CN105472333A - Establishment method for topological system of video monitoring equipment and associated monitoring method - Google Patents

Establishment method for topological system of video monitoring equipment and associated monitoring method Download PDF

Info

Publication number
CN105472333A
CN105472333A CN201510886009.1A CN201510886009A CN105472333A CN 105472333 A CN105472333 A CN 105472333A CN 201510886009 A CN201510886009 A CN 201510886009A CN 105472333 A CN105472333 A CN 105472333A
Authority
CN
China
Prior art keywords
video
monitoring equipment
topological
video monitoring
target
Prior art date
Application number
CN201510886009.1A
Other languages
Chinese (zh)
Inventor
白蛟
蔡功
房浩
Original Assignee
航天科工智慧产业发展有限公司
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 航天科工智慧产业发展有限公司 filed Critical 航天科工智慧产业发展有限公司
Priority to CN201510886009.1A priority Critical patent/CN105472333A/en
Publication of CN105472333A publication Critical patent/CN105472333A/en

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed circuit television systems, i.e. systems in which the signal is not broadcast
    • H04N7/181Closed circuit television systems, i.e. systems in which the signal is not broadcast for receiving images from a plurality of remote sources

Abstract

The invention discloses an establishment method for a topological system of video monitoring equipment and an associated monitoring method, relating to the field of video monitoring technologies. The establishment method for the topological system of the video monitoring equipment is supported by GIS (Geographic Information System) data, in comparison with a method for manually establishing the topological system in the prior art, the efficiency of the method is greatly improved, a large amount of manpower and practices are saved, and furthermore, in comparison with a method for establishing the topological system by utilizing probability estimation, machine learning and the like in the prior art, the method has no dependency on training data, the efficiency is improved, the complexity is greatly reduced, and the operating efficiency and the stability are greatly improved; and the method can be effectively utilized in the associated monitoring method provided by the embodiments of the invention, so that a large-scale multi-camera intelligent monitoring scheme is more practical.

Description

The method for building up of video monitoring equipment topological system and pass connection monitoring method

Technical field

The present invention relates to technical field of video monitoring, particularly relate to a kind of method for building up of video monitoring equipment topological system and close connection monitoring method.

Background technology

Along with the progress of technology and the development of society, video monitoring system obtains application in the middle of many industries, the particularly industry such as public security, security, they are born social stability maintenance, guarantee the important task of people's personal safety and property safety, have higher requirement to the performance of video monitoring system and function and expect.

Traditional video monitoring system mostly adopts and catch picture from multiple watch-dog, and on electronic curtain, separate the mode of display.This mode due to the relatively independent shortage relevance of monitored picture, in public safety applications field, often can in the face of super amount camera head monitor video information, cannot realize the moving target of video brainpower watch and control from motion tracking.

Along with the development of computer information technology, video brainpower watch and control technology and geographical information technology are paid attention at public safety field and are applied, wherein the most key and important with multiple-camera target following, also be current difficult point, this is because under new application demand, the precondition that traditional video monitoring algorithm supposes no longer is set up.In order to develop comparatively ripe, stable multiple-camera target tracking algorism, need to carry out modeling comparatively accurately to camera supervised space topological and time topological structure, on this basis, carry out the exploitation of video monitoring algorithm and realize guarantee and really meet application demand preferably.

Current video monitoring system does not also extensively set up the topological relation on room and time, and effectively cannot carry out association monitoring, multiple-camera motion estimate track algorithm is also difficult to obtain desirable effect.The way setting up video camera topological relation is normally set up by hand, by manually checking on the spot, with some cameras for basic point, check the camera around it, make the branch topology relationship of this camera, continuous repetition the method, set up the topological relation of all cameras in a certain region, demarcate its longitude and latitude, and combine with GIS, make camera incidence relation business datum table, when a certain camera of system call, read the related data of this camera in this table, then by the camera of its association of system Automatically invoked, complete this association and call.

Adopt the method for above-mentioned manual coupling, when camera quantity is more, although accuracy rate is higher, efficiency is comparatively low, needs manpower and the time of at substantial.

Automatically building topological method is propose under video monitoring camera is in great demand so that artificial means are difficult to the needs situation of satisfied fast run-up topology, and way conventional at present adopts the method such as probability Estimation, machine learning to realize.And these methods due to probability Estimation and machine learning algorithm itself solve may be comparatively complicated, and have stronger dependence to training data, so efficiency is still difficult to be guaranteed.

