industries such as security protection, industry, business.
In security and guard technology, generally use monitor camera, door sensor alarm, window magnetic alarm, infrared detector etc.,
The parameter value of warning or storage exception is sent during environmental abnormality.
However, when needing to scan for destination object, often through manually to the people that occurs in audio-video document or
Thing is analyzed, and accuracy rate is relatively low and inefficiency, or by intelligent recognition algorithm or matching algorithm frame by frame or paragraph by paragraph in sound
Search destination object in video file, calculation amount is larger cause it is less efficient.
The content of the invention
Sensing data searching method and device, storage the technical problem to be solved by the present invention is to provide a kind of destination object
Medium, terminal, can improve search efficiency.
In order to solve the above technical problems, the embodiment of the present invention provides a kind of sensing data searching method of destination object,
Including：Determine at least one feature to be searched of destination object；Feature list is traveled through, judges whether included in each feature list
Have it is at least one analysis object characteristic value it is consistent with least one feature to be searched；It is if consistent, it is determined that the spy
The corresponding data slot of sign list belongs to the sensing data of the destination object；Wherein, each feature list and a sensing
One or more snippets data slot that device is uploaded to sensor database corresponds to, and at least one analysis pair is included in each feature list
As each analysis object has one group of characteristic value.
Optionally, determining at least one feature to be searched of destination object includes：According to the classification of sensor, determine described
At least one feature to be searched of destination object.
Optionally, the classification according to sensor, determining at least one feature to be searched of the destination object includes：
If the classification of the sensor is optical sensor, it is determined that at least one feature to be searched of the destination object include with
The next item down is multinomial：The clothes color of people, the facial characteristics of people, the color of article, the texture of article；If the sensor
Classification is audio sensor, it is determined that at least one feature to be searched of the destination object includes following one or more：Sound
Frequently, volume；If the classification of the sensor is infrared ray sensor, it is determined that the destination object it is at least one to be searched
Feature includes following one or more：Body surface temperature.
Optionally, the traversal feature list includes：According to the position of sensor, the sensor for traveling through predeterminated position uploads
To the corresponding feature list of data slot of sensor database.
Optionally, the traversal feature list includes：Travel through the corresponding characteristic series of data slot of shooting in preset time
Table；Alternatively, the corresponding feature list of data slot of sensor database is uploaded in traversal preset time.
Optionally, the characteristic value for judging whether to include in each feature list at least one analysis object with it is described
At least one feature to be searched unanimously includes：If the feature to be searched that the characteristic value of at least one analysis object includes reaches
To preset ratio, then it is judged as that the characteristic value of at least one analysis object is consistent with the feature to be searched.
Optionally, the preset ratio is selected from 60% to 100%.
Optionally, the sensing data searching method of the destination object further includes：Store and/or send the target pair
The sensing data of elephant is to user.
Optionally, the analysis object is further included in each feature list in the corresponding data slot of the feature list
Time of occurrence and extinction time, the storage and/or send the sensing data of the destination object and include：Storage and/
Or send from the time of occurrence to the data slot between the extinction time to user.
Optionally, the sensing data for storing and/or sending the destination object includes：If the destination object
Sensing data include multiple segment data fragment, then after arranging sequentially in time the multiple segment data fragment, stored
And/or send to user.
Optionally, the sensing data searching method of the destination object further includes：Determine the sensing of the destination object
The induction region of sensor in device data per segment data fragment association；The geographical location of the induction region is sent to use
Family.
In order to solve the above technical problems, the embodiment of the present invention provides a kind of sensing data searcher of destination object,
Including：Characteristic determination module to be searched, is adapted to determine that at least one feature to be searched of destination object；Judgment module, suitable for time
Go through feature list, judge whether to include in each feature list the characteristic value of at least one analysis object with it is described at least one
Feature to be searched is consistent；Target data determining module, suitable for when consistent, determining the corresponding data slot category of the feature list
In the sensing data of the destination object；Wherein, each feature list is uploaded to sensor database with a sensor
One or more snippets data slot corresponds to, and at least one analysis object is included in each feature list, and each analysis object has one
Group characteristic value.
Optionally, the characteristic determination module to be searched includes：Characteristics determining unit to be searched, suitable for according to sensor
Classification, determines at least one feature to be searched of the destination object.
