CN107749963A - A kind of source information that perceives merges video method more - Google Patents

A kind of source information that perceives merges video method more Download PDF

Info

Publication number
CN107749963A
CN107749963A CN201710961702.XA CN201710961702A CN107749963A CN 107749963 A CN107749963 A CN 107749963A CN 201710961702 A CN201710961702 A CN 201710961702A CN 107749963 A CN107749963 A CN 107749963A
Authority
CN
China
Prior art keywords
video
data
converged services
frame
picture
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
CN201710961702.XA
Other languages
Chinese (zh)
Inventor
赵霞
张长恒
崔迎宝
赵松
赵梦瑶
陈晨
安雨宸
于重重
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.)
Beijing Technology and Business University
Original Assignee
Beijing Technology and Business University
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 Beijing Technology and Business University filed Critical Beijing Technology and Business University
Priority to CN201710961702.XA priority Critical patent/CN107749963A/en
Publication of CN107749963A publication Critical patent/CN107749963A/en
Pending legal-status Critical Current

Links

Classifications

    • 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
    • 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
    • G06F16/71Indexing; Data structures therefor; Storage structures
    • 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
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/76Television signal recording
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/20Adaptations for transmission via a GHz frequency band, e.g. via satellite

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Signal Processing (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Astronomy & Astrophysics (AREA)
  • Software Systems (AREA)
  • Television Signal Processing For Recording (AREA)

Abstract

Source information fusion video method is perceived the invention discloses one kind, this method includes more:1) according to the hardware device in system architecture deployment system;2) converged services module obtains video flowing and frame of video picture from network hard disk video recorder;3) timing of converged services module obtains multi-source data by data access interface;4) converged services module is that frame of video picture generates pathname and filename, and preserves picture;5) converged services module is merged the data got and frame of video, and by the data storage after fusion in the local database;6) inquiry request that service module receives client is inquired about, returns to the picture for the condition that meets.The present invention is capable of the real-time acquisition of systematization, storage, fusion, retrieval data, the relevance established between data source, ensures global coherency, integrality, effectively improves the reaction speed and efficiency of production efficiency, safety precaution, and emergency processing.

