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CN111815950A - Video structured platform for monitoring road vehicles - Google Patents

Video structured platform for monitoring road vehicles Download PDF

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Publication number
CN111815950A
CN111815950A CN202010567550.7A CN202010567550A CN111815950A CN 111815950 A CN111815950 A CN 111815950A CN 202010567550 A CN202010567550 A CN 202010567550A CN 111815950 A CN111815950 A CN 111815950A
Authority
CN
China
Prior art keywords
vehicle
information
platform
video
processing platform
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202010567550.7A
Other languages
Chinese (zh)
Inventor
卢青松
季乐
李�杰
王培青
魏洪伟
崔虎
张崴
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Anhui Chaoqing Technology Co ltd
Original Assignee
Anhui Chaoqing Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Anhui Chaoqing Technology Co ltd filed Critical Anhui Chaoqing Technology Co ltd
Priority to CN202010567550.7A priority Critical patent/CN111815950A/en
Publication of CN111815950A publication Critical patent/CN111815950A/en
Pending legal-status Critical Current

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Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125Traffic data processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/73Querying
    • G06F16/735Filtering based on additional data, e.g. user or group profiles
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/783Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G06F16/7837Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using objects detected or recognised in the video content
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/017Detecting movement of traffic to be counted or controlled identifying vehicles
    • G08G1/0175Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L65/00Network arrangements, protocols or services for supporting real-time applications in data packet communication
    • H04L65/60Network streaming of media packets
    • H04L65/65Network streaming protocols, e.g. real-time transport protocol [RTP] or real-time control protocol [RTCP]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L65/00Network arrangements, protocols or services for supporting real-time applications in data packet communication
    • H04L65/60Network streaming of media packets
    • H04L65/75Media network packet handling
    • H04L65/762Media network packet handling at the source 
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/181Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Signal Processing (AREA)
  • Library & Information Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Traffic Control Systems (AREA)
  • Closed-Circuit Television Systems (AREA)

Abstract

The invention discloses a video structured platform for monitoring road vehicles, which comprises a network camera set, wherein a network camera comprising a signal lamp intersection, an intersection rear section and a whole road section respectively shoots the intersection passing state of the vehicles, the detailed information of the vehicles and the traffic state of the vehicles in the whole road section, codes shot images into video streams, and transmits the video streams to a data processing platform through a network; the data processing platform extracts the vehicle effective information on the video and writes the vehicle effective information into a database; the vehicle information processing platform extracts vehicle information in the database, sends abnormal vehicle information to the supervision platform, and the vehicle supervision platform processes and disposes abnormal vehicle information; the video structured platform for monitoring the road vehicles realizes effective extraction and refined extraction of vehicle monitoring information, constructs the completed vehicle monitoring information, effectively utilizes the vehicle monitoring information, and forms complete video structuralization of road vehicle monitoring.