Optionally, the characteristics determining unit to be searched includes：First feature determination subelement to be searched, suitable for when described
When the classification of sensor is optical sensor, determine the destination object at least one feature to be searched include with the next item down or
It is multinomial：The clothes color of people, the facial characteristics of people, the color of article, the texture of article；Second feature to be searched determines sub single
Member, suitable for when the classification of the sensor is audio sensor, determining at least one feature to be searched of the destination object
Including following one or more：Audio, volume；3rd feature determination subelement to be searched, suitable for when the classification of the sensor
For infrared ray sensor when, determine the destination object at least one feature to be searched include it is following one or more：Object
Surface temperature.
Optionally, the judgment module includes：Position Traversal Unit, suitable for the position according to sensor, travels through default position
The sensor put is uploaded to the corresponding feature list of data slot of sensor database.
Optionally, the judgment module includes：First time Traversal Unit, suitable for the data shot in traversal preset time
The corresponding feature list of fragment；Alternatively, the second time Traversal Unit, suitable for being uploaded to sensor database in traversal preset time
The corresponding feature list of data slot.
Optionally, judgment module includes：Judging unit, suitable for what is included when the characteristic value of at least one analysis object
When feature to be searched reaches preset ratio, it is judged as that the characteristic value of at least one analysis object is consistent with the feature to be searched.
Optionally, the preset ratio is selected from 60% to 100%.
Optionally, the sensing data searcher of the destination object further includes：Sending module is stored, suitable for storage
And/or the sensing data of the destination object is sent to user.
Optionally, the analysis object is further included in each feature list in the corresponding data slot of the feature list
Time of occurrence and extinction time, it is described storage sending module include：First storage transmitting element, suitable for storing and/or sending out
Send from the time of occurrence to the data slot between the extinction time to user.
Optionally, the storage sending module includes：Second storage transmitting element, suitable for when the sensing of the destination object
When device data include multiple segment data fragment, after arranging sequentially in time the multiple segment data fragment, stored and/or sent out
Send to user.
Optionally, the sensing data searcher of the destination object further includes：Induction region determining module, suitable for true
The induction region of sensor in the sensing data of the fixed destination object per segment data fragment association；Induction region sends mould
Block, suitable for sending in the geographical location of the induction region to user.
In order to solve the above technical problems, the embodiment of the present invention provides a kind of storage medium, computer instruction is stored thereon with,
The step of sensing data searching method of above-mentioned destination object being performed during the computer instruction operation.
In order to solve the above technical problems, the embodiment of the present invention provides a kind of terminal, including memory and processor, it is described to deposit
The computer instruction that can be run on the processor is stored with reservoir, when the processor runs the computer instruction
The step of performing the sensing data searching method of above-mentioned destination object.
Compared with prior art, the technical solution of the embodiment of the present invention has the advantages that：
In embodiments of the present invention, at least one feature to be searched of destination object is determined；Feature list is traveled through, is judged every
The characteristic value for whether including at least one analysis object in a feature list is consistent with least one feature to be searched；Such as
Fruit is consistent, it is determined that the corresponding data slot of the feature list belongs to the sensing data of the destination object；Wherein, each
One or more snippets data slot that feature list is uploaded to sensor database with a sensor is corresponding, in each feature list
Comprising at least one analysis object, each analysis object has one group of characteristic value.Using the above scheme, terminal by searching for number
According to the corresponding feature list of fragment, determine the data slot whether be the destination object needed sensing data, compared to existing
Have in technology by searching for the initial data fragment of sensor record, determine whether the data slot is the destination object needed
Sensing data, since the data volume of feature list is generally much less than the data volume of initial data fragment, can improve search effect
Rate.
Further, in embodiments of the present invention, the analysis object is further included in each feature list in the characteristic series
Time of occurrence and extinction time in the corresponding data slot of table, terminal storage and/or transmission are from the time of occurrence to institute
Data slot between extinction time is stated to user, the relevance of data slot that user obtains and destination object can be made more
By force, so as to improve user experience.
Further, in embodiments of the present invention, if the sensing data of the destination object includes multiple segment data fragment,
After then arranging sequentially in time the multiple segment data fragment, stored and/or sent to user, user can be obtained
Data slot there is more preferable continuity, easy to user carry out finishing analysis, improve user experience.