Description

A kind of source information that perceives merges video method more
Technical field
The present invention relates to the fusion problem for perceiving source information in video monitoring system more, and in particular to Big Dipper receiver number According to, the acquisition of the multi-source information such as Temperature Humidity Sensor data and video flowing, merge, storage, querying method, belong to security protection video prison Control field.
Background technology
In the industrial production, each key area has all deployed video monitoring system, can obtain the video in scene And image, improve the security and manageability of production scene.Generally, there be various environmental key-elements production scene, including when Between, geography, noise, humiture, wind direction, come in and go out personnel identity information etc., these information can be obtained by various sensing equipments, It is the information required for safety in production, security protection.But these systems are all the autonomous systems established one's own system, data source is all only It is vertical to be stored in respective server, it is difficult to comprehensively utilize, carry out the feature of event that accurate description occurred and scene, it is difficult to support Intelligentized production, scheduling, control, protection, this scattered, independent monitoring system and database are unfavorable for efficient, intelligent work The needs of industry production management.
In order to improve video monitoring and safety in production, the efficiency of safety precaution and intelligence degree, it is necessary to will be above-mentioned more Kind environmental information collects fusion, real-time acquisition, storage, the retrieval of systematization by the intelligent video monitoring system of integration Data, the relevance established between data source, particularly ensure time, the accuracy in place, ensure global coherency, complete Property, beneficial to alarm of pinpointing the problems, while situation can be analyzed, further do data mining, therefrom excavate valuable Information, for improving the reaction speed and efficiency of production efficiency, safety precaution, and emergency processing.
The source information integration technologies that perceive come across in the 1970s, how that the data message of separate sources is whole studying more It is combined, to obtain the result more accurate, more reliable than with single data.It is perceive level of the source information fusion by fusion more It is divided into 3 kinds of pixel-based fusion, feature-based fusion and decision level fusion.Pixel-based fusion is the fusion of lowest level, directly to passing The observation data of sensor carry out fusion treatment, are then based on fusion results and carry out feature extraction and judge decision-making.Feature-based fusion Refer in the raw information that each sensor provides, extract one group of characteristic information first, form characteristic vector, and enter to target Row classification or other before processings merge to each group information, sometimes referred to as middle rank fusion.Conventional method has clustering methodology, Artificial neural network and K rank nearest neighbor methods etc..Decision level fusion is high-level fusion, is first based on itself institute by each sensor The data of collection make decisions, and then complete the fusion treatment to local decision in fusion center.Common algorithms have Bayes to push away Disconnected, expert system, D-S evidential reasonings etc..
The video frequency monitoring method of existing multisource data fusion is for particular source either in video encoder apparatus Inside receive multi-source data.A kind of for example, video monitoring pedestrian identification side for multi-source big data fusion that Wuhan University proposes Method (CN105357496A), the physical identity of pedestrian is identified by the push-to-talk handset number of control point.Observe on travel path The number of recurrences of phone number on control point where specific suspicion pedestrian, calculates pedestrian, and phone number reappears probability, and two The combined probability of person identifies the physical identity of pedestrian.Solve and only rely only on monitor video itself to identify monitoring objective identity Problem of Failure in some cases.Zhongxing Microelectronci Co., Ltd., Beijing proposes a kind of video for supporting multisource data fusion Method for hierarchically coding (CN106303538A), video is optimized and encode simultaneously together with the multi-source information of external sensor Step combines, and source video is formed the classification code stream comprising video content and each object video relevant information.Solves existing video Encoder apparatus can not receive external sensor information and operating efficiency is low, it is impossible to effectively give top priority to what is the most important information the problems such as.
