CN111625686A

CN111625686A - Data processing method and device, electronic equipment and storage medium

Info

Publication number: CN111625686A
Application number: CN202010431280.7A
Authority: CN
Inventors: 李晓通; 王建军; 曹安; 高慧璇; 黄潇莹
Original assignee: Shenzhen Sensetime Technology Co Ltd
Current assignee: Shenzhen Sensetime Technology Co Ltd
Priority date: 2020-05-20
Filing date: 2020-05-20
Publication date: 2020-09-04

Abstract

The present disclosure relates to a data processing method and apparatus, an electronic device, and a storage medium, the method including: creating a target tactical mission, wherein the target tactical mission comprises a data analysis condition and a data statistic dimension; according to the data analysis conditions, carrying out data analysis on a plurality of portrait files in a portrait file library to obtain data analysis results corresponding to the target technical and tactical tasks, wherein the data analysis results comprise a plurality of target persons and target portrait files corresponding to the target persons; and aiming at least one target person in the plurality of target persons, performing data statistics on the portrait snapshot images related to the data analysis and included in the target portrait archive corresponding to the at least one target person according to the data statistics dimension to obtain a data statistics result. The embodiment of the disclosure can avoid the data of the data analysis result and the data statistical result from being inconsistent due to the update of the portrait archive.

Description

Data processing method and device, electronic equipment and storage medium

Technical Field

The present disclosure relates to the field of computer technologies, and in particular, to a data processing method and apparatus, an electronic device, and a storage medium.

Background

With the continuous development of society, modern cases have the characteristics of quick response, quick flow, wide range and the like. In the face of the challenge under new conditions, the public security department puts higher requirements on video investigation and case handling. In order to further improve the informatization level of public security and exert high-tech advantages, a data processing method effectively applied to video investigation and case handling is urgently needed.

Disclosure of Invention

The disclosure provides a data processing method and device, electronic equipment and a storage medium technical scheme.

According to an aspect of the present disclosure, there is provided a data processing method including: creating a target tactical mission, wherein the target tactical mission comprises a data analysis condition and a data statistic dimension; according to the data analysis conditions, carrying out data analysis on a plurality of portrait archives in a portrait archive library to obtain data analysis results corresponding to the target technical and tactical mission, wherein the data analysis results comprise a plurality of target persons and target portrait archives corresponding to the target persons; and aiming at least one target person in the target persons, performing data statistics on the portrait snapshot related to the data analysis in the target portrait archive corresponding to the at least one target person according to the data statistics dimension to obtain a data statistics result.

In one possible implementation, the data analysis conditions include at least one spatio-temporal scope, wherein the spatio-temporal scope includes a time period and a location.

In one possible implementation, the target tactical mission is a tactical mission that focuses on the occurrence frequency of a target person; the data statistics dimensions include: the number of times the target person appears per day within the target spatiotemporal range.

In one possible implementation, the target tactical mission comprises at least one of: frequently filtering the technical and tactical missions and filtering the technical and tactical data by the space-time file.

In a possible implementation manner, the performing, for at least one target person of the plurality of target persons, data statistics on a portrait snapshot included in a target portrait archive corresponding to the at least one target person and related to the data analysis according to the data statistics dimension to obtain a data statistics result includes: and aiming at least one target person in the target persons, carrying out data statistics on the portrait snapshot images which are included in the target portrait archive corresponding to the at least one target person and are related to the data analysis, and obtaining the number of times of the at least one target person appearing in the target space-time range every day.

In one possible implementation, the target tactical mission is a tactical mission that focuses on the number of days that a target person appears; the data statistics dimension includes at least one of: the number of days that the target person appears in the target space-time range, the number of days that the target person disappears in the target space-time range, and the number of days that the target person appears in the target space-time range and the number of days that the target person disappears.

In one possible implementation, the target tactical mission comprises at least one of: the first occurrence of the technical and tactical mission, the perception of leaving the technical and tactical mission, the continuous occurrence of the technical and tactical mission and the day and night technical and tactical mission.

In a possible implementation manner, the performing, for at least one target person of the plurality of target persons, data statistics on a portrait snapshot included in a target portrait archive corresponding to the at least one target person and related to the data analysis according to the data statistics dimension to obtain a data statistics result includes: and aiming at least one target person in the plurality of target persons, carrying out data statistics on the portrait snapshot picture related to the data analysis and included in the target portrait archive corresponding to the at least one target person to obtain the number of days of appearance and/or the number of days of disappearance of the at least one target person in the target space-time range.

In one possible implementation, the target tactical mission comprises a space-time collision tactical mission; the data statistics dimensions include: the target persons are respectively present in a plurality of target space-time ranges.