Brief description of the drawings
Fig. 1 is a kind of flow chart of the sensing data searching method of destination object in the embodiment of the present invention；
Fig. 2 is the partial process view of the sensing data searching method of another destination object in the embodiment of the present invention；
Fig. 3 is a kind of structure diagram of the sensing data searcher of destination object in the embodiment of the present invention.
Embodiment
In existing security and guard technology, generally use monitor camera, door sensor alarm, window magnetic alarm, infrared acquisition
Device etc., the parameter value of warning or storage exception is sent in environmental abnormality.
Specifically, such as monitor camera can passively record the image of current location, door sensor alarm, window magnetic alarm
Abnormal alarm can be sent after being activated, infrared detector can be carried out when detecting the object with specific infrared signature
Alarm.
In the prior art, each sensor is often separate, when the data to multiple sensors are retrieved, usually
Retrieved by specified conditions, such as the people that occurs of passage time, place retrieval or article, and be difficult to by people or article in turn
Retrieval, such as multiple sensing datas are scanned for according to specific destination object.
In the sensing data searching method of existing destination object, often through manually to occurring in audio-video document
People or thing analyzed, accuracy rate is relatively low and inefficiency, or by intelligent recognition algorithm or matching algorithm frame by frame or by
Section searches destination object in audio-video document, calculation amount is larger cause it is less efficient.
The present inventor by research find, in the prior art, search be sensor record initial data
Fragment, data volume is larger, causes during searching frame by frame or paragraph by paragraph, calculation amount is larger, less efficient.
In embodiments of the present invention, at least one feature to be searched of destination object is determined；Feature list is traveled through, is judged every
The characteristic value for whether including at least one analysis object in a feature list is consistent with least one feature to be searched；Such as
Fruit is consistent, it is determined that the corresponding data slot of the feature list belongs to the sensing data of the destination object；Wherein, each
One or more snippets data slot that feature list is uploaded to sensor database with a sensor is corresponding, in each feature list
Comprising at least one analysis object, each analysis object has one group of characteristic value.Using the above scheme, terminal by searching for number
According to the corresponding feature list of fragment, determine the data slot whether be the destination object needed sensing data, compared to existing
Have in technology by searching for the initial data fragment of sensor record, determine whether the data slot is the destination object needed
Sensing data, since the data volume of feature list is generally much less than the data volume of initial data fragment, can improve search effect
Rate.
It is understandable to enable above-mentioned purpose, feature and the beneficial effect of the present invention to become apparent, below in conjunction with the accompanying drawings to this
The specific embodiment of invention is described in detail.
With reference to Fig. 1, Fig. 1 is a kind of flow chart of the sensing data searching method of destination object in the embodiment of the present invention.
The sensing data searching method of the destination object can include step S11 to step S13：
Step S11：Determine at least one feature to be searched of destination object；
Step S12：Feature list is traveled through, judges the spy for whether including at least one analysis object in each feature list
Value indicative is consistent with least one feature to be searched；
Step S13：If consistent, it is determined that the corresponding data slot of the feature list belongs to the biography of the destination object
Sensor data；
Wherein, each feature list is uploaded to one or more snippets data slot pair of sensor database with a sensor
Should, at least one analysis object is included in each feature list, each analysis object has one group of characteristic value.
In the specific implementation of step S11, terminal can determine at least one feature to be searched of destination object, to sensing
It is identified, retrieves in device data, searches destination object.
Specifically, the destination object can be people or article, and the feature to be searched of the destination object can be user
Specify, the information provided according to user is provided, is determined by terminal recognition.
Determining at least one feature to be searched of destination object can include：According to the classification of sensor, the mesh is determined
Mark at least one feature to be searched of object.
Wherein, the classification of the sensor can be optical sensor, audio sensor, infrared ray sensor, smog biography
Sensor etc..
If more specifically, the classification of the sensor is optical sensor, for example, video camera, shooting is first-class, then really
At least one feature to be searched of the fixed destination object can include following one or more：The clothes color of people, the face of people
Portion's feature, the color of article, the texture of article.