The former invents and achievement is mainly for video monitoring pedestrian's identification of multisource data fusion, and main target is profit With the number of recurrences of video monitoring and the push-to-talk handset number of control point to identifying rows people's identity.The latter invents and the main pin of achievement Video spatial scalable coding method to supporting multisource data fusion, main target are that solve existing video encoder not possess outside reception The problem of portion's Multiple Source Sensor informational function.
The content of the invention
The present invention proposes a kind of more perception source information fusion video frequency monitoring methods and system, system (the abbreviation multisource video Monitoring system) by web camera, network hard disk video recorder, Big Dipper receiver, Temperature Humidity Sensor, converged services device, client End composition.Converged services module is run on converged services device, inquires about two modules of service module.Converged services module is hard from network Disk video recorder obtains video flowing, intercepts frame of video picture from video flowing at set time intervals, and pass through data-interface Obtain the data of multiple data sources.After converged services module merges multi-source data with frame of video picture, according to set plan Slightly, data are packed, are stored under locally specified catalogue, and establish information index.Inquiry service module is supported to come from client The retrieval and inquisition at end.Multi-source awareness apparatus provides polytype number by data gateway or database for converged services device According to the data-interface of converged services module is responsible for completing the collection of these data.
Specifically, method of the invention comprises the following steps (with reference to figure 1):
A. it is as follows according to the hardware device in system architecture deployment system, specific implementation step:
A1. described hardware device includes:Web camera, network hard disk video recorder, Temperature Humidity Sensor, the Big Dipper receive Device, converged services device, client, it is connected to by interchanger in a LAN;
A2. two modules are run on converged services device:Converged services module is responsible for obtaining frame of video picture and multi-source data, And fusion function;Inquiry service module is responsible for the request of customer in response end;
A3. Big Dipper receiver is connected with converged services device serial ports, from big-dipper satellite receive information, and issues converged services Module;
A4. Temperature Humidity Sensor device is connected with converged services device serial ports, obtains ambient temperature and humidity data, and issue fusion Service module;
A5. client includes but is not limited to PC computers, smart mobile phone, iPAD equipment, receives user's request, is taken from fusion Business device obtains information needed and video;
A6. converged services module by unified data access interface and different pieces of information sources traffic and obtains data;
A7. service module is inquired about by http protocol and client communication, receives client request, and return to regarding for request Frequency frame picture and the information inquired about;
B. converged services module obtains video flowing and frame of video picture from network hard disk video recorder;Specific implementation step is such as Under:
B1. after converged services module starts, video flowing is asked to network hard disk video recorder;
B2. after network hard disk video recorder receives request, video flowing is sent to converged services module;
B3. converged services module is decoded it after receiving video flowing, and time driving mechanism or event are used per road video Driving mechanism extracts frame of video picture in decoded video flowing;
Time driving mechanism described in B3.1 refers to, and starts a timer in converged services module, (or refers to every 1 second Fixed other times interval) activate the operation for extracting frame of video picture;
Event-driven mechanism described in B3.2 refers to, in web camera, network hard disk video recorder, Big Dipper receiver, warm and humid When specific event occurs in degree sensor, converged services device, the operation of activation extraction frame of video picture;
C. the timing of converged services module obtains multi-source data by data access interface, and specific implementation step is as follows:
C1. described data source includes but is not limited to Big Dipper receiver, Temperature Humidity Sensor;
C2. data are transmitted after big-dipper satellite receives Big Dipper data and give converged services mould by Big Dipper receiver Block;Data include but is not limited to Big Dipper time, longitude and latitude, height above sea level etc.;
C3. converged services module obtains the data of packing according to time driving mechanism by data access interface from serial ports;
C4. Temperature Humidity Sensor device transmits data to converged services after environment gets data of the Temperature and Humidity module Module;Data include temperature, humidity etc.;