In a possible implementation manner, the performing, for at least one target person of the plurality of target persons, data statistics on a portrait snapshot included in a target portrait archive corresponding to the at least one target person and related to the data analysis according to the data statistics dimension to obtain a data statistics result includes: and aiming at least one target person in the target persons, performing data statistics on the portrait snapshot images related to the data analysis and included in the target portrait archive corresponding to the target person according to the data statistics dimension, and determining the situations of the target person in a plurality of target space-time ranges.

In one possible implementation, the target tactical mission comprises a peer analytic tactical mission; the data statistics dimensions include: the target person is present simultaneously with the other persons within the target space-time range.

In a possible implementation manner, the performing, for at least one target person of the plurality of target persons, data statistics on a portrait snapshot included in a target portrait archive corresponding to the at least one target person and related to the data analysis according to the data statistics dimension to obtain a data statistics result includes: and aiming at least one target person in the plurality of target persons, carrying out data statistics on the portrait snapshot related to the data analysis and included in the target portrait archive corresponding to the at least one target person according to the data statistics dimension, and determining the situation that the at least one target person and other target persons are simultaneously in the target space-time range.

In one possible implementation, the method further includes: carrying out face clustering on a plurality of portrait snapshots acquired from a plurality of video sources to obtain a first clustering result, wherein the plurality of video sources comprise a plurality of portrait snapshots acquired at different times and different places; and determining a plurality of portrait archives in the portrait archive library according to the first clustering result.

In a possible implementation manner, the first clustering result includes a plurality of portrait snapshot sets; determining a plurality of portrait archives in the portrait archive according to the first clustering result, including: and determining any one portrait snapshot map set in the plurality of portrait snapshot map sets as a portrait archive to obtain the plurality of portrait archives, wherein different portrait snapshot map sets correspond to different portrait archives.

In one possible implementation manner, determining a plurality of portrait archives in the portrait archive according to the first clustering result includes: clustering the first clustering result again according to a first portrait library to obtain a second clustering result, wherein the first portrait library comprises characteristic face images of a plurality of persons with determined identities, and the second clustering result comprises a plurality of portrait snapshot image sets; and determining any one portrait snapshot map set in the plurality of portrait snapshot map sets as a portrait archive to obtain the plurality of portrait archives, wherein different portrait snapshot map sets correspond to different portrait archives.

In a possible implementation manner, the target portrait archive corresponding to each target person comprises portrait snapshot pictures corresponding to the target person at different time and different places; the method further comprises the following steps: and aiming at any target person, determining behavior track information of the target person according to a figure snapshot picture corresponding to the target person at different time and different places in a target figure file corresponding to the target person.

According to an aspect of the present disclosure, there is provided a data processing apparatus including: the task creating module is used for creating a target tactical task, wherein the target tactical task comprises a data analysis condition and a data statistics dimension; the data analysis module is used for carrying out data analysis on a plurality of portrait files in a portrait file library according to the data analysis conditions to obtain data analysis results corresponding to the target technical and tactical mission, wherein the data analysis results comprise a plurality of target persons and target portrait files corresponding to the target persons; and the data statistics module is used for carrying out data statistics on the portrait snapshot picture related to the data analysis in the target portrait archive corresponding to at least one target person according to the data statistics dimension aiming at least one target person in the plurality of target persons to obtain a data statistics result.

According to an aspect of the present disclosure, there is provided an electronic device including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to invoke the memory-stored instructions to perform the above-described method.

According to an aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the above-described method.

In the disclosed embodiment, a target tactical mission is created that includes data analysis conditions and data statistics dimensions, performing data analysis on a plurality of portrait files in the portrait file library according to the data analysis conditions to obtain data analysis results corresponding to the target tactical mission, because the data analysis result comprises a plurality of target persons and target person image files corresponding to the target persons, aiming at least one target person in the target persons, the data statistics can be carried out on the portrait snapshot images related to the data analysis in the target portrait archive corresponding to at least one target person according to the data statistics dimension to obtain the data statistics result, and the portrait snapshot images are not required to be called from the portrait archive for data statistics, therefore, the data of the data analysis result and the data statistical result are not self-consistent due to the updating of the portrait archive.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the disclosure.

FIG. 1 shows a flow diagram of a data processing method according to an embodiment of the present disclosure;

FIG. 2 illustrates a schematic diagram of creating a target tactical mission according to an embodiment of the present disclosure;

FIG. 3 is a schematic diagram illustrating data analysis results corresponding to a target tactical mission according to an embodiment of the present disclosure;

FIG. 4 shows a schematic diagram of data statistics for any target person, according to an embodiment of the present disclosure;

FIG. 5 shows a block diagram of a data processing apparatus according to an embodiment of the present disclosure;

FIG. 6 shows a block diagram of an electronic device in accordance with an embodiment of the disclosure;

fig. 7 shows a block diagram of an electronic device in accordance with an embodiment of the disclosure.