It is, for example, recording device etc., it is determined that the destination object if the classification of the sensor is audio sensor
At least one feature to be searched can include it is following one or more：Audio, volume.
If the classification of the sensor is infrared ray sensor, it is determined that the destination object it is at least one to be searched
Feature can include following one or more：Body surface temperature.
If the sensor is the other kinds of sensors such as smoke sensor device, can be true according to specific sensor
Fixed appropriate feature to be searched.
In a kind of concrete application of the embodiment of the present invention, user can be special as identification with nominator or the image of article
Sign.The image can be that history picture either browses the picture intercepted during camera record.User can also be in a certain display
When the video playback of video camera is browsed in equipment, specified directly in picture specific people, human body parts (such as head,
Body etc.), terminal can identify characteristics of human body, using as waiting to search by technologies such as the humanoid detections of artificial intelligence in picture
Suo Tezheng.
More specifically, if user has found people interested when browsing the historical record of a certain video camera on mobile phone
Appear in picture, picture can be suspended, head or the body region of this person are selected in mobile phone upper ledge.
It is possible to further which selection area sectional drawing is uploaded to terminal, sensor is uploaded to according to the video camera by terminal
Original video data in database is analyzed, and obtains feature to be searched.The terminal can be cloud server, car networking
All kinds of servers such as server, Internet of Things server or work station, and computer, intelligent terminal etc..
In specific implementation, the people in selected region can also be automatically analyzed by the mobile phone of user, is examined by artificial intelligence
Survey analysis, extract this person facial characteristics and physical trait (the clothes color of people, the garment of people, people facial characteristics, be
No wear a pair of spectacles cap etc.), as feature to be searched, and then feature to be searched is uploaded to terminal.
Specifically, the feature that user specifies can also be article, and feature to be searched can also be the color of article, article
Texture etc. can know another characteristic by sensor.
It can be original video, picture, the information that can moreover be only correlated characteristic to send to the characteristic information of the terminal
Description, so as to contribute to system optimization and improve resource utilization.
In the specific implementation of step S12, sensing data can be uploaded to sensor database by sensor, such as be divided
One or more snippets data slot transmits.One or more snippets data slot of sensor database is uploaded to for a sensor,
Corresponding feature list is pre-configured with, at least one analysis object, each analysis object tool can be included in each feature list
There is one group of characteristic value.
Specifically, the feature list can be that the terminal-pair such as cloud server data slot carries out artificial intelligence analysis,
Using the people identified or article as analysis object, the characteristic value foundation of object is recorded and analyzed.More specifically, with video counts
Exemplified by, terminal can carry out classification analysis by neutral net to video data, and the personnel occurred in video are special by face
Sign, body macroscopic features, clothes color characteristic etc. are classified, and record and analyze the feature list that the characteristic value of object is established.
Wherein, the analysis object can be people or article, and the characteristic value of each analysis object can include different characteristic
Definitive result.It is understood that the characteristic value of analysis object is more detailed, the description to the analysis object is more clear, described
The data volume of feature list is bigger.
For example, when the classification of sensor is optical sensor, when analysis object is behaved, the characteristic value of the analysis object can be with
Including：Clothes color is " red ", facial characteristics is " without " etc.；When the classification of sensor is optical sensor, object is analyzed
For article when, the characteristic value of the analysis object can include：The color of article is black, the texture of article is smooth etc..
If sensor institute energy can also be expanded to comprising the other sensors in addition to video camera, individual features in system
The individual features of perception.Correspondingly, different characteristic can be also corresponded in database establishes message sense, comprehensive generation people/thing is specific
Mass activity situation report in period.
Further, terminal can travel through feature list, judge whether include at least one point in each feature list
The characteristic value for analysing object is consistent with least one feature to be searched.
Specifically, the traversal feature list can include：According to the position of sensor, the sensor of predeterminated position is traveled through
It is uploaded to the corresponding feature list of data slot of sensor database.
By taking sensor is video camera as an example, locus relevant information, terminal are included in the videograph file of video camera
Corresponding personage can be predicted in the position that special time most probable occurs, preferentially according to the decorating position information of each video camera
Scanned in the corresponding feature list of video data segment that corresponding video camera uploads, if do not searched again from possible
Property low position the corresponding feature list of video data segment that uploads of video camera in scan for.
