GA/T 1399.1-2017Video and image analysis system for public security—Part 1: General technical requirements (English PDF)

1 Scope 1

2 Normative references 1

3 Terms and definitions, abbreviations 1

3.1 Terms and definitions 1

3.2 Abbreviations 3

4 Composition of public security video image analysis system 3

4.1 Functional composition 3

4.2 System and external connection relationship 4

5 System function 5

5.1 Video image input 5

5.2 Interface 6

5.3 Analysis and description of video image content 6

5.4 Video image enhancement and restoration 6

5.5 Video image retrieval 6

5.6 Data storage and sharing 6

5.7 Analysis and processing task management 7

5.8 System Management 7

6 Other 8

Appendix A (Normative Appendix) Service Interface Object Attributes 9

Appendix B (Normative Appendix) Description of Service Interface Object XMLSchema 17

References 24

Public Security Video Image Analysis System Part 1: General technical requirements

1 Scope

This part specifies the technical requirements for the system composition and system functions of the public security video image analysis system.

This part applies to the planning and design, software development, testing and acceptance of public security video image analysis systems. Video image analysis in other fields the analysis system can be used for reference.

2 Normative references the following documents are indispensable for the application of this document. For dated reference documents, only the dated version applies to this article Pieces. For undated references, the latest version (including all amendments) applies to this document.

GB/T 28181-2016 Technical requirements for information transmission, exchange and control of public security video surveillance networked systems GB/T 30147-2013 Technical requirements for real-time intelligent analysis equipment for security surveillance video GA/T 669.2-2008 Urban Monitoring and Alarm Networking System Technical Standard Part 2: Safety Technical Requirements GA/T 893-2010 Application terminology of security biometric identification GA/T 1399.2-2017 Public Security Video Image Analysis System Part 2: Video Image Content Analysis and Description Technical Requirements GA/T 1400.1-2017 Public Security Video Image Information Application System Part 1: General Technical Requirements GA/T 1400.3-2017 Public Security Video Image Information Application System Part 3: Database Technical Requirements GA/T 1400.4-2017 Public Security Video Image Information Application System Part 4: Interface Protocol Requirements IETFRFC5905 Network Time Protocol Version 4 (NetworkTimeProtocolVersion4)

3 Terms and definitions, abbreviations

3.1 Terms and definitions the terms and definitions defined in GB/T 30147-2013, GA/T 893-2010, GA/T 1400.1-2017 and the following terms and definitions apply to this document.

3.1.1

Video image analysis system videoandimageanalysissystem Analyze and process videos and images, identify the content of videos and images, improve video and image quality, and quickly find and locate key

Note the information system.

3.1.2

Video image content analysis videoandimagecontentanalysis Detect or identify the characteristics, behaviors, and quantities of people, vehicles, objects and other objects in video images.

3.1.3

Video image content description contentdescriptionofvideoandimage Use computer-recognizable and structured data to express the results of video image content analysis.

3.1.4

Video image description data videoandimagedescriptiondata Data that expresses people, vehicles, objects and other objects, scenes, behaviors, and events extracted from video images.

3.1.5

Video image enhancement videoandimageenhancement Using image processing technology to improve the overall video image or specific parts of the video image clarity, contrast and other quality indicators.

3.1.6

Video image restoration videoandimagerestoration Using the prior knowledge in the image degradation process, through modeling and other means, eliminate the noise caused by the sensor, the inaccurate focus of the camera, the object and the phase.

Image degradation caused by relative movement between cameras, random atmospheric flow, and haze effects.

3.1.7

Video image search videoandimagesearch Find and locate people, vehicles, objects and other objects in video images.

3.1.8

Target object

Specific objects such as people, vehicles, and objects in video images.

3.1.9

Object detection and feature extraction object detection and feature extraction to locate the target in the video image, and analyze and judge the target's color, category and other attributes.

3.1.10

Objectrecognition

Identify attributes such as the identity of the target in the video image.

3.1.11

Objectbehavioranalysis Detect and recognize the behavior of targets in video images.

3.1.12

Objectquantityanalysis Perform statistical analysis on the number or magnitude of targets in the video image.

3.1.13

Object color detection Analyze and judge the color of the target in the video image.

3.1.14

Pedestriandetection

Recognize pedestrians and their positions and sizes in video images.

3.1.15

Personattributeanalysis Analyze and judge the gender, age, clothing and other attributes of the person in the video image.

3.1.16

Vehicle detection

Identify the vehicle and its position and size in the video image.

3.1.17

Basic characteristic of vehicle recognition Identify the type, brand, model, model year, color, etc. of the motor vehicle in the video image.

3.1.18

Individual characteristic of vehicle recognition individualcharacteristicofvehiclerecognition Identify the characteristics of individual motor vehicles in video images. For example, to identify whether the front windshield of a motor vehicle has vehicle inspection marks;

Identify whether the sun visor is opened or not; identify whether the passenger is wearing a seat belt; identify whether there are pendants and tissue boxes in the car.

3.1.19

License plate recognition Features such as the license plate number, license plate color, and license plate type of motor vehicles are automatically extracted from the video image.

3.1.20

Defogging

Improve the video image obtained by the camera, remove or alleviate the impact of fog on the video image quality.

3.1.21

Deblurring

Improve the video image acquired by the camera, remove or alleviate the relative motion between the camera and the target and the camera out of focus on the video image the impact of image quality.