Detailed Description

Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.

The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the term "at least one" herein means any one of a plurality or any combination of at least two of a plurality, for example, including at least one of A, B, C, and may mean including any one or more elements selected from the group consisting of A, B and C.

Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present disclosure.

Fig. 1 shows a flow diagram of a data processing method according to an embodiment of the present disclosure. The data processing method shown in fig. 1 may be performed by a terminal device or other processing device, wherein the terminal device may be a User Equipment (UE), a mobile device, a User terminal, a cellular phone, a cordless phone, a Personal Digital Assistant (PDA), a handheld device, a computing device, a vehicle-mounted device, a wearable device, or the like. The other processing devices may be servers or cloud servers, etc. In some possible implementations, the data processing method may be implemented by a processor calling computer readable instructions stored in a memory. In some possible implementation manners, the data processing method can be applied to application scenes such as intelligent video analysis and security monitoring. As shown in fig. 1, the method may include:

in step S11, a target tactical mission is created, wherein the target tactical mission includes data analysis conditions and data statistics dimensions.

In step S12, according to the data analysis conditions, data analysis is performed on the plurality of portrait files in the portrait file library to obtain data analysis results corresponding to the target tactical mission, where the data analysis results include a plurality of target persons and target portrait files corresponding to the plurality of target persons.

In step S13, for at least one target person among the plurality of target persons, data statistics is performed on the portrait snapshot related to the data analysis included in the target portrait archive corresponding to the at least one target person according to the data statistics dimension, so as to obtain a data statistics result.

After a target technical and tactical task comprising a data analysis condition and a data statistics dimension is created, data analysis is carried out on a plurality of portrait archives in a portrait archive library according to the data analysis condition, a plurality of target persons involved in the data analysis process and target portrait archives corresponding to the target persons are recorded as data analysis results, so that for at least one target person in the target persons, data statistics can be carried out on a portrait snapshot picture related to the data analysis and included in the target portrait archive corresponding to the at least one target person according to the data statistics dimension, a data statistics result is obtained, the portrait snapshot picture does not need to be taken from the portrait archive library for data statistics, and data of the data analysis result and the data statistics result are prevented from being consistent due to real-time updating of the portrait archive library.

The technical and tactical method is applied to actual combat in investigation and solution solving, comprehensively utilizes methods such as human face characteristics, trajectory tracking, case correlation and the like, and gradually explores and establishes a 'person-to-person and person-to-case' investigation mode. Different types of tactics may be created based on different handling requirements. Before carrying out technical and tactical data analysis, a person-to-person and file-to-file portrait archive is required to be constructed.

The plurality of video sources may be video streams acquired by an image acquisition device (e.g., a camera) disposed in a preset geographic area within a preset time range, and the video streams may include a portrait capture image of a person appearing in the preset geographic area within the preset time range, wherein the portrait capture image includes time information and location information. The method comprises the steps that a plurality of portrait snap-shot images acquired from a plurality of video sources are added into a second portrait base, then the plurality of portrait snap-shot images in the second portrait base are subjected to feature extraction, then face clustering is carried out according to the extracted features, a first clustering result is obtained, and then a portrait archive can be generated according to the first clustering result.

In a possible implementation manner, the first clustering result includes a plurality of portrait snapshot image sets; determining a plurality of portrait archives in the portrait archive according to the first clustering result, comprising: and determining any one portrait snapshot map set in the plurality of portrait snapshot map sets as a portrait file to obtain a plurality of portrait files, wherein different portrait snapshot map sets correspond to different portrait files.

And each portrait snapshot atlas in the first clustering result is directly determined as a portrait archive of a person, so that a portrait archive library can be quickly constructed.

In one possible implementation, determining a plurality of portrait archives in the portrait archive according to the first clustering result includes: clustering the first clustering result again according to the first portrait base to obtain a second clustering result, wherein the first portrait base comprises characteristic face images of a plurality of persons with determined identities, and the second clustering result comprises a plurality of portrait snapshot image sets; and determining any one portrait snapshot map set in the plurality of portrait snapshot map sets as a portrait file to obtain a plurality of portrait files, wherein different portrait snapshot map sets correspond to different portrait files.

Due to the fact that the situation that the portrait snapshot is low in definition, the snapshot angle is a side face and the like exists, the characteristic extraction is conducted on the plurality of portrait snapshots in the second portrait base, and when the face clustering is conducted according to the extracted characteristic, the portrait snapshots of the same person can be clustered into two different portrait snapshot sets possibly, and therefore the first clustering result is inaccurate. In order to obtain a more accurate clustering result, the characteristic face images of a plurality of persons with determined identities in the first person image library are utilized to perform clustering again on the first clustering result to obtain a second clustering result with more accurate clustering, and then each person snapshot image set in the second clustering result is determined as a person image file of one person, so that the construction of the person image file library is realized.