Summary of the invention

The object of the present invention is to provide a kind of method for building up of video monitoring equipment topological system and close connection monitoring method, thus solving the foregoing problems existed in prior art.

To achieve these goals, the technical solution used in the present invention is as follows:

A method for building up for video monitoring equipment topological system, comprises the steps

S1, gets the locating information of video monitoring equipment described in obtaining;

S2, by the locating information of described video monitoring equipment coupling in original generalized information system, generates the new generalized information system comprising the locating information of described video monitoring equipment, in described new generalized information system, generates the topological system of described video monitoring equipment;

In S2, described in described new generalized information system, generate the topological system of described video monitoring equipment, comprise the steps:

S201, obtains the location point a of all described video monitoring equipments, and is stored in data set A by described location point a;

S202, travels through described data set A, obtains with described location point a for the center of circle, is had a some p in the circle being radius with distance r, and is stored in data set P by a p;

S203, travels through described data set P, obtains the some p being positioned at the direction initialization of described location point a;

S204, obtains in S203 the ID of described video monitoring equipment corresponding to the some p of the described direction initialization got;

S205, the corresponding relation between the ID setting up described video monitoring equipment corresponding to the some p of the described direction initialization got in ID and the S203 of described video monitoring equipment corresponding to described location point a;

S206, travels through described data set A, repeats S203-S205, until traveled through data set A, generates the topological system of described video monitoring equipment.

Preferably, in S202, described distance r sets as follows: arrange according to the accessible monitoring range of described video monitoring equipment.

Preferably, described direction initialization is East, West, South, North, the southeast, southwest, northeast and direction, eight, northwest.

Preferably, in S1, the locating information of described acquisition video monitoring equipment, is specially: utilize the adjunct around described video monitoring equipment to determine the locating information of described video monitoring equipment;

And/or

GPS is utilized to determine the locating information of described video monitoring equipment.

Preferably, the locating information of described video monitoring equipment comprises: the ID of described video monitoring equipment, described video monitoring equipment place layer title, the latitude and longitude information of described video monitoring equipment and described video monitoring equipment title.

A kind of video topological correlation method for supervising, comprises the steps:

A1, utilizes the topological system of the method establishment video monitoring equipment described in any one of claim 1-6, and according to the topological system of described video monitoring equipment, obtains the topological system of video corresponding to described video monitoring equipment;

A2, obtains the target video of user monitoring;

A3, according to the topological system of described video, all videos that the target that acquisition and described target video have topological relation may occur, and carry out the coupling of the target of described user's identification and tracking, obtain next target video mated with the described target video in A2;

A4, using next target video described in getting in A3 as the described target video in A2, repeats A2-A3, terminates to user monitoring.

Preferably, in A2, adopt two two field pictures to cut algorithm mutually, obtain the target video of user monitoring.

Preferably, in A3, the described topological system according to described video, all videos that the target that acquisition and described target video have topological relation may occur, be specially, according to the topological system of described video, add road information, all videos that the target that acquisition and described target video have topological relation may occur simultaneously.

The invention has the beneficial effects as follows: the method for building up of the video monitoring equipment topological system that the embodiment of the present invention provides, be support with GIS data, compared with using the method for artificial building topology system in prior art, the efficiency of the method is greatly improved, save a large amount of manpowers and practice, and, estimate with probability of use in prior art, the method of the building topology systems such as machine learning is compared, the method does not have dependence to training data, not only efficiency is improved, and complexity obtains great reduction, operational efficiency and stability are greatly improved, and be utilized effectively in the method pass connection monitoring method that can provide in the embodiment of the present invention, make the intelligent monitoring scheme of multi-cam on a large scale more practical.

Accompanying drawing explanation

Fig. 1 is the schematic flow sheet of the method for building up of the video monitoring equipment topological system that the embodiment of the present invention provides;

Fig. 2 be the embodiment of the present invention provide in new generalized information system, the schematic flow sheet of the topological system of generating video watch-dog;

Fig. 3 is the schematic flow sheet of the video topological correlation method for supervising that the embodiment of the present invention provides.

Embodiment

In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with accompanying drawing, the present invention is further elaborated.Should be appreciated that embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.