C5. converged services module obtains the data of packing according to time driving mechanism by data access interface from serial ports;
D. converged services module is that frame of video picture generates pathname and filename, and preserves picture, specific implementation step It is as follows:
D1. the step C2 Big Dipper times obtained and web camera mark generation pathname and filename are utilized;
D2. pathname describes the storage catalogue of frame of video picture, and its structure is divided into 6 grades:" year-month-day-when-point-network Camera identification name ";Picture storage catalogue constructs in the way of extending step by step;Specific implementation step is as follows:
The D2.1 first class catalogues entitled time then;
D2.2 constructs second-level directory, the moon in second-level directory entitled higher level's directory name+this month under first class catalogue, according to month Part;
D2.3 by that analogy, under every first class catalogue after two level, establishes next stage catalogue;
D2.4 afterbodies directory name is " web camera identification number ", is represented in certain year in such a month, and on such a day a certain point of some time Zhong Li, the catalogue where the frame of video picture of the web camera;
D3. picture file is stored under the afterbody of above-mentioned bibliographic structure, and file name is:YMDHMS-IPCID; It is expressed as the frame of video picture accessed by M S minute, IPCID second video cameras during the Y M D month, H day;
E. converged services module is merged the multi-source data got and frame of video, and by the data storage after fusion In the local database, specific implementation step is as follows:
E1. converged services module will get frame of video picture, multi-source data, be merged according to set strategy;Merge plan Slightly include but is not limited to be merged according to geographical position correlation, specific implementation step is:Same inspection place will be located at for the moment The data and the pathname of frame of video picture storage and filename write-in one that Temperature Humidity Sensor, the Big Dipper receiver at quarter obtain Individual buffering area, as a fused data bag;
E2 is stored in database using fused data bag as a record;Described database is including but not limited to MYSQL Database;
E3. converged services module establishes information index, including but not limited to the time of frame of video picture, geographical position, The foundation such as characteristic attribute, label are indexed, and index information is stored in into database;
F. the inquiry request that service module receives client is inquired about, returns to the picture for the condition that meets;Specific implementation step is such as Under:
F1. inquire about service module and open nginx services;
F2. client sends querying condition and gives inquiry service module, the inquiry bar that can be inputted at client query interface Part includes but is not limited to period, geographical position and other attribute conditions;
F3. inquire about service module and receive the inquiry request from client, obtained and corresponded in database according to querying condition Path is locally stored, and the path is sent to client;
F4. after client receives path, frame of video picture is asked to inquiry service module according to the path;
F5. inquire about service module and receive the frame of video picture request from client, read institute from hard disk according to path The frame of video picture of request, is sent to client;
F6. client receives the frame of video picture that inquiry service module is sent, and saves it under local directory, and show On interface.
Brief description of the drawings
Fig. 1:A kind of flow chart for perceiving source information fusion video method more;
Fig. 2:Overall system framework figure;
Fig. 3:Query function timing diagram.
Embodiment
Below in conjunction with the accompanying drawings, one is entered to the present invention by illustrating that the multisource video monitoring system of certain unit is used as embodiment Step description.
Specific implementation step is as follows:
1. according to the hardware device (such as Fig. 2) in system architecture deployment system, specific implementation step is as follows:
1.1 web cameras, network hard disk video recorder, Temperature Humidity Sensor, converged services device, client, pass through exchange Machine is connected in a LAN;The IP of 4 web cameras is respectively 192.168.69.233,192.168.69.236, 192.168.69.237 192.168.69.242, identification number is respectively IPCID1, IPCID2, IPCID3, IPCID4.Network is hard The IP of disk video recorder is that the IP of 192.168.69.231 converged services devices is 192.168.69.249, and client ip is 192.168.74.121;
Two modules are run on 1.2 converged services devices:Converged services module is responsible for obtaining frame of video picture and multi-source data, And fusion function;Inquiry service module is responsible for the request of customer in response end;
Information is issued converged services by 1.3 Big Dipper receivers from big-dipper satellite receive information by converged services device serial ports Module;