After a plurality of portrait archives in the portrait archive are obtained through clustering, a new face snapshot acquired from a video source is not required to be clustered in a whole library again, and only the new face snapshot is required to be subjected to feature matching with each portrait archive in the portrait archive so as to determine the portrait archive in which the new face snapshot is required to be positioned. That is, the face archive is in a state of being continuously updated because a new face snapshot is continuously acquired from the video source.

The data analysis condition is a basis for performing data analysis on a plurality of portrait archives in the portrait archive, and the data analysis condition is determined based on case requirements and may include other information besides at least one space-time range, which is not specifically limited by the present disclosure.

After the portrait archive is constructed, in practical application, a target technical and tactical task can be created based on case handling requirements. FIG. 2 illustrates a schematic diagram of creating a target tactical mission according to an embodiment of the present disclosure. As shown in FIG. 2, when a related case scenario needs to be conducted, a user can create a target tactical mission and configure mission parameters. The task parameters may include data analysis conditions, such as case names, at least one spatio-temporal scope (time period, location), and the like.

And performing data analysis on the plurality of portrait files in the portrait archive library according to the data analysis conditions in the target tactical mission to obtain data analysis results corresponding to the target tactical mission, wherein the data analysis results are, for example, a plurality of persons and target portrait files corresponding to the plurality of persons in the target space-time range. Because the portrait archive is in a state of being updated continuously, in order to avoid the influence on the data analysis caused by the updating of the follow-up portrait archive, a plurality of target persons obtained by the data analysis and target portrait archives corresponding to the target persons in the data analysis process are recorded as data analysis results. When subsequently evaluating or counting the data analysis result, the portrait snapshot image does not need to be taken from the portrait archive for data counting, so that the situation that the data of the data analysis result is not consistent before and after due to the updating of the portrait archive can be avoided.

Fig. 3 is a schematic diagram illustrating a data analysis result corresponding to a target tactical mission according to an embodiment of the present disclosure. For the data analysis conditions (at least one space-time range in which people frequently pass through detection needs) of the target tactical mission (people frequently pass through), data analysis is performed on a plurality of portrait archives in the portrait archive library to obtain the data analysis result corresponding to the target tactical mission as shown in fig. 3. As shown in fig. 3, the data analysis result display page includes portrait images of a plurality of target people obtained by the data analysis, where the portrait images of the plurality of target people are portrait images captured in at least one space-time range in which people frequently pass through detection.

In order to further verify the accuracy of a plurality of target persons obtained from the data analysis result and further study and judge cases, at least one target person obtained from the data analysis result can perform data statistics on the portrait snap-shot image related to the data analysis and included in the target portrait file corresponding to the target person according to the data statistics dimension included in the target tactical mission, so as to obtain the data statistics result. The data statistics dimension is a basis for performing data statistics on the data analysis result, and the data statistics dimension is related to the target tactical mission.

In one possible implementation, the target tactical mission is a tactical mission that focuses on the frequency of occurrence of the target person; the data statistics dimensions include: the number of times the target person appears per day within the target spatiotemporal range.

In one possible implementation, the target tactical mission comprises at least one of: frequently filtering the human and technical tactical mission and filtering the human and technical tactical mission by the space-time file.

The target tactical mission may include, in addition to the above-mentioned tactical mission, other tactical missions that concern the occurrence frequency of the target person, and the present disclosure is not particularly limited thereto.

In a possible implementation manner, for at least one target person among a plurality of target persons, according to a data statistics dimension, performing data statistics on a portrait snapshot included in a target portrait archive corresponding to the at least one target person and related to the data analysis to obtain a data statistics result, including: and aiming at least one target person in the plurality of target persons, carrying out data statistics on the figure snapshot image which is included in the target figure file corresponding to the at least one target person and is related to the data analysis, and obtaining the frequency of the at least one target person appearing in the target space-time range every day.

By counting the times of the target personnel appearing in the target space-time range every day, the possibility of stepping on, squatting or crime of the personnel can be determined, so that further research and judgment basis can be provided for criminal investigation case handling, the case situation can be conveniently analyzed by police, and the case handling efficiency is effectively improved.

Still taking the above fig. 3 as an example, as shown in fig. 3, for a target person in a data analysis result display page, the "file detail" control may be clicked to view the portrait snapshot in the portrait archive corresponding to the target person (the portrait snapshot in the portrait archive corresponding to the target person obtained from the portrait archive in real time, or the portrait snapshot in the target portrait archive corresponding to the target person recorded in the data analysis result), or the "result detail" control may be clicked to perform data statistics on the portrait snapshot related to the data analysis of this time included in the target portrait archive corresponding to the target person, so as to obtain a data statistics result. FIG. 4 shows a schematic diagram of data statistics for any target person, according to an embodiment of the present disclosure. As shown in fig. 4, a data statistical result (a portrait snapshot that appears every day in the target space-time range of the target person) can be obtained by performing data statistics on a portrait snapshot included in a target portrait archive corresponding to a target person in the data analysis result of the target tactical mission (spatio-temporal archive filtering) and related to the data analysis, and the data statistical result can be displayed.

