CN104331929A - Crime scene reduction method based on video map and augmented reality - Google Patents
Crime scene reduction method based on video map and augmented reality Download PDFInfo
- Publication number
- CN104331929A CN104331929A CN201410594135.5A CN201410594135A CN104331929A CN 104331929 A CN104331929 A CN 104331929A CN 201410594135 A CN201410594135 A CN 201410594135A CN 104331929 A CN104331929 A CN 104331929A
- Authority
- CN
- China
- Prior art keywords
- video
- map
- augmented reality
- city
- information
- 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.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T19/00—Manipulating 3D models or images for computer graphics
- G06T19/20—Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Architecture (AREA)
- Human Computer Interaction (AREA)
- Computer Graphics (AREA)
- Computer Hardware Design (AREA)
- Software Systems (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Processing Or Creating Images (AREA)
Abstract
The invention relates to the city safety management field and concretely discloses a crime scene reduction method based on video map and augmented reality, and the method comprises the steps as follows: based on the space position information, building the coordinate city video monitoring network to obtain the video including the position information, correlating the video monitoring device with the data server; when the video target appears, obtaining the geography coordinate value of the video target in different frames of the city video monitoring network for forming the movement track of the video target; projecting the video and the video target on the electric map for forming the three-dimensional city video map; according to the real scenes of the video and video target on the city video map, building the virtual object, fusing the virtual object with the real scenes of city video map; displaying the augmented reality information to the user, having interaction with the user and changing the enhanced information. The video map is fused with the augmented reality technology, so that the crime scene can be displayed intuitively and realistically for offering effective basis for investigation.
Description
Technical field
The present invention relates to urban safety management technical field, particularly a kind of scene of a crime method of reducing based on video map and augmented reality.
Background technology
Reappear scene of a crime by technological means, handle a case in public security, court's evidence obtaining, significant in training and teaching.But, the means taked at present normally by tradition shooting, take pictures and the method such as picture, there is certain limitation, such as cannot spatial relationship intuitively between represented object, need add a large amount of explanatory note explain, on-the-spot three-dimensional true effect cannot be reflected, Interactive control can not be responded, helpless etc. for reappearing simulation crime that personage and scene combine.
And prior art can capture video data by video monitoring, again by video mapping and coordinatograph, by monitor video by its locus, project on electronic chart, form video map, and interactive query and tracing and positioning destination object can be carried out according to video content and locus.
In addition, augmented reality is in conjunction with technology such as computer graphics, image procossing, machine vision, by equipment such as display device, graphics device, sensor, tracker, interactive tools, utilize a kind of technology that virtual image, video and Word message strengthen real scene, realize the fusion of real world and virtual world, make user as real-time, interactive natural in true environment.
Therefore, video surveillance network is combined with augmented reality, can carry out to show intuitively true effect and the spatial relationship of scene of a crime, reappear crime scene.
Summary of the invention
The present invention is intended to overcome the technology of existing scene of a crime reduction cannot the technological deficiency such as the true effect of visualize, spatial relationship between reflection object, provides a kind of scene of a crime method of reducing based on video map and augmented reality.
For achieving the above object, the present invention is by the following technical solutions: the invention provides the scene of a crime method of reducing based on video map and augmented reality, comprise the following steps:
S1, based on spatial positional information, set up the city video monitoring network of coordinatograph, obtain the video comprising positional information, and by each video monitoring equipment and data server interrelated;
The geographic coordinate values of S2, acquisition video object different frame in described city video monitoring network, forms the motion track of described video object;
S3, based on described spatial positional information, described video and described video object to be projected on electronic chart, and described video and described video object are carried out angular transformation and stretched vertically process, form the city video map of three-dimensional;
S4, according to described video and described video object the real scene on the video map of city, set up and comprise the virtual objects of enhancing information, the real scene on described virtual objects and described city video map is merged, carrys out augmented reality;
S5, by the information displaying of described augmented reality to user, and with described user interactions, convert described enhancing information according to interactive information.
In some embodiments, described step S1 comprises following step:
In S11, mapping acquisition city, the geographic coordinate of each video monitoring equipment, centered by described each video monitoring equipment, according to monitoring range, sets up the space coordinates of video surveillance network;
S12, the unique point selected in the monitoring range of described each video monitoring equipment, survey and draw, obtain the positional information of other above ground portions, forms the video surveillance network of coordinatograph;
S13, by described each video monitoring equipment and server interrelated, obtain and comprise the video of geographical location information.
In some embodiments, in described step S11, adopt the instrument of surveying and mappings such as three-dimensional laser scanner, spirit-leveling instrument, GPS hand-held set, steel ruler, stopwatch, transit, the geographic coordinate of each video monitoring equipment is surveyed and drawn.
In some embodiments, described step S2 comprises:
S21, pixel coordinate according to described video object, obtain the geographic coordinate values of described video object;
S22, by described city video monitoring network, follow the trail of described video object, form the motion track of described video object.
In some embodiments, described step S3 comprises:
S31, the described video including geographical location information obtained by described video surveillance network and described video object video are decomposed into the set of some continuous static videos;
S32, the key position point selected in the set of described continuous static video, and along decomposition path-ways selecting video key frame in video after disassembly;
S33, according to streetscape pattern, coordinate centered by shooting point, by the geographical position coordinates of video in the space coordinates of video capture orientation and video surveillance network, projects in spherical coordinate, generates a video flowing space along mobile route;
S34, the video in described video flowing space is carried out continuously on electronic chart by display screen, the display of dynamic video and inquiry.