1.4 Temperature Humidity Sensors obtain the information such as humiture from environment, issue information by converged services device serial ports and melt Close service module;
1.5 inquiry service modules receive client request, and return to regarding for request by http protocol and client communication Frequency frame picture and the data inquired about;
2. converged services module obtains video flowing and frame of video picture from network hard disk video recorder;Specific implementation step is such as Under:
2.1 converged services modules ask four road video flowings to network hard disk video recorder;A son is separately turned on per road video Thread, for intercepting frame of video picture;
After 2.2 network hard disk video recorders receive request, video flowing is sent to converged services module, video stream format uses H264 forms;
2.3 converged services modules decode it after receiving video flowing, start a timer in converged services module, often Every the operation of 1 second activation extraction frame of video picture;
3. converged services module receives Big Dipper data from Big Dipper receiver, humiture information is obtained from Temperature Humidity Sensor;
3.1 Big Dipper receivers obtain time DateTime local on big-dipper satellite, longitude longitude, latitude The information such as Latitude, height above sea level Height, converged services module is transferred data to 1HZ frequency by serial ports;
3.2 Temperature Humidity Sensors obtain the information such as temperature temperature, humidity humidity in environment, pass through string Mouth transfers data to converged services module with 1HZ frequency;
4. converged services module, which is frame of video picture, generates pathname and filename, and preserves picture, specific implementation step It is as follows:
4.1 times for assuming to transmit from Big Dipper receiver were 1 day 9 January in 2017:10:11, network hard disk video recorder transmits The frame of video picture of interception is stored under local directory by four road video flowings, converged services module;
4.2 by " year-month-day-when-point-web camera identification number " extend step by step in the way of construct pathname, path Name is as follows:
E:\\2017\201701\20170101\2017010109\201701010910\IPCID1\
E:\\2017\201701\20170101\2017010109\201701010910\IPCID2\
E:\\2017\201701\20170101\2017010109\201701010910\IPCID3\
E:\\2017\201701\20170101\2017010109\201701010910\IPCID4\
4.3 four IPC now obtained picture file is stored under four above-mentioned catalogues respectively, according to " YMDHMS- IPCID " form construction filename, filename are as follows:
20170101091011-IPCID1.jpg
20170101091011-IPCID2.jpg
20170101091011-IPCID3.jpg
20170101091011-IPCID4.jpg
What 5. the data such as the time that converged services module transmits the Big Dipper, longitude and latitude, height above sea level and Temperature Humidity Sensor transmitted In the routing information of the data such as temperature, humidity and picture deposit database db_M tb_IPC tables, four records are respectively:
6. inquiring about the inquiry request that service module receives client, the picture for the condition that meets is returned to, specific implementation step is such as Under:
6.1 inquiry service modules open nginx services;
In query interface input inquiry condition, client sends querying condition and gives inquiry service module 6.2 users;
6.2.1 user is 1 day 00 January in 2017 in query interface input inquiry condition time:00:00 web camera mark Know the picture for IPCID1;
6.2.2 inquiry request is sent to inquiry service module by client by http protocol;
Path is locally stored corresponding to being obtained according to querying condition in database in 6.3 inquiry service modules, and by the path It is sent to client;
6.3.1 after inquiry service module receives client request, obtained according to querying condition in database and road is locally stored Footpath, query statement are " select Path from tb_BeidouIPC where DateTime=' 20,170,101 00:00: 00 ' andIPCID=' IPCID1 ' ",
6.3.2 inquiring about the store path that service module inquires is
E:\\2017\201701\20170101\2017010100\201701010000\201701010000-IPCID1\ 201701010000-IPCID1\20170101000000-IPCID1.jpg,;
6.3.3 the path is sent to client by inquiry service module;
After 6.4 clients receive path, frame of video picture is asked to inquiry service module according to the path;
6.5 clients receive the frame of video picture that inquiry service module is sent, and save it under local directory, and show On interface;
It is finally noted that the purpose for publicizing and implementing example is that help further understands the present invention, but this area Technical staff be appreciated that:Without departing from the spirit and scope of the invention and the appended claims, it is various to replace and repair It is all possible for changing.Therefore, the present invention should not be limited to embodiment disclosure of that, and the scope of protection of present invention is to weigh The scope that sharp claim defines is defined.