The target tactical mission may include, in addition to the above-mentioned tactical mission, other tactical missions concerning the number of days that the target person appears, and the present disclosure is not particularly limited thereto.

In a possible implementation manner, for at least one target person among a plurality of target persons, according to a data statistics dimension, performing data statistics on a portrait snapshot included in a target portrait archive corresponding to the at least one target person and related to the data analysis to obtain a data statistics result, including: and aiming at least one target person in the plurality of target persons, performing data statistics on the portrait snapshot picture related to the data analysis and included in the target portrait archive corresponding to the at least one target person to obtain the number of days appearing and/or the number of days disappearing of the at least one target person in the target space-time range.

Through counting the number of days appearing and/or disappearing in the target space-time range of the target personnel, the activity rules of the target personnel can be determined, so that a further research and judgment basis can be provided for the track tracking of suspects in criminal investigation case handling, and the case handling efficiency is effectively improved.

In a possible implementation manner, for at least one target person among a plurality of target persons, according to a data statistics dimension, performing data statistics on a portrait snapshot included in a target portrait archive corresponding to the at least one target person and related to the data analysis to obtain a data statistics result, including: and aiming at least one target person in the target persons, performing data statistics on the portrait snapshot images related to the data analysis and included in the target portrait archive corresponding to the target person according to the data statistics dimension, and determining the situations of the target person in a plurality of target space-time ranges.

By counting the occurrence conditions of target personnel in a plurality of target space-time ranges respectively, the situation that the personnel appear at places related to case situations can be determined, so that further research and judgment basis can be provided for criminal investigation case handling, the case situations can be analyzed conveniently by police, and the case handling efficiency is effectively improved.

In a possible implementation manner, for at least one target person among a plurality of target persons, according to a data statistics dimension, performing data statistics on a portrait snapshot included in a target portrait archive corresponding to the at least one target person and related to the data analysis to obtain a data statistics result, including: and aiming at least one target person in the plurality of target persons, performing data statistics on the portrait snapshot images related to the data analysis and included in the target portrait archive corresponding to the at least one target person according to the data statistics dimension, and determining the situation that the at least one target person and other target persons are simultaneously in the target space-time range.

By counting the simultaneous occurrence of the target personnel and other target personnel in the target space-time range, whether trailing condition exists or whether a crime conspires exists can be determined, so that further research and judgment basis can be provided for criminal investigation case handling, case analysis by police is facilitated, and case handling efficiency is effectively improved.

In a possible implementation manner, according to the data statistics dimension included in the target technical and tactical mission, the portrait snapshot related to the data analysis included in the target portrait archive corresponding to at least one target person is subjected to data statistics, and after a data statistics result is obtained, the data statistics result can be displayed.

Through the display of the data statistical result, the analysis logic and the basis of the data analysis process can be displayed to the user, so that the user can effectively evaluate the accuracy of the data analysis and the basis of the data analysis. In addition, the activity rule of the target person can be further analyzed according to the data analysis result and/or the data statistical result.

In a possible implementation manner, the target portrait archive corresponding to each target person comprises portrait snapshot pictures corresponding to the target person at different time and different places; the method further comprises the following steps: and aiming at any target person, determining behavior track information of the target person according to the figure snapshot pictures corresponding to the target person at different time and different places in the target figure file corresponding to the target person.

For any target person in the data analysis result, because the target person included in the target person image file corresponding to the target person snap-shots corresponding to different positions at different times, the behavior track information of the target person in the target technical and tactical mission can be determined, and a reliable basis is provided for case investigation.

In addition, because the portrait archive is in a continuously updated state, for any target person in the data analysis result, the behavior track information of the target person can be determined according to the portrait snapshot images corresponding to different time and different place points in the portrait archive corresponding to the target person in the portrait archive, and then the tracking and positioning of the target person can be realized according to the behavior track information of the target person.

It is understood that the above-mentioned method embodiments of the present disclosure can be combined with each other to form a combined embodiment without departing from the logic of the principle, which is limited by the space, and the detailed description of the present disclosure is omitted. Those skilled in the art will appreciate that in the above methods of the specific embodiments, the specific order of execution of the steps should be determined by their function and possibly their inherent logic.

In addition, the present disclosure also provides a data processing apparatus, an electronic device, a computer-readable storage medium, and a program, which can be used to implement any data processing method provided by the present disclosure, and the corresponding technical solutions and descriptions and corresponding descriptions in the method section are not repeated.