Embodiment one

As illustrated in fig. 1 and 2, embodiments provide a kind of method for building up of video monitoring equipment topological system, comprise the steps

S1, gets the locating information of video monitoring equipment described in obtaining;

S2, by the locating information of described video monitoring equipment coupling in original generalized information system, generates the new generalized information system comprising the locating information of described video monitoring equipment, in described new generalized information system, generates the topological system of described video monitoring equipment;

S2 comprises the steps:

S201, obtains the location point a of all described video monitoring equipments, and is stored in data set A by described location point a;

S202, travels through described data set A, obtains with described location point a for the center of circle, is had a some p in the circle being radius with distance r, and is stored in data set P by a p;

S203, travels through described data set P, obtains the some p being positioned at the direction initialization of described location point a;

S204, obtains in S203 the ID of described video monitoring equipment corresponding to the some p of the described direction initialization got;

S205, the corresponding relation between the ID setting up described video monitoring equipment corresponding to the some p of the described direction initialization got in ID and the S203 of described video monitoring equipment corresponding to described location point a;

S206, travels through described data set A, repeats S203-S205, until traveled through data set A, generates the topological system of described video monitoring equipment.

The method for building up of the video monitoring equipment topological system adopting the embodiment of the present invention to provide, be support with GIS data, compared with using the method for artificial building topology system in prior art, the efficiency of the method is greatly improved, save a large amount of manpowers and practice, and, estimate with probability of use in prior art, compared with the method for the building topology system such as machine learning, the method does not have dependence to training data, not only efficiency is improved, and complexity obtains great reduction, operational efficiency and stability are greatly improved.

In the embodiment of the present invention, in S202, described distance r can set as follows: arrange according to the accessible monitoring range of described video monitoring equipment.

In said method, the monitoring range more clearly that the video monitoring equipment used at present generally can reach is 500 meters, so, in the present embodiment, 500 meters can be set as by apart from r.

In practical operation, can manually input this distance value by user, system can use the default value of the numerical value of user's input as each retrieval.

In a preferred embodiment of the present invention, described direction initialization can be East, West, South, North, the southeast, southwest, northeast and direction, eight, northwest.

Select above-mentioned direction initialization, the range of video of current goal video periphery can be made to contain comprehensively, thus obtain comprehensive video information.

In actual use, user can adopt nine video pictures to carry out, nine pictures adopt the mode of nine grids to carry out layout, midway film is the video pictures of current monitor point, other pictures carry out layout according to the mode in Shang Nan, Xia Bei, Zuo Xi, right east, adopt to carry out in this way monitoring to be convenient to the moving direction that user differentiates monitored object.

In the embodiment of the present invention, in S1, the locating information of described acquisition video monitoring equipment, is specially: utilize the adjunct around described video monitoring equipment to determine the locating information of described video monitoring equipment;

And/or

GPS is utilized to determine the locating information of described video monitoring equipment.

Determine that the locating information of video monitoring equipment is for the most accurate current locating information, also can well mate with GIS map simultaneously, is convenient to show in GIS map by GPS.

In the embodiment of the present invention, the locating information of described video monitoring equipment comprises: the ID of described video monitoring equipment, described video monitoring equipment place layer title, the latitude and longitude information of described video monitoring equipment and described video monitoring equipment title.

Above-mentioned locating information is mainly used in video monitoring equipment to carry out locating and displaying on map, can be determined the uniqueness of this equipment by video equipment ID.

Embodiment two

As shown in Figure 3, embodiments provide a kind of video topological correlation method for supervising, it is characterized in that, comprise the steps:

A1, utilizes the topological system of the method establishment video monitoring equipment described in embodiment one, and according to the topological system of described video monitoring equipment, obtains the topological system of video corresponding to described video monitoring equipment;

A2, obtains the target video of user monitoring;

A3, according to the topological system of described video, all videos that the target that acquisition and described target video have topological relation may occur, and carry out the coupling of the target of described user's identification and tracking, obtain next target video mated with the described target video in A2;

A4, using next target video described in getting in A3 as the described target video in A2, repeats A2-A3, terminates to user monitoring.

Above-mentioned pass connection monitoring method, its actual application can be:

After user selects by double-click video window the camera paid close attention to, the video of this camera is placed in central authorities by system, obtains the video forming multiple cameras of the surrounding of topological structure with this camera simultaneously, and they is all presented on interface.Video corresponding to these cameras can be assumed to pays close attention to next step region that may occur of target, then may occur the coupling of carrying out target in the video of the camera of target at these, determine to complete the video that target occurs and once monitor; Repeat above-mentioned steps, utilize topological system to complete tracing and monitoring to target.