Description

Video structured platform for monitoring road vehicles
Technical Field
The invention belongs to the field of road monitoring, and particularly relates to a video structured platform for monitoring road vehicles.
Background
The intelligent traffic system is the development direction of traffic system, and is a comprehensive traffic management system which is established by effectively integrating and applying advanced information technology, data communication transmission technology, electronic sensing technology, control technology, computer technology and the like to the whole ground traffic management system, plays a role in a large range in all directions, and is real-time, accurate and efficient. Currently, in intelligent transportation, there are a large number of cameras installed or to be installed, a large amount of historical data is kept, and a large-scale real-time video stream is provided, because the video is unstructured data, which makes it very difficult to index and query various events. It is very convenient if we extract video features as structured data to be stored in a distributed database for indexing and querying. In an intelligent transportation system, vehicle monitoring is the most important task, and relevant effective vehicle information is extracted and has practical significance as index data. In the prior art, the vehicle information cannot be well extracted and processed, the targeted quick retrieval cannot be quickly carried out, and the vehicle monitoring and the vehicle information processing cannot be well applied.
Disclosure of Invention
The invention aims to provide a video structured platform for monitoring road vehicles, which can effectively extract and finely extract vehicle monitoring information, construct the completed vehicle monitoring information, effectively utilize the vehicle monitoring information and form a complete video structure for monitoring the road vehicles.
The invention discloses a video structured platform for monitoring road vehicles, which comprises
The network camera set comprises a plurality of network cameras which are respectively arranged at a signal lamp intersection, an intersection rear section and an entire road section, wherein the network cameras at the signal lamp intersection, the intersection rear section and the entire road section respectively shoot a vehicle crossing state, vehicle detailed information and a vehicle traffic state of the entire road section, encode shot images into video streams, and transmit the video streams to the data processing platform through a network;
the data processing platform decodes and analyzes the video stream, extracts the vehicle effective information on the video and writes the vehicle effective information into a database;
the database receives the vehicle effective information written by the data processing platform, stores the vehicle information with video structuring by using distributed data,
and the vehicle information processing platform is used for extracting the vehicle information in the database and sending the abnormal vehicle information to the supervision platform, and the vehicle supervision platform is used for processing and disposing the abnormal vehicle information.
Preferably, the network camera encodes the shot image into an H264 video stream, and transmits the video stream to the data processing platform through an RTSP protocol.
Preferably, the data processing platform performs multiple iterations by using the memory calculation characteristics of the data processing platform, and extracts various features of the vehicle in the video as the structured data of the vehicle information.
Preferably, the vehicle valid information includes vehicle color, vehicle model, front and rear license plate information, vehicle interior and exterior trim, and also includes owner information, vehicle running track, frame number, engine number, chassis number, vehicle insurance record, vehicle purchase age, vehicle annual check record and vehicle maintenance record matched with the vehicle model and the front and rear license plate information.
Preferably, the data processing platform identifies the type of the vehicle by using the mobile detection and the vehicle characteristics, positions the license plate by using the rectangular characteristics and the length-width ratio of the license plate, and accurately identifies the license plate information by using the textural characteristics of numbers, letters and Chinese characters.
Preferably, the data processing platform extracts the vehicle information and generates a keyword, and stores the generated keyword and the picture of the vehicle information in the database together with the matched information.
Preferably, the vehicle information processing platform comprises a retrieval module, and the retrieval module is used for inputting retrieval keywords to retrieve and call corresponding vehicle information in the database.
Preferably, the supervision platform registers, disposes and processes the states of vehicle violation, illegal inspection, over-insurance, debarkation and violation modification, and the disposing and processing operations comprise informing the vehicle owner of timely correction and issuing a penalty notice to the vehicle owner.
The video structured platform for monitoring the road vehicles has the advantages that:
1. the network cameras which are arranged at the signal lamp intersection, the rear section of the intersection and the whole road section are used for shooting the intersection passing state, the detailed information of the vehicle and the traffic state of the vehicle in the whole road section respectively, so that the vehicle information is extracted in a diversified manner, more effective information of the vehicle is obtained, and the vehicle can be monitored in the whole driving period.