Fig. 5 shows a block diagram of a data processing apparatus according to an embodiment of the present disclosure. As shown in fig. 5, the apparatus 50 includes:

the task creating module 51 is configured to create a target tactical task, where the target tactical task includes a data analysis condition and a data statistics dimension;

the data analysis module 52 is configured to perform data analysis on a plurality of portrait files in the portrait file library according to the data analysis conditions to obtain data analysis results corresponding to the target technical and tactical mission, where the data analysis results include a plurality of target persons and target portrait files corresponding to the plurality of target persons;

and the data statistics module 53 is configured to perform data statistics on the portrait snapshot related to the data analysis in the target portrait archive corresponding to at least one target person according to the data statistics dimension, so as to obtain a data statistics result, for at least one target person in the plurality of target persons.

In one possible implementation, the data statistics module 53 is configured to:

and aiming at least one target person in the plurality of target persons, carrying out data statistics on the figure snapshot image which is included in the target figure file corresponding to the at least one target person and is related to the data analysis, and obtaining the frequency of the at least one target person appearing in the target space-time range every day.

In one possible implementation, the data statistics module 53 is configured to:

and aiming at least one target person in the plurality of target persons, performing data statistics on the portrait snapshot picture related to the data analysis and included in the target portrait archive corresponding to the at least one target person to obtain the number of days appearing and/or the number of days disappearing of the at least one target person in the target space-time range.

In one possible implementation, the data statistics module 53 is configured to:

and aiming at least one target person in the target persons, performing data statistics on the portrait snapshot images related to the data analysis and included in the target portrait archive corresponding to the target person according to the data statistics dimension, and determining the situations of the target person in a plurality of target space-time ranges.

In one possible implementation, the data statistics module 53 is configured to:

and aiming at least one target person in the plurality of target persons, performing data statistics on the portrait snapshot images related to the data analysis and included in the target portrait archive corresponding to the at least one target person according to the data statistics dimension, and determining the situation that the at least one target person and other target persons are simultaneously in the target space-time range.

In one possible implementation, the apparatus 50 further includes:

the system comprises a clustering module, a first clustering module and a second clustering module, wherein the clustering module is used for carrying out face clustering on a plurality of portrait snapshots acquired from a plurality of video sources to obtain a first clustering result, and the video sources comprise a plurality of portrait snapshots acquired at different time and different places;

and the first determining module is used for determining a plurality of portrait archives in the portrait archive library according to the first clustering result.

In a possible implementation manner, the first clustering result includes a plurality of portrait snapshot image sets;

the first determining module is to:

and determining any one portrait snapshot map set in the plurality of portrait snapshot map sets as a portrait file to obtain a plurality of portrait files, wherein different portrait snapshot map sets correspond to different portrait files.

In one possible implementation, the first determining module includes:

the clustering submodule is used for clustering the first clustering result again according to the first portrait base to obtain a second clustering result, wherein the first portrait base comprises characteristic face images of a plurality of persons with determined identities, and the second clustering result comprises a plurality of portrait snapshot image sets;

and the determining submodule is used for determining any one portrait snapshot image set in the plurality of portrait snapshot image sets into one portrait file to obtain a plurality of portrait files, wherein different portrait snapshot image sets correspond to different portrait files.

In a possible implementation manner, the target portrait archive corresponding to each target person comprises portrait snapshot pictures corresponding to the target person at different time and different places;

the apparatus 50 further comprises:

and the second determining module is used for determining the behavior track information of the target person according to the figure snapshot pictures corresponding to the target person at different time and different places in the target figure file corresponding to the target person aiming at any target person.

In some embodiments, functions of or modules included in the apparatus provided in the embodiments of the present disclosure may be used to execute the method described in the above method embodiments, and specific implementation thereof may refer to the description of the above method embodiments, and for brevity, will not be described again here.

Embodiments of the present disclosure also provide a computer-readable storage medium having stored thereon computer program instructions, which when executed by a processor, implement the above-mentioned method. The computer readable storage medium may be a non-volatile computer readable storage medium.

An embodiment of the present disclosure further provides an electronic device, including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to invoke the memory-stored instructions to perform the above-described method.

The disclosed embodiments also provide a computer program product comprising computer readable code which, when run on a device, a processor in the device executes instructions for implementing the data method provided in any of the above embodiments.

The embodiments of the present disclosure also provide another computer program product for storing computer readable instructions, which when executed cause a computer to perform the operations of the data processing method provided in any of the above embodiments.

The electronic device may be provided as a terminal, server, or other form of device.

Fig. 6 illustrates a block diagram of an electronic device in accordance with an embodiment of the disclosure. As shown in fig. 6, the electronic device 800 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, or the like terminal.