In a concrete application scene, when a certain personnel are red from there is the region (such as corridor) that video camera covers to enter
During region (such as stair passage) of outer sensor covering, according to the locus of video camera and infrared sensor, terminal can be with
The sensor of traversal near zone is uploaded to the corresponding feature list of data slot of sensor database, to wait to search described in search
Suo Tezheng.
Further, the traversal feature list can include：The data slot for traveling through shooting in preset time is corresponding
Feature list；Alternatively, the corresponding feature list of data slot of sensor database is uploaded in traversal preset time.
By taking sensor is video camera as an example, time related information is included in the videograph file of video camera.For can be with
The situation for being likely to occur the time of destination object is prejudged, terminal can be by regarding in the special time period to all video cameras
The corresponding feature list of frequency fragment is traveled through, to search for the feature to be searched.
Specifically, the characteristic value for judging whether to include in each feature list at least one analysis object with it is described
At least one feature to be searched can unanimously include：If the spy to be searched that the characteristic value of at least one analysis object includes
Sign reaches preset ratio, then is judged as that the characteristic value of at least one analysis object is consistent with the feature to be searched.
In a concrete application scene, destination object is a certain personnel, and the to be searched of the personnel is characterized as：Clothes is red
Color, cotta, facial characteristics are bob, need not, wear glasses.
When the personnel pass through before the first camera, which has removed glasses, therefore first camera is shot
Clothes to the personnel is red, cotta, facial characteristics are bob, need not；And when the personnel pass through before second camera
When, which is not photographed frontal face, therefore the second camera only photographed the clothes of the personnel for it is red,
Cotta, facial characteristics are bob.
Whether include in each feature list is judged it is at least one analysis object characteristic value with it is described at least one
When feature to be searched is consistent, it only in Partial Feature Matching, can also be judged as characteristic value and the institute of at least one analysis object
It is consistent to state feature to be searched.
It is understood that the preset ratio cannot be excessive, otherwise easily missed effectively since Rule of judgment is harsh
Data slot；The preset ratio cannot be too low, otherwise easily determines excessive data slot, causes follow-up analysis data
Measure excessive.Preferably, the preset ratio can be set to be selected from 60% to 100%.
In embodiments of the present invention, by setting preset ratio, and when the characteristic value of at least one analysis object
Including feature to be searched reach preset ratio when, be judged as characteristic value and the feature to be searched of at least one analysis object
Unanimously, can just be judged as unanimously, the biography of destination object being improved to avoid effective data slot is missed compared to complete matching
The validity of sensor data search.
In the specific implementation of step S13, if whether including at least one analysis object in each feature list
Characteristic value is consistent with least one feature to be searched, then terminal can determine the corresponding data slot category of the feature list
In the sensing data of the destination object.
In embodiments of the present invention, terminal determines the data slot by searching for feature list corresponding with data slot
Whether be need destination object sensing data, compared with the prior art in by searching for sensor record initial data
Fragment, determine the data slot whether be need destination object sensing data, since the data volume of feature list is usual
Much smaller than the data volume of initial data fragment, search efficiency can be improved.
With reference to Fig. 2, Fig. 2 is the part stream of the sensing data searching method of another destination object in the embodiment of the present invention
Cheng Tu.
The sensing data searching method of the another kind destination object can include the sensing of the destination object shown in Fig. 1
The step S11 of device data search method to step S13, can also include step S21, or can include step S22 to step
S23, or step S21 to step S23 can be included, each step is illustrated below.
In the step s 21, the sensing data of the destination object is stored and/or sends to user.
Specifically, terminal can collect the data slot for the sensing data for being judged as destination object, storage and/
Or send to user.During collecting, data slot can also be set to number, and establish data slot number table, it is convenient
Management and analysis.
In specific implementation, the analysis object is further included in each feature list in the corresponding data of the feature list
Time of occurrence and extinction time in fragment, described the step of storing and/or sending the sensing data of the destination object
It can include：Storage and/or transmission are from the time of occurrence to the data slot between the extinction time to user.
Specifically, due to analysis object in each data slot can be shorter there are duration, will completely count at this time
It is judged as the sensing data of destination object according to fragment, it is excessive is easy to cause follow-up analysis data volume.