3.1.22

Super-resolution reconstruction Construct a high-resolution image from a low-resolution image or image sequence.

3.2 Abbreviations

The following abbreviations apply to this document.

NTP. Network Time Protocol (NetworkTimeProtocol) PS. Program Stream (ProgramStream) SNTP. Simple Network Time Protocol (SimpleNetworkTimeProtocol)

4 Composition of Public Security Video Image Analysis System

4.1 Functional composition

4.1.1 The public security video image analysis system (hereinafter referred to as the "system") is a subsystem of the public security video image information application system. System functions the composition is shown in Figure 1.

5.1.2 Input method

The input method should meet the following requirements.

a) Obtaining historical video and real-time video from the video surveillance network/sharing platform shall comply with the relevant requirements in GB/T 28181-2016 Claim;

b) Obtaining video image files from the application platform should meet the relevant requirements in GA/T 1400.4-2017;

c) Support to obtain video image file input from local storage device.

5.2 Interface

5.2.1 The analysis interface, data service interface and acquisition interface protocol should comply with the regulations in GA/T 1400.4-2017.

5.2.2 The content-type header field in the message header should be set to application/VIAS JSON. The attributes of the objects in the message body and the XML description should meet the relevant requirements of Appendix A and Appendix B.

5.3 Analysis and description of video image content

5.3.1 Video image content analysis at least one of the following video image content analysis functions shall be supported but not limited to.

a) Target detection and feature extraction. support moving target detection, target classification, target color detection, pedestrian detection, face detection, and face One or more of functions such as comparison and vehicle detection. Should support personnel attribute analysis function;

b) Target quantity analysis. Support one or more functions of traffic statistics, density detection and other functions;

c) Target recognition. support one or more of the functions of vehicle number plate recognition, vehicle basic feature recognition, and vehicle individual feature recognition Features;

d) Behavior analysis. support leftover detection, target removal detection, tripwire detection, intrusion detection, retrograde detection, wandering detection and other functions One or more of the functions;

e) Video summary. Support video summary function.

5.3.2 Video image content description it should support the description of the results of video image content analysis, and the description format should comply with the relevant GA/T 1399.2-2017 Claim.

5.4 Video image enhancement and restoration at least one of the following video image enhancement and restoration functions shall be supported but not limited to.

a) Video image enhancement. support one or more of the functions of contrast enhancement, low illumination enhancement, etc.;

b) Video image restoration. support dehazing, deblurring, super-resolution reconstruction, geometric distortion correction, color cast correction, denoising and other functions One or more functions.

5.5 Video image retrieval should support the input of text keyword information, images, video clips, etc. to search for targets and related video images.

5.6 Data storage and sharing

5.6.1 It shall support the information such as processing result video, processing result image and video image description data through data service interface or collection interface.

Write to view library.

5.6.2 It should support the reporting of processing result videos, processing result images and video image description data to the application platform through the analysis interface information.

5.6.3 The format of the processing result video and the processing result image shall meet the requirements of 5.1.1.

5.7 Analysis and processing task management

5.7.1 Users should be supported to manually create, view, start, pause, and terminate video image content analysis, video image enhancement and restoration, and video image Tasks like retrieval.

5.7.2 It shall support the creation, viewing, start, pause, and termination of video image content analysis, video image enhancement and restoration, and video image content analysis through the analysis interface.

Frequency image retrieval and other tasks.

5.8 System Management

5.8.1 User Management

5.8.1.1 User registration and identity authentication the system should have an independent authentication and authentication function, and the legality of the user's identity should be authenticated.

5.8.1.2 Identity authentication mode should comply with the regulations in GA/T 669.2-2008.

5.8.1.3 User access control the following access control methods shall be supported.

a) Restrict the login IP address used by users;

b) Restrict users from multiple logins.

5.8.1.4 User authorization policy According to the different user rights to use the system, users should be divided into at least two types. management users and system users.

a) Management users. users who manage system software and hardware resources, system operating status, and security configuration Modify and delete system user permissions and other functions; except for data that exceeds the storage period specified by the system, management users cannot browse, modify, Delete data generated by system users in the system;

b) System users. Including all application systems connected to the system, such as application platforms, etc.

The management analysis processing tasks are authenticated.

5.8.2 Log Management the log management function of the system meets the following requirements.

a) It should support the recording of system operation logs and operation logs. The operation logs include the start and stop of service modules in the system, and system users the registration, deregistration, object deletion operations, analysis and processing tasks creation, start, suspension, termination and other information, the operation log includes management Manage user login, logout, configuration operations and other usage information;

b) The storage time of operation log and operation log should be no less than 6 months;

c) Log management should meet the relevant management requirements of the public security information system;

d) It is advisable to support statistical analysis of logs and generate log analysis reports.

5.8.3 Clock synchronization the system should support synchronization with the NTP clock source based on the NTP/SNTP protocol (see IETFRFC5905).

5.8.4 State Management the system shall support the following status management functions.

a) System resource usage, including computing resource usage, storage resource usage, etc.;

b) Network status inspection, including server equipment connectivity inspection, etc.

5.8.5 Configuration Management should support system parameter settings, including application platform, video gallery and other server address information, access account information, and analysis and processing tasks Parameters etc.

6 other

The safety, electromagnetic compatibility, environmental adaptability, power adaptability, reliability, operation and maintenance of the system shall comply with GA/T 1400.1-Relevant regulations in 2017.