Claims (3)

1. a kind of source information that perceives merges video method more, its step includes:
A. it is as follows according to the hardware device in system architecture deployment system, specific implementation step:
A1. described hardware device includes:Web camera, network hard disk video recorder, Temperature Humidity Sensor, Big Dipper receiver, Converged services device, client, it is connected to by interchanger in a LAN;
A2. two modules are run on converged services device:Converged services module is responsible for obtaining frame of video picture and multi-source data, and melts Close function;Inquiry service module is responsible for the request of customer in response end;
A3. Big Dipper receiver is connected with converged services device serial ports, from big-dipper satellite receive information, and issues converged services mould Block;
A4. Temperature Humidity Sensor device is connected with converged services device serial ports, obtains ambient temperature and humidity data, and issue converged services Module;
A5. client includes but is not limited to PC computers, smart mobile phone, iPAD equipment, user's request is received, from converged services device Obtain information needed and video;
A5. converged services module by unified data access interface and different pieces of information sources traffic and obtains data;
A6. service module is inquired about by http protocol and client communication, receives client request, and return to the frame of video of request Picture and the information inquired about;
B. converged services module obtains video flowing and frame of video picture from network hard disk video recorder;Specific implementation step is as follows:
B1. after converged services module starts, video flowing is asked to network hard disk video recorder;
B2. after network hard disk video recorder receives request, video flowing is sent to converged services module;
B3. converged services module is decoded it after receiving video flowing, and time driving mechanism or event-driven are used per road video Mechanism extracts frame of video picture in decoded video flowing;
C. the timing of converged services module obtains multi-source data by data access interface, and specific implementation step is as follows:
C1. described data source includes but is not limited to Big Dipper receiver, Temperature Humidity Sensor;
C2. data are transmitted after big-dipper satellite receives Big Dipper data and give converged services module by Big Dipper receiver;Number According to including but not limited to Big Dipper time, longitude and latitude, height above sea level etc.;
C3. converged services module obtains the data of packing according to time driving mechanism by data access interface from serial ports;
C4. data are transmitted after environment gets data of the Temperature and Humidity module and give converged services module by Temperature Humidity Sensor device; Data include temperature, humidity etc.;
C5. converged services module obtains mobile phone relevant information by data access interface according to time driving mechanism from database;
D. converged services module is that frame of video picture generates pathname and filename, and preserves picture, and specific implementation step is as follows:
D1. the step C2 Big Dipper times obtained and web camera mark generation pathname and filename are utilized;
D2. pathname describes the storage catalogue of frame of video picture, and its structure is divided into 6 grades:" year-month-day-when-point-network shooting Machine identification name ";Picture storage catalogue constructs in the way of extending step by step;
D3. picture file is stored under the afterbody of above-mentioned bibliographic structure, and file name is:YMDHMS-IPCID;Represent For the Y M D month, H day when M S minute, IPCID second video cameras accessed by frame of video picture;
E. converged services module is merged the multi-source data got and frame of video, and by the data storage after fusion at this In ground database, specific implementation step is as follows:
E1. converged services module will get frame of video picture, multi-source data, be merged according to set strategy;Convergence strategy bag Include but be not limited to be merged according to geographical position correlation, specific implementation step is:By positioned at same inspection place synchronization Data, the pathname of frame of video picture storage and the filename that Temperature Humidity Sensor, Big Dipper receiver obtain write one and delayed Area is rushed, as a fused data bag;
E2 is stored in database using fused data bag as a record;Described database is including but not limited to MYSQL data Storehouse;
E3. converged services module establishes information index, including but not limited to the time of frame of video picture, geographical position, feature The foundation such as attribute, label are indexed, and index information is stored in into database;
F. the inquiry request that service module receives client is inquired about, returns to the picture for the condition that meets;Specific implementation step is as follows:
F1. inquire about service module and open nginx services;
F2. client sends querying condition and gives inquiry service module, the querying condition bag that can be inputted at client query interface Include but be not limited to the period, geographical position and other attribute conditions;
F3. inquire about service module and receive the inquiry request from client, according to corresponding to querying condition in database acquisition originally Ground store path, and the path is sent to client;
F4. after client receives path, frame of video picture is asked to inquiry service module according to the path;
F5. inquire about service module and receive the frame of video picture request from client, read and asked from hard disk according to path Frame of video picture, be sent to client;
F6. client receives the frame of video picture that inquiry service module is sent, and saves it under local directory, and be shown in boundary On face.
2. the source information that perceives as claimed in claim 1 merges video method more, it is characterised in that converged services module, which receives, to be regarded Frequency decodes it after flowing, and is extracted per road video using time driving mechanism or event-driven mechanism in decoded video flowing Frame of video picture, is comprised the following steps that:
Time driving mechanism described in B3.1 refers to, and starts timer in converged services module, (or is specified every 1 second Other times interval) activate the operation for extracting frame of video picture;
Event-driven mechanism described in B3.2 refers to, and is passed in web camera, network hard disk video recorder, Big Dipper receiver, humiture When specific event occurs in sensor, converged services device, the operation of activation extraction frame of video picture.
3. the source information that perceives as claimed in claim 1 merges video method more, it is characterised in that pathname describes frame of video figure The storage catalogue of piece, its structure are divided into 6 grades:" year-month-day-when-point-web camera identification name ";Picture storage catalogue according to The mode extended step by step constructs, and comprises the following steps that:
The D2.1 first class catalogues entitled time then;
D2.2 constructs second-level directory, the month in second-level directory entitled higher level's directory name+this month under first class catalogue, according to month;
D2.3 by that analogy, under every first class catalogue after two level, establishes next stage catalogue;
D2.4 afterbodies directory name is " web camera identification number ", is represented in such a month, and on such a day a certain minute in some time in certain year In, the catalogue where the frame of video picture of the web camera.
CN201710961702.XA 2017-10-17 2017-10-17 A kind of source information that perceives merges video method more Pending CN107749963A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710961702.XA CN107749963A (en) 2017-10-17 2017-10-17 A kind of source information that perceives merges video method more