In embodiments of the present invention, by storing and/or sending from the time of occurrence between the extinction time
Data slot can make the relevance of data slot that user obtains and destination object stronger, so as to improve user's body to user
Degree of testing, and the validity that the sensing data for improving destination object judges.
In specific implementation, it is described to store and/or include the step of sending the sensing data of the destination object：
If the sensing data of the destination object includes multiple segment data fragment, to the multiple segment data fragment sequentially in time
After arrangement, stored and/or sent to user.
In embodiments of the present invention, by arranging data slot sequentially in time, the data slice of user's acquisition can be made
Section has more preferable continuity, carries out finishing analysis easy to user, improves user experience.
In step S22, the sensor of every segment data fragment association in the sensing data of the destination object is determined
Induction region.
In step S23, the geographical location of the induction region is sent to user.
In embodiments of the present invention, by determining the induction region of sensor, and its geographical location is sent to user, can
So that user judges the moving position of destination object, so as to form the movement locus figure of destination object, user's body is improved
Degree of testing.It is understood that sensor distribution density is bigger, judge more accurate to the moving position of destination object.
With reference to Fig. 3, Fig. 3 is a kind of structural representation of the sensing data searcher of destination object in the embodiment of the present invention
Figure.The sensing data searcher of the destination object can include：
Characteristic determination module 31 to be searched, is adapted to determine that at least one feature to be searched of destination object；
Judgment module 32, suitable for traveling through feature list, judges whether include at least one analysis in each feature list
The characteristic value of object is consistent with least one feature to be searched, wherein, each feature list is uploaded to a sensor
One or more snippets data slot of sensor database corresponds to, and includes at least one analysis object in each feature list, each
Analysis object has one group of characteristic value；
Target data determining module 33, suitable for when consistent, determining that the corresponding data slot of the feature list belongs to institute
State the sensing data of destination object；
Sending module 34 is stored, suitable for storing and/or sending the sensing data of the destination object to user；
Induction region determining module 35, is adapted to determine that in the sensing data of the destination object per segment data fragment association
Sensor induction region；
Induction region sending module 36, suitable for sending in the geographical location of the induction region to user.
Further, the characteristic determination module to be searched 31 can include：Characteristics determining unit to be searched, suitable for basis
The classification of sensor, determines at least one feature to be searched of the destination object.
The characteristic determination module to be searched 31 can include：First feature determination subelement to be searched, suitable for when described
When the classification of sensor is optical sensor, determine the destination object at least one feature to be searched include with the next item down or
It is multinomial：The clothes color of people, the facial characteristics of people, the color of article, the texture of article；Second feature to be searched determines sub single
Member, suitable for when the classification of the sensor is audio sensor, determining at least one feature to be searched of the destination object
Including following one or more：Audio, volume；3rd feature determination subelement to be searched, suitable for when the classification of the sensor
For infrared ray sensor when, determine the destination object at least one feature to be searched include it is following one or more：Object
Surface temperature.
Further, the judgment module 32 can include：Position Traversal Unit, suitable for the position according to sensor, time
The sensor for going through predeterminated position is uploaded to the corresponding feature list of data slot of sensor database.
The judgment module 32 can include：First time Traversal Unit, suitable for the data shot in traversal preset time
The corresponding feature list of fragment；Alternatively, the second time Traversal Unit, suitable for being uploaded to sensor database in traversal preset time
The corresponding feature list of data slot.
The judgment module 32 can include：Judging unit, suitable for when the characteristic value bag of at least one analysis object
When the feature to be searched included reaches preset ratio, it is judged as the characteristic value of at least one analysis object and the feature one to be searched
Cause.
Further, the preset ratio can be selected from 60% to 100%.
Further, the analysis object is further included in each feature list in the corresponding data slot of the feature list
In time of occurrence and extinction time, it is described storage sending module 34 can include：First storage transmitting element, suitable for storage
And/or send from the time of occurrence to the data slot between the extinction time to user.
The storage sending module 34 can include：Second storage transmitting element, suitable for when the sensing of the destination object
When device data include multiple segment data fragment, after arranging sequentially in time the multiple segment data fragment, stored and/or sent out
Send to user.