Referring to fig. 6, electronic device 800 may include one or more of the following components: processing component 802, memory 804, power component 806, multimedia component 808, audio component 810, input/output (I/O) interface 812, sensor component 814, and communication component 816.

The processing component 802 generally controls overall operation of the electronic device 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 802 may include one or more processors 820 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 802 can include one or more modules that facilitate interaction between the processing component 802 and other components. For example, the processing component 802 can include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.

The memory 804 is configured to store various types of data to support operations at the electronic device 800. Examples of such data include instructions for any application or method operating on the electronic device 800, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 804 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

The power supply component 806 provides power to the various components of the electronic device 800. The power components 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the electronic device 800.

The multimedia component 808 includes a screen that provides an output interface between the electronic device 800 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the electronic device 800 is in an operation mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a Microphone (MIC) configured to receive external audio signals when the electronic device 800 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 804 or transmitted via the communication component 816. In some embodiments, audio component 810 also includes a speaker for outputting audio signals.

The I/O interface 812 provides an interface between the processing component 802 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.

The sensor assembly 814 includes one or more sensors for providing various aspects of state assessment for the electronic device 800. For example, the sensor assembly 814 may detect an open/closed state of the electronic device 800, the relative positioning of components, such as a display and keypad of the electronic device 800, the sensor assembly 814 may also detect a change in the position of the electronic device 800 or a component of the electronic device 800, the presence or absence of user contact with the electronic device 800, orientation or acceleration/deceleration of the electronic device 800, and a change in the temperature of the electronic device 800. Sensor assembly 814 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 816 is configured to facilitate wired or wireless communication between the electronic device 800 and other devices. The electronic device 800 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 816 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the electronic device 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.

In an exemplary embodiment, a non-transitory computer-readable storage medium, such as the memory 804, is also provided that includes computer program instructions executable by the processor 820 of the electronic device 800 to perform the above-described methods.

Fig. 7 shows a block diagram of an electronic device in accordance with an embodiment of the disclosure. As shown in fig. 7, the electronic device 1900 may be provided as a server. Referring to fig. 7, electronic device 1900 includes a processing component 1922 further including one or more processors and memory resources, represented by memory 1932, for storing instructions, e.g., applications, executable by processing component 1922. The application programs stored in memory 1932 may include one or more modules that each correspond to a set of instructions. Further, the processing component 1922 is configured to execute instructions to perform the above-described method.

The electronic device 1900 may also include a power component 1926 configured to perform power management of the electronic device 1900, a wired or wireless network interface 1950 configured to connect the electronic device 1900 to a network, and an input/output (I/O) interface 1958. The electronic device 1900 may operate based on an operating system, such as Windows Server, stored in memory 1932^TM，Mac OS X^TM，Unix^TM,Linux^TM，FreeBSD^TMOr the like.

In an exemplary embodiment, a non-transitory computer readable storage medium, such as the memory 1932, is also provided that includes computer program instructions executable by the processing component 1922 of the electronic device 1900 to perform the above-described methods.

The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.

The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.

The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.

The computer program instructions for carrying out operations of the present disclosure may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry that can execute the computer-readable program instructions implements aspects of the present disclosure by utilizing the state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).

Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.

These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.

The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The computer program product may be embodied in hardware, software or a combination thereof. In an alternative embodiment, the computer program product is embodied in a computer storage medium, and in another alternative embodiment, the computer program product is embodied in a Software product, such as a Software Development Kit (SDK), or the like.

Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A data processing method, comprising:

creating a target tactical mission, wherein the target tactical mission comprises a data analysis condition and a data statistic dimension;

according to the data analysis conditions, carrying out data analysis on a plurality of portrait archives in a portrait archive library to obtain data analysis results corresponding to the target technical and tactical mission, wherein the data analysis results comprise a plurality of target persons and target portrait archives corresponding to the target persons;

and aiming at least one target person in the target persons, performing data statistics on the portrait snapshot related to the data analysis in the target portrait archive corresponding to the at least one target person according to the data statistics dimension to obtain a data statistics result.

2. The method of claim 1, wherein the data analysis conditions include at least one spatio-temporal scope, wherein the spatio-temporal scope includes a time period and a location.

3. The method of claim 1 or 2, wherein the target tactical mission is a tactical mission that focuses on the frequency of occurrence of target personnel;

the data statistics dimensions include: the number of times the target person appears per day within the target spatiotemporal range.

4. The method of claim 3, wherein the target tactical mission comprises at least one of: frequently filtering the human and technical tactical mission and filtering the human and technical tactical mission by the space-time file.