In said method, the method for building up of video monitoring equipment topological system is effectively used in video topological correlation method for supervising, due to the method for building up of video monitoring equipment topological system, efficiency is not only increased compared with implementation method of the prior art, and complexity obtains great reduction, operational efficiency and stability are greatly improved, and therefore, make the intelligent monitoring scheme of multi-cam on a large scale more practical.

About performing step and the beneficial effect of the method for building up of video monitoring equipment topological system, in embodiment one, carry out detailed elaboration, do not repeated them here.

In a preferred embodiment of the present invention, in A2, two two field pictures can be adopted to cut algorithm mutually, obtain the target video of user monitoring.

Wherein, user is to identification and the tracking of paying close attention to target, there is multiple implementation algorithm, the most simply and comparatively practical algorithm is that two two field pictures subtract each other, namely can get rid of background extracting and go out moving target, identification for the target of known features is then need the clarification of objective according to grasping to carry out the matching analysis to the key frame of video, thus finds out the camera video scope that target appears at.

In actual mechanical process, user is in the process utilizing video monitoring system tracking target, and the video at select target place, system just according to the selection of user, can run relevant algorithm, thus obtains target video.

In a preferred embodiment of the present invention, in A3, the described topological system according to described video, all videos that the target that acquisition and described target video have topological relation may occur, be specifically as follows, according to the topological system of described video, add road information, all videos that the target that acquisition and described target video have topological relation may occur simultaneously.

In all videos that target may occur, if add road information, next step range of video that may occur of target can be reduced further, accelerate search speed, improve search accuracy rate.

By adopting technique scheme disclosed by the invention, obtain effect useful as follows: the method for building up of the video monitoring equipment topological system that the embodiment of the present invention provides, be support with GIS data, compared with using the method for artificial building topology system in prior art, the efficiency of the method is greatly improved, save a large amount of manpowers and practice, and, estimate with probability of use in prior art, the method of the building topology systems such as machine learning is compared, the method does not have dependence to training data, not only efficiency is improved, and complexity obtains great reduction, operational efficiency and stability are greatly improved, and be utilized effectively in the method pass connection monitoring method that can provide in the embodiment of the present invention, make the intelligent monitoring scheme of multi-cam on a large scale more practical.

Each embodiment in this specification all adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar part mutually see.

Those skilled in the art it should be understood that the sequential of the method step that above-described embodiment provides can carry out accommodation according to actual conditions, also can carry out according to actual conditions are concurrent.

The hardware that all or part of step in the method that above-described embodiment relates to can carry out instruction relevant by program has come, described program can be stored in the storage medium that computer equipment can read, for performing all or part of step described in the various embodiments described above method.Described computer equipment, such as: personal computer, server, the network equipment, intelligent mobile terminal, intelligent home device, wearable intelligent equipment, vehicle intelligent equipment etc.; Described storage medium, such as: the storage of RAM, ROM, magnetic disc, tape, CD, flash memory, USB flash disk, portable hard drive, storage card, memory stick, the webserver, network cloud storage etc.

Finally, also it should be noted that, in this article, the such as relational terms of first and second grades and so on is only used for an entity or operation to separate with another entity or operating space, and not necessarily requires or imply the relation that there is any this reality between these entities or operation or sequentially.And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the process of a series of key element, method, commodity or equipment and not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise by the intrinsic key element of this process, method, commodity or equipment.When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within process, method, commodity or the equipment comprising described key element and also there is other identical element.

The above is only the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the premise without departing from the principles of the invention; can also make some improvements and modifications, these improvements and modifications also should look protection scope of the present invention.

Claims (8)