Principle, specific implementation and beneficial effect on the sensing data searcher of the destination object refer to above
And the associated description of the sensing data searching method on destination object shown in Fig. 1 to Fig. 2, details are not described herein again.
The embodiment of the present invention additionally provides a kind of storage medium, is stored thereon with computer instruction, the computer instruction
The step of sensing data searching method of the destination object shown in Fig. 1 to Fig. 2 is performed during operation.The storage medium can be
Computer-readable recording medium, such as non-volatility memorizer (non-volatile) or non-transient (non-can be included
Transitory) memory, can also include CD, mechanical hard disk, solid state hard disc etc..
The embodiment of the present invention additionally provides a kind of terminal, including memory and processor, and energy is stored with the memory
Enough computer instructions run on the processor, the processor perform Fig. 1 to Fig. 2 when running the computer instruction and show
The step of sensing data searching method of the destination object gone out.The terminal can be cloud server, car networking server,
All kinds of servers such as Internet of Things server or work station, and computer, intelligent terminal etc..
Although present disclosure is as above, the present invention is not limited to this.Any those skilled in the art, are not departing from this
In the spirit and scope of invention, it can make various changes or modifications, therefore protection scope of the present invention should be with claim institute
Subject to the scope of restriction.
Claims (24)
- A kind of 1. sensing data searching method of destination object, it is characterised in that including：Determine at least one feature to be searched of destination object；Travel through feature list, judge whether to include in each feature list the characteristic value of at least one analysis object with it is described extremely A few feature to be searched is consistent；If consistent, it is determined that the corresponding data slot of the feature list belongs to the sensing data of the destination object；Wherein, each feature list be uploaded to a sensor sensor database one or more snippets data slot it is corresponding, At least one analysis object is included in each feature list, each analysis object has one group of characteristic value.
- 2. the sensing data searching method of destination object according to claim 1, it is characterised in that determine destination object At least one feature to be searched include：According to the classification of sensor, at least one feature to be searched of the destination object is determined.
- 3. the sensing data searching method of destination object according to claim 2, it is characterised in that described according to sensing The classification of device, determining at least one feature to be searched of the destination object includes：If the classification of the sensor is optical sensor, it is determined that at least one feature bag to be searched of the destination object Include following one or more：The clothes color of people, the facial characteristics of people, the color of article, the texture of article；If the classification of the sensor is audio sensor, it is determined that at least one feature bag to be searched of the destination object Include following one or more：Audio, volume；If the classification of the sensor is infrared ray sensor, it is determined that at least one feature to be searched of the destination object Including following one or more：Body surface temperature.
- 4. the sensing data searching method of destination object according to claim 1, it is characterised in that the traversal feature List includes：According to the position of sensor, the sensor for traveling through predeterminated position is uploaded to the corresponding spy of data slot of sensor database Levy list.
- 5. the sensing data searching method of destination object according to claim 1, it is characterised in that the traversal feature List includes：Travel through the corresponding feature list of data slot of shooting in preset time；Alternatively, the corresponding feature list of data slot of sensor database is uploaded in traversal preset time.
- 6. the sensing data searching method of destination object according to claim 1, it is characterised in that described to judge each Whether include in feature list it is at least one analysis object characteristic value it is consistent with least one feature to be searched including：If the feature to be searched that the characteristic value of at least one analysis object includes reaches preset ratio, it is judged as at least The characteristic value of one analysis object is consistent with the feature to be searched.
- 7. the sensing data searching method of destination object according to claim 6, it is characterised in that the preset ratio Selected from 60% to 100%.
- 8. the sensing data searching method of destination object according to claim 1, it is characterised in that further include：The sensing data of the destination object is stored and/or sent to user.
- 9. the sensing data searching method of destination object according to claim 8, it is characterised in that each feature list In further include the time of occurrence and extinction time of the analysis object in the corresponding data slot of the feature list, it is described Storing and/or send the sensing data of the destination object includes：Storage and/or transmission are from the time of occurrence to the data slot between the extinction time to user.
- 10. the sensing data searching method of destination object according to claim 8, it is characterised in that it is described storage and/ Or the sensing data of the transmission destination object includes：If the sensing data of the destination object includes multiple segment data fragment, to the multiple segment data fragment according to the time After order arranges, stored and/or sent to user.