2. The vehicle information processing platform is used for processing and disposing the abnormal state of the vehicle, so that the vehicle monitoring and vehicle management and supervision are really linked to form a complete vehicle informatization platform.
3. And the vehicle information is subjected to character editing by keywords, so that the retrieval and the query are facilitated, and the vehicle monitoring video is convenient to call in the later period.
Detailed Description
The present invention will be described in further detail with reference to specific embodiments. The embodiments of the present invention have been presented for purposes of illustration and description, and are not intended to be exhaustive or limited to the invention in the form disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiment was chosen and described in order to best explain the principles of the invention and the practical application, and to enable others of ordinary skill in the art to understand the invention for various embodiments with various modifications as are suited to the particular use contemplated.
The invention discloses a video structured platform for monitoring road vehicles, which comprises a network camera set, wherein the network camera set comprises a plurality of network cameras which are respectively arranged at a signal lamp intersection, a rear section of the intersection and the whole road section. The network camera at the signal lamp intersection shoots the state of the vehicle passing through the intersection, namely shoots the situations that whether the vehicle passing through the intersection has yellow light robbing, runs red light, gives a pedestrian no good way according to the regulations, stops the vehicle at a stop line according to the regulations and the like. The network camera at the rear section of the intersection extracts detailed information of the vehicle in a static state, and the detailed information mainly comprises information such as vehicle appearance, vehicle interior and exterior decoration, vehicle license plate and the like. The network cameras in the whole road section shoot the vehicle state of the rear section of the intersection, monitor whether dangerous vehicles or abnormal vehicles which violate rules and law and run illegally and the like exist, shoot the information of the abnormal vehicles and upload the information. All the network cameras encode the shot images into video streams, and the video streams are transmitted to the data processing platform through the network.
The data processing platform decodes and analyzes the video stream by using distributed resource scheduling, extracts the vehicle effective information on the video and writes the vehicle effective information into a database. The database receives the vehicle effective information written by the data processing platform and stores the vehicle information with the video structuralization by utilizing the distributed data.
The video structuring platform in the technology further comprises a vehicle information processing platform, the vehicle information processing platform extracts vehicle information in the database and sends abnormal vehicle information to the supervision platform, and the vehicle supervision platform processes and disposes abnormal vehicle information.
In the technology, the network camera encodes the shot image into an H264 video stream, and transmits the video stream to the data processing platform through an RTSP protocol.
In the technology, the data processing platform performs multiple iterations by using the memory calculation characteristics of the data processing platform, and extracts various characteristics of the vehicle in the video as the structured data of the vehicle information.
In the technology, the vehicle effective information comprises vehicle color, vehicle model, front and rear license plate information, vehicle interior and exterior decorations, and also comprises vehicle owner information, vehicle running track, frame number, engine number, chassis number, vehicle insurance record, vehicle purchase age, vehicle annual inspection record and vehicle maintenance record which are matched with the vehicle model and the front and rear license plate information.
The data processing platform in the technology identifies the type of the vehicle by utilizing the mobile detection and the vehicle characteristics, positions the license plate by utilizing the rectangular characteristics and the length-width ratio of the license plate, and accurately identifies the license plate information by utilizing the textural characteristics of numbers, letters and Chinese characters.
In the technology, the data processing platform extracts the vehicle information and generates a keyword, and the generated keyword, the picture of the vehicle information and the matched information are stored in a database together.
The vehicle information processing platform comprises a retrieval module, wherein retrieval keywords are input into the retrieval module, and retrieval and calling of corresponding vehicle information in a database are realized.
In the technology, the supervision platform registers, disposes and processes illegal, illegal inspection, over-insurance, depreciation and illegal modification states of the vehicle, and the disposing and processing operations comprise informing a vehicle owner of timely correcting and giving a punishment notice to the vehicle owner.
It is to be understood that the described embodiments are merely a few embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by one of ordinary skill in the art and related arts based on the embodiments of the present invention without any creative effort, shall fall within the protection scope of the present invention. Structures, devices, and methods of operation not specifically described or illustrated herein are generally practiced in the art without specific recitation or limitation.