1. a method for building up for video monitoring equipment topological system, is characterized in that, comprises the steps
S1, gets the locating information of video monitoring equipment described in obtaining;
S2, by the locating information of described video monitoring equipment coupling in original generalized information system, generates the new generalized information system comprising the locating information of described video monitoring equipment, in described new generalized information system, generates the topological system of described video monitoring equipment;
In S2, described in described new generalized information system, generate the topological system of described video monitoring equipment, comprise the steps:
S201, obtains the location point a of all described video monitoring equipments, and is stored in data set A by described location point a;
S202, travels through described data set A, obtains with described location point a for the center of circle, is had a some p in the circle being radius with distance r, and is stored in data set P by a p;
S203, travels through described data set P, obtains the some p being positioned at the direction initialization of described location point a;
S204, obtains in S203 the ID of described video monitoring equipment corresponding to the some p of the described direction initialization got;
S205, the corresponding relation between the ID setting up described video monitoring equipment corresponding to the some p of the described direction initialization got in ID and the S203 of described video monitoring equipment corresponding to described location point a;
S206, travels through described data set A, repeats S203-S205, until traveled through data set A, generates the topological system of described video monitoring equipment.
2. the method for building up of video monitoring equipment topological system according to claim 1, is characterized in that, in S202, described distance r sets as follows: arrange according to the accessible monitoring range of described video monitoring equipment.
3. the method for building up of video monitoring equipment topological system according to claim 1, is characterized in that, described direction initialization is East, West, South, North, the southeast, southwest, northeast and direction, eight, northwest.
4. the method for building up of video monitoring equipment topological system according to claim 1, it is characterized in that, in S1, the locating information of described acquisition video monitoring equipment, is specially: utilize the adjunct around described video monitoring equipment to determine the locating information of described video monitoring equipment;
And/or
GPS is utilized to determine the locating information of described video monitoring equipment.
5. the method for building up of video monitoring equipment topological system according to claim 1, it is characterized in that, the locating information of described video monitoring equipment comprises: the ID of described video monitoring equipment, described video monitoring equipment place layer title, the latitude and longitude information of described video monitoring equipment and described video monitoring equipment title.
6. a video topological correlation method for supervising, is characterized in that, comprises the steps:
A1, utilizes the topological system of the method establishment video monitoring equipment described in any one of claim 1-6, and according to the topological system of described video monitoring equipment, obtains the topological system of video corresponding to described video monitoring equipment;
A2, obtains the target video of user monitoring;
A3, according to the topological system of described video, all videos that the target that acquisition and described target video have topological relation may occur, and carry out the coupling of the target of described user's identification and tracking, obtain next target video mated with the described target video in A2;
A4, using next target video described in getting in A3 as the described target video in A2, repeats A2-A3, terminates to user monitoring.
7. video topological correlation method for supervising according to claim 6, is characterized in that, in A2, adopts two two field pictures to cut algorithm mutually, obtains the target video of user monitoring.
8. video topological correlation method for supervising according to claim 6, it is characterized in that, in A3, the described topological system according to described video, all videos that the target that acquisition and described target video have topological relation may occur, are specially, according to the topological system of described video, add road information, all videos that the target that acquisition and described target video have topological relation may occur simultaneously.
CN201510886009.1A 2015-12-04 2015-12-04 Establishment method for topological system of video monitoring equipment and associated monitoring method CN105472333A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510886009.1A CN105472333A (en) 2015-12-04 2015-12-04 Establishment method for topological system of video monitoring equipment and associated monitoring method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510886009.1A CN105472333A (en) 2015-12-04 2015-12-04 Establishment method for topological system of video monitoring equipment and associated monitoring method

Publications (1)

Publication Number Publication Date
CN105472333A true CN105472333A (en) 2016-04-06

Family

ID=55609556

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510886009.1A CN105472333A (en) 2015-12-04 2015-12-04 Establishment method for topological system of video monitoring equipment and associated monitoring method

Country Status (1)

Country Link
CN (1) CN105472333A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106303442A (en) * 2016-08-26 2017-01-04 浙江大华技术股份有限公司 Follow the trail of multi-path topology method for building up, destination object method for tracing and equipment
CN107689054A (en) * 2017-08-24 2018-02-13 北京航空航天大学 A kind of polyphaser topology connected graph is established and across camera subject tracking
CN108418779A (en) * 2017-02-10 2018-08-17 华为技术有限公司 A kind of method and relevant device of the real-time Communication for Power in Internet of Things
CN108600697A (en) * 2018-04-23 2018-09-28 佛山市长郡科技有限公司 A kind of environmental sanitation system based on Internet of Things

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101419594A (en) * 2007-10-26 2009-04-29 上海宝信软件股份有限公司 The GIS map primitive control device
CN102263933A (en) * 2010-05-25 2011-11-30 杭州华三通信技术有限公司 Intelligent monitoring method and device
CN102724482A (en) * 2012-06-18 2012-10-10 西安电子科技大学 Intelligent visual sensor network moving target relay tracking system based on GPS (global positioning system) and GIS (geographic information system)
CN103716587A (en) * 2013-12-12 2014-04-09 深圳先进技术研究院 Video tracking method based on GIS network analysis and buffer area analysis
CN104581017A (en) * 2013-10-21 2015-04-29 北京航天长峰科技工业集团有限公司 Security and protection resource integration and relevance application method
CN104581001A (en) * 2013-10-12 2015-04-29 北京航天长峰科技工业集团有限公司 Related monitoring method for large range multiple cameras moving objects