- 11. the sensing data searching method of destination object according to claim 8, it is characterised in that further include：Determine the induction region of the sensor in the sensing data of the destination object per segment data fragment association；The geographical location of the induction region is sent to user.
- A kind of 12. sensing data searcher of destination object, it is characterised in that including：Characteristic determination module to be searched, is adapted to determine that at least one feature to be searched of destination object；Judgment module, suitable for traveling through feature list, judges whether include at least one analysis object in each feature list Characteristic value is consistent with least one feature to be searched；Target data determining module, suitable for when consistent, determining that the corresponding data slot of the feature list belongs to the target The sensing data of object；Wherein, each feature list be uploaded to a sensor sensor database one or more snippets data slot it is corresponding, At least one analysis object is included in each feature list, each analysis object has one group of characteristic value.
- 13. the sensing data searcher of destination object according to claim 12, it is characterised in that described to be searched Characteristic determination module includes：Characteristics determining unit to be searched, suitable for the classification according to sensor, determines at least one to be searched of the destination object Feature.
- 14. the sensing data searcher of destination object according to claim 13, it is characterised in that described to be searched Characteristics determining unit includes：First feature determination subelement to be searched, suitable for when the classification of the sensor is optical sensor, determining the mesh At least one feature to be searched of object is marked including following one or more：The clothes color of people, the facial characteristics of people, article The texture of color, article；Second feature determination subelement to be searched, suitable for when the classification of the sensor is audio sensor, determining the mesh At least one feature to be searched of object is marked including following one or more：Audio, volume；3rd feature determination subelement to be searched, it is described suitable for when the classification of the sensor is infrared ray sensor, determining At least one feature to be searched of destination object includes following one or more：Body surface temperature.
- 15. the sensing data searcher of destination object according to claim 12, it is characterised in that the judgement mould Block includes：Position Traversal Unit, suitable for the position according to sensor, the sensor for traveling through predeterminated position is uploaded to sensor database The corresponding feature list of data slot.
- 16. the sensing data searcher of destination object according to claim 12, it is characterised in that the judgement mould Block includes：First time Traversal Unit, suitable for the corresponding feature list of data slot shot in traversal preset time；Alternatively, the second time Traversal Unit, corresponds to suitable for being uploaded to the data slot of sensor database in traversal preset time Feature list.
- 17. the sensing data searcher of destination object according to claim 12, it is characterised in that judgment module bag Include：Judging unit, the feature to be searched suitable for including when the characteristic value of at least one analysis object reach preset ratio When, it is judged as that the characteristic value of at least one analysis object is consistent with the feature to be searched.
- 18. the sensing data searcher of destination object according to claim 17, it is characterised in that the default ratio Example is selected from 60% to 100%.
- 19. the sensing data searcher of destination object according to claim 12, it is characterised in that further include：Sending module is stored, suitable for storing and/or sending the sensing data of the destination object to user.
- 20. the sensing data searcher of destination object according to claim 19, it is characterised in that each characteristic series Time of occurrence and extinction time of the analysis object in the corresponding data slot of the feature list, institute are further included in table Stating storage sending module includes：First storage transmitting element, suitable for storing and/or sending from the time of occurrence to the data between the extinction time Fragment is to user.
- 21. the sensing data searcher of destination object according to claim 19, it is characterised in that the storage hair Module is sent to include：Second storage transmitting element, suitable for when the sensing data of the destination object includes multiple segment data fragment, to described After multiple segment data fragment arranges sequentially in time, stored and/or sent to user.
- 22. the sensing data searcher of destination object according to claim 19, it is characterised in that further include：Induction region determining module, is adapted to determine that in the sensing data of the destination object per the sensing of segment data fragment association The induction region of device；Induction region sending module, suitable for sending in the geographical location of the induction region to user.
- 23. a kind of storage medium, is stored thereon with computer instruction, it is characterised in that is performed during the computer instruction operation The step of sensing data searching method of any one of claim 1 to 11 destination object.
- 24. a kind of terminal, including memory and processor, it is stored with what can be run on the processor on the memory Computer instruction, it is characterised in that any one of perform claim requirement 1 to 11 institute when the processor runs the computer instruction The step of stating the sensing data searching method of destination object.
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Application publication date: 20180511 |