5. The method according to claim 3 or 4, wherein the performing data statistics on the portrait capture image related to the data analysis included in the target portrait archive corresponding to at least one target person according to the data statistics dimension for at least one target person in the plurality of target persons to obtain a data statistics result includes:

and aiming at least one target person in the target persons, carrying out data statistics on the portrait snapshot images which are included in the target portrait archive corresponding to the at least one target person and are related to the data analysis, and obtaining the number of times of the at least one target person appearing in the target space-time range every day.

6. The method of claim 1 or 2, wherein the target tactical mission is a tactical mission that focuses on the number of days a target person is present;

the data statistics dimension includes at least one of: the number of days that the target person appears in the target space-time range, the number of days that the target person disappears in the target space-time range, and the number of days that the target person appears in the target space-time range and the number of days that the target person disappears.

7. The method of claim 6, wherein the target tactical mission comprises at least one of: the first occurrence of the technical and tactical mission, the perception of leaving the technical and tactical mission, the continuous occurrence of the technical and tactical mission and the day and night technical and tactical mission.

8. The method according to claim 6 or 7, wherein the performing data statistics on the portrait capture image related to the data analysis included in the target portrait archive corresponding to at least one target person according to the data statistics dimension for at least one target person in the plurality of target persons to obtain a data statistics result includes:

and aiming at least one target person in the plurality of target persons, carrying out data statistics on the portrait snapshot picture related to the data analysis and included in the target portrait archive corresponding to the at least one target person to obtain the number of days of appearance and/or the number of days of disappearance of the at least one target person in the target space-time range.

9. The method of claim 1 or 2, wherein the target tactical mission comprises a spatiotemporal collision tactical mission;

the data statistics dimensions include: the target persons are respectively present in a plurality of target space-time ranges.

10. The method according to claim 9, wherein the performing data statistics on the portrait capture image related to the data analysis included in the target portrait archive corresponding to at least one target person according to the data statistics dimension for at least one target person among the plurality of target persons to obtain a data statistics result comprises:

11. The method of claim 1 or 2, wherein the target tactical mission comprises a peer analytic tactical mission;

the data statistics dimensions include: the target person is present simultaneously with the other persons within the target space-time range.

12. The method according to claim 11, wherein the performing data statistics on the portrait capture image related to the data analysis included in the target portrait archive corresponding to at least one target person according to the data statistics dimension for at least one target person among the plurality of target persons to obtain a data statistics result includes:

and aiming at least one target person in the plurality of target persons, carrying out data statistics on the portrait snapshot related to the data analysis and included in the target portrait archive corresponding to the at least one target person according to the data statistics dimension, and determining the situation that the at least one target person and other target persons are simultaneously in the target space-time range.

13. The method according to any one of claims 1 to 12, further comprising:

carrying out face clustering on a plurality of portrait snapshots acquired from a plurality of video sources to obtain a first clustering result, wherein the plurality of video sources comprise a plurality of portrait snapshots acquired at different times and different places;

and determining a plurality of portrait archives in the portrait archive library according to the first clustering result.

14. The method according to claim 13, wherein the first clustering result comprises a plurality of portrait snapshot sets;

determining a plurality of portrait archives in the portrait archive according to the first clustering result, including:

and determining any one portrait snapshot map set in the plurality of portrait snapshot map sets as a portrait archive to obtain the plurality of portrait archives, wherein different portrait snapshot map sets correspond to different portrait archives.

15. The method of claim 14, wherein determining a plurality of portrait profiles in the portrait profile repository based on the first clustering result comprises:

clustering the first clustering result again according to a first portrait library to obtain a second clustering result, wherein the first portrait library comprises characteristic face images of a plurality of persons with determined identities, and the second clustering result comprises a plurality of portrait snapshot image sets;

16. The method according to any one of claims 1 to 15, wherein the target portrait archive corresponding to each target person comprises portrait snapshots corresponding to the target person at different time and different locations;

the method further comprises the following steps:

and aiming at any target person, determining behavior track information of the target person according to a figure snapshot picture corresponding to the target person at different time and different places in a target figure file corresponding to the target person.

17. A data processing apparatus, comprising:

the task creating module is used for creating a target tactical task, wherein the target tactical task comprises a data analysis condition and a data statistics dimension;

the data analysis module is used for carrying out data analysis on a plurality of portrait files in a portrait file library according to the data analysis conditions to obtain data analysis results corresponding to the target technical and tactical mission, wherein the data analysis results comprise a plurality of target persons and target portrait files corresponding to the target persons;

and the data statistics module is used for carrying out data statistics on the portrait snapshot picture related to the data analysis in the target portrait archive corresponding to at least one target person according to the data statistics dimension aiming at least one target person in the plurality of target persons to obtain a data statistics result.

18. An electronic device, comprising:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to invoke the memory-stored instructions to perform the method of any one of claims 1 to 16.

19. A computer readable storage medium having computer program instructions stored thereon, which when executed by a processor implement the method of any one of claims 1 to 16.