Claims (8)

1. A video structured platform for monitoring road vehicles is characterized by comprising
The network camera set comprises a plurality of network cameras which are respectively arranged at a signal lamp intersection, an intersection rear section and an entire road section, wherein the network cameras at the signal lamp intersection, the intersection rear section and the entire road section respectively shoot a vehicle crossing state, vehicle detailed information and a vehicle traffic state of the entire road section, encode shot images into video streams, and transmit the video streams to the data processing platform through a network;
the data processing platform decodes and analyzes the video stream, extracts the vehicle effective information on the video and writes the vehicle effective information into a database;
the database receives the vehicle effective information written by the data processing platform, stores the vehicle information with video structuring by using distributed data,
and the vehicle information processing platform is used for extracting the vehicle information in the database and sending the abnormal vehicle information to the supervision platform, and the vehicle supervision platform is used for processing and disposing the abnormal vehicle information.
2. The video structured platform for road vehicle surveillance according to claim 1, characterized in that said webcam encodes the captured images into a H264 video stream, which is transmitted to the data processing platform via the RTSP protocol.
3. The video structural platform for road vehicle monitoring according to claim 1, wherein the data processing platform performs multiple iterations by using the memory computing characteristics of the data processing platform to extract multiple characteristics of the vehicle in the video as the structural data of the vehicle information.
4. The video structured platform for road vehicle surveillance as claimed in claim 1, wherein the vehicle valid information includes vehicle color, vehicle model, front and rear license plate information, interior and exterior vehicle trim, and further includes owner information, vehicle travel track, frame number, engine number, chassis number, vehicle insurance record, vehicle purchase age, vehicle annual check record and vehicle maintenance record matched by the vehicle model and the front and rear license plate information.
5. The video structuring platform for monitoring road vehicles as claimed in claim 4, wherein the data processing platform identifies the type of the vehicle by using motion detection and vehicle characteristics, locates the license plate by using rectangular characteristics and length-width ratio of the license plate, and accurately identifies the license plate information by using texture characteristics of numbers, letters and Chinese characters.
6. The video structuring platform for monitoring road vehicles as claimed in claim 4, wherein the data processing platform extracts vehicle information and generates keywords, and stores the generated keywords and the picture of the vehicle information in a database together with matched information.
7. The video structuring platform for monitoring road vehicles according to claim 1, wherein the vehicle information processing platform comprises a retrieval module, and retrieval keywords are input into the retrieval module to realize retrieval and retrieval of corresponding vehicle information in the database.
8. The video structured platform for road vehicle surveillance as claimed in claim 1, wherein the surveillance platform registers and disposes and processes vehicle illegal, violation, illegal, over-insurance, out-of-security and illegal-modification status, the dispositions and processes including informing the vehicle owner of timely corrections and issuing penalty notifications to the vehicle owner.
CN202010567550.7A 2020-06-19 2020-06-19 Video structured platform for monitoring road vehicles Pending CN111815950A (en)

Priority Applications (1)

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CN202010567550.7A CN111815950A (en) 2020-06-19 2020-06-19 Video structured platform for monitoring road vehicles

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112863170A (en) * 2020-11-14 2021-05-28 浙江信电技术股份有限公司 Road traffic mobile monitoring system

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1374806A (en) * 2001-03-13 2002-10-16 刘祥阳 Crossing traffic monitoring and recording system
US20060142933A1 (en) * 2002-11-18 2006-06-29 Lumin Feng Intelligent traffic system
CN103676829A (en) * 2013-09-11 2014-03-26 无锡加视诚智能科技有限公司 An intelligent urban integrated management system based on videos and a method thereof
CN104751639A (en) * 2015-03-17 2015-07-01 上海视聪网络信息技术有限公司 Big-data-based video structured license plate recognition system and method
CN109949351A (en) * 2019-03-19 2019-06-28 郑州信大先进技术研究院 Target vehicle driving trace extraction element and method based on video structural monitoring

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1374806A (en) * 2001-03-13 2002-10-16 刘祥阳 Crossing traffic monitoring and recording system
US20060142933A1 (en) * 2002-11-18 2006-06-29 Lumin Feng Intelligent traffic system
CN103676829A (en) * 2013-09-11 2014-03-26 无锡加视诚智能科技有限公司 An intelligent urban integrated management system based on videos and a method thereof
CN104751639A (en) * 2015-03-17 2015-07-01 上海视聪网络信息技术有限公司 Big-data-based video structured license plate recognition system and method
CN109949351A (en) * 2019-03-19 2019-06-28 郑州信大先进技术研究院 Target vehicle driving trace extraction element and method based on video structural monitoring

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112863170A (en) * 2020-11-14 2021-05-28 浙江信电技术股份有限公司 Road traffic mobile monitoring system

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Application publication date: 20201023

RJ01 Rejection of invention patent application after publication