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710961702.XA CN107749963A (en) 2017-10-17 2017-10-17 A kind of source information that perceives merges video method more

Publications (1)

Publication Number Publication Date
CN107749963A true CN107749963A (en) 2018-03-02

Family

ID=61253845

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710961702.XA Pending CN107749963A (en) 2017-10-17 2017-10-17 A kind of source information that perceives merges video method more

Country Status (1)

Country Link
CN (1) CN107749963A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111983367A (en) * 2020-08-27 2020-11-24 西安苏试广博环境可靠性实验室有限公司 Novel high-low temperature-low pressure screening test method and system

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103402044A (en) * 2013-08-07 2013-11-20 重庆大学 Target recognition and tracking system based on multi-source video integration
CN104899261A (en) * 2015-05-20 2015-09-09 杜晓通 Device and method for constructing structured video image information
CN204795392U (en) * 2015-06-26 2015-11-18 山东大学 Found equipment of different structure information structure ization of special equipment
US20150380055A1 (en) * 2012-09-12 2015-12-31 Intel Corporation Techniques for indexing video files
CN105493502A (en) * 2015-04-29 2016-04-13 北京旷视科技有限公司 Video monitoring method, video monitoring system, and computer program product
CN105630897A (en) * 2015-12-18 2016-06-01 武汉大学 Content-aware geographic video multilayer correlation method
CN106162193A (en) * 2015-04-08 2016-11-23 广东中星电子有限公司 A kind of video data and the coded method of sensing data and device
CN106303538A (en) * 2016-08-16 2017-01-04 北京中星微电子有限公司 A kind of video spatial scalable coded method supporting multisource data fusion and framework

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150380055A1 (en) * 2012-09-12 2015-12-31 Intel Corporation Techniques for indexing video files
CN103402044A (en) * 2013-08-07 2013-11-20 重庆大学 Target recognition and tracking system based on multi-source video integration
CN106162193A (en) * 2015-04-08 2016-11-23 广东中星电子有限公司 A kind of video data and the coded method of sensing data and device
CN105493502A (en) * 2015-04-29 2016-04-13 北京旷视科技有限公司 Video monitoring method, video monitoring system, and computer program product
CN104899261A (en) * 2015-05-20 2015-09-09 杜晓通 Device and method for constructing structured video image information
CN204795392U (en) * 2015-06-26 2015-11-18 山东大学 Found equipment of different structure information structure ization of special equipment
CN105630897A (en) * 2015-12-18 2016-06-01 武汉大学 Content-aware geographic video multilayer correlation method
CN106303538A (en) * 2016-08-16 2017-01-04 北京中星微电子有限公司 A kind of video spatial scalable coded method supporting multisource data fusion and framework

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111983367A (en) * 2020-08-27 2020-11-24 西安苏试广博环境可靠性实验室有限公司 Novel high-low temperature-low pressure screening test method and system

Similar Documents

Publication Publication Date Title
US11328163B2 (en) Methods and apparatus for automated surveillance systems
US10955586B2 (en) Weather forecasting system and methods
US9740940B2 (en) Event triggered location based participatory surveillance
US10399650B2 (en) System for monitoring marine vessels and determining rendezvouses therebetween and related methods
Geraldes et al. UAV-based situational awareness system using deep learning
US11367346B2 (en) Digitizing and mapping the public space using collaborative networks of mobile agents and cloud nodes
CA2949353C (en) Computer-implemented systems and methods of analyzing data in an ad-hoc network for predictive decision-making
Räty Survey on contemporary remote surveillance systems for public safety
US10302769B2 (en) System for monitoring marine vessels using fractal processing of aerial imagery and related methods
CA2824330C (en) An integrated intelligent server based system and method/systems adapted to facilitate fail-safe integration and/or optimized utilization of various sensory inputs
CN102752574A (en) Video monitoring system and method
US20180205444A1 (en) System for monitoring marine vessels providing expected passenger determination features and related methods
US11727317B2 (en) Systems and methods for coherent monitoring
US20230412769A1 (en) Scalable Visual Computing System
CN109905423B (en) Intelligent management system
Alabdulkarim et al. Urban analytics in crowd management in the context of Hajj
CN117319609A (en) Internet of things big data intelligent video monitoring system and method
CN102387346B (en) Intelligent front end of manageable, findable and inspectable monitoring system
CN107749963A (en) A kind of source information that perceives merges video method more
Miloudi et al. Leveraging the power of integrated solutions of IoT and GIS
Gialampoukidis et al. Multimodal data fusion of social media and satellite images for emergency response and decision-making
Li A suvey on edge intelligent video surveillance with deep reinforcement learning
Liu et al. A threefold similarity analysis of crowdsourcing feeds
Zhu et al. Application of Video Surveillance Intelligent Analysis System Based on KNN Algorithm
Vishwakarma et al. Empowering Smart Cities: A Comprehensive Edge Computing Framework for Enhanced IoT Situation Awareness

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20180302