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101419594A (en) * 2007-10-26 2009-04-29 上海宝信软件股份有限公司 The GIS map primitive control device
CN102263933A (en) * 2010-05-25 2011-11-30 杭州华三通信技术有限公司 Intelligent monitoring method and device
CN102724482A (en) * 2012-06-18 2012-10-10 西安电子科技大学 Intelligent visual sensor network moving target relay tracking system based on GPS (global positioning system) and GIS (geographic information system)
CN104581001A (en) * 2013-10-12 2015-04-29 北京航天长峰科技工业集团有限公司 Related monitoring method for large range multiple cameras moving objects
CN104581017A (en) * 2013-10-21 2015-04-29 北京航天长峰科技工业集团有限公司 Security and protection resource integration and relevance application method
CN103716587A (en) * 2013-12-12 2014-04-09 深圳先进技术研究院 Video tracking method based on GIS network analysis and buffer area analysis

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106303442A (en) * 2016-08-26 2017-01-04 浙江大华技术股份有限公司 Follow the trail of multi-path topology method for building up, destination object method for tracing and equipment
CN106303442B (en) * 2016-08-26 2020-05-26 浙江大华技术股份有限公司 Tracking path topological structure establishing method, target object tracking method and target object tracking equipment
US10742936B2 (en) 2016-08-26 2020-08-11 Zhejiang Dahua Technology Co., Ltd. Methods and systems for object monitoring
CN108418779A (en) * 2017-02-10 2018-08-17 华为技术有限公司 A kind of method and relevant device of the real-time Communication for Power in Internet of Things
CN108418779B (en) * 2017-02-10 2020-12-08 华为技术有限公司 Method for real-time communication in Internet of things and related equipment
CN107689054A (en) * 2017-08-24 2018-02-13 北京航空航天大学 A kind of polyphaser topology connected graph is established and across camera subject tracking
CN108600697A (en) * 2018-04-23 2018-09-28 佛山市长郡科技有限公司 A kind of environmental sanitation system based on Internet of Things

Similar Documents

Publication Publication Date Title
Lv et al. Managing big city information based on WebVRGIS
Chen et al. Crowd map: Accurate reconstruction of indoor floor plans from crowdsourced sensor-rich videos
Xu et al. Human mobility and socioeconomic status: Analysis of Singapore and Boston
Dickinson et al. Indoor positioning of shoppers using a network of Bluetooth Low Energy beacons
Zheng Location-based social networks: Users
Li et al. From digital earth to smart earth
US9497275B2 (en) System and method for generating three-dimensional geofeeds, orientation-based geofeeds, and geofeeds based on ambient conditions based on content provided by social media content providers
Zhou et al. Discovering personal gazetteers: an interactive clustering approach
CN104813316B (en) The mobile device recommended with localization application program
US9877162B2 (en) Systems and methods for generating a user location history
US9460113B2 (en) System and method for recommending location-based keyword
US8275649B2 (en) Mining life pattern based on location history
CN104994425A (en) Video labeling method and device
JP5878555B2 (en) View-dependent technology to determine user interest in 3D application features
US20140176606A1 (en) Recording and visualizing images using augmented image data
US9026513B2 (en) Associating digital images with waypoints
US10715949B2 (en) Determining timing for determination of applicable geo-fences
US20180181568A1 (en) Providing a thumbnail image that follows a main image
US20200143681A1 (en) Parking Identification and Availability Prediction
CN107094319A (en) A kind of high-precision indoor and outdoor fusion alignment system and method
Porter et al. Wide-area motion imagery
CN105008959A (en) Generating geofence via analysis of GPS fix utilization distribution
WO2015124082A1 (en) Electronic travel album generating method and system
Jendryke et al. Putting people in the picture: Combining big location-based social media data and remote sensing imagery for enhanced contextual urban information in Shanghai
Guo et al. Digital Earth: decadal experiences and some thoughts

Legal Events

Date Code Title Description
PB01 Publication
C06 Publication
SE01 Entry into force of request for substantive examination
C10 Entry into substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20160406

RJ01 Rejection of invention patent application after publication