In some embodiments, described step S4 comprises:
S41, obtain the video data of real scene on city map, and according to the video content of real scene, set up enhancing information;
S42, set up the true geographic coordinate information of described video and the transformational relation of Virtual Space coordinate system, virtual objects is merged on position corresponding to the real scene of video data, and by information that display device display virtual objects and real scene combine together.
In some embodiments, S51, the information of described augmented reality is shown to user by the helmet, anaglyph spectacles, the projection display, mobile display or computer monitor;
S52, with user carry out eye tracking, click, movement, the described virtual objects of rotation, gesture identification mutual, convert described enhancing information according to interactive information.
Beneficial effect of the present invention is: by the combine with technique by video map and augmented reality, make scene of a crime effective reproduction intuitively true to nature, achieve multi-angle observation and partial enlargement, give expression to the spatial relation between object in situ more intuitively, thus provide effective foundation for solving a case.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the scene of a crime method of reducing that the present invention is based on video map and augmented reality;
Fig. 2 is the process flow diagram of a specific embodiment of the scene of a crime method of reducing that the present invention is based on video map and augmented reality.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and the specific embodiments, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, and be not construed as limiting the invention.
Thinking of the present invention is: first set up scene of a crime electronic chart, is projected in electronic chart, carries out accuracy registration by reference mark, monitor video is carried out angular transformation and stretched vertically by video, video object, makes it to have display stereoscopic sensation; Then above-mentioned positioning video is positioned augmented reality process by augmented reality module, add Word message and action button, crime target and victim's behavior are intuitively shown.
Refer to Fig. 1, for the present invention is based on the process flow diagram of the scene of a crime method of reducing of video map and augmented reality.Realized by following step: first perform step S1, based on spatial positional information, set up the city video monitoring network of coordinatograph, obtain and comprise the video of positional information, and by each video monitoring equipment and data server interrelated.Perform step S2, obtain the geographic coordinate values of video object different frame in described city video monitoring network, form the motion track of described video object.Perform step S3, based on described spatial positional information, described video and described video object are projected on electronic chart, and described video and described video object are carried out angular transformation and stretched vertically process, form the city video map of three-dimensional.Perform step S4, the real scene on the video map of city according to described video and described video object, set up the virtual objects comprising enhancing information, the real scene on described virtual objects and described city video map is merged, carrys out augmented reality.Perform step S5, by the information displaying of described augmented reality to user, and with described user interactions, convert described enhancing information according to interactive information.
Refer to Fig. 2, for the present invention is based on the process flow diagram of a scene of a crime method of reducing specific embodiment of video map and augmented reality.Detailed process is: perform step S11, is obtained the geographic coordinate of each video monitoring equipment in city, centered by described each video monitoring equipment, according to monitoring range, set up the space coordinates of video surveillance network by mapping.Preferably, adopt the instrument of surveying and mappings such as three-dimensional laser scanner, spirit-leveling instrument, GPS hand-held set, steel ruler, stopwatch, transit, the geographic coordinate of each video monitoring equipment is surveyed and drawn.
Perform step S12, select the unique point in the monitoring range of described each video monitoring equipment, survey and draw, obtain the positional information of other above ground portions, form the video surveillance network of coordinatograph.By can obtain the geographic coordinate of unique point to the mapping of unique point, the imaging array of the image collected by video monitoring equipment carries out projective transformation and coordinate conversion, according to the corresponding relation of the pixel of unique point and the actual geographic coordinate of unique point, obtain the actual geographic coordinate that in imaging array, other pixel is corresponding, form the video surveillance network of coordinatograph.Perform step S13, will described each video monitoring equipment and server interrelated, unified management, acquisition comprises the video of geographical location information.The video data including positional information obtained by each video monitoring equipment is unified to be stored in video database, each video monitoring equipment is connected with data server, data server unification manages each video monitoring equipment, controls the monitor state of each video monitoring equipment.
Perform step S21, according to the pixel coordinate of described video object, obtain the geographic coordinate values of described video object.Due to the corresponding relation of the pixel coordinate and true geographic coordinate that have obtained each video monitoring equipment imaging array in step s 12, therefore, after the pixel coordinate obtaining video object, according to the pixel coordinate of imaging array and the corresponding relation of true geographic coordinate, the true geographical position coordinates of video object can be tried to achieve.Perform step S22, by described city video monitoring network, follow the trail of described video object, form the motion track of described video object.After the true geographical position coordinates obtaining video object, transferred the monitored picture of the video monitoring equipment corresponding with described geographical position coordinates by data server, and follow the trail of video object, form the motion track of video object.
Perform step S31, the video data including geographical location information obtained by video surveillance network and video object video are decomposed into the set of some continuous static videos.Perform step S32, select key position point, and along decomposition path-ways selecting video key frame in video after disassembly; Perform step S33, according to streetscape pattern, coordinate centered by shooting point, by the geographical position coordinates of video in the space coordinates of video capture orientation and video surveillance network, projects in spherical coordinate, generates a video flowing space along mobile route.Preferably, video is carried out angular transformation and stretched vertically process, formed and there is relief city video map.Perform step S34, on electronic chart, the video in video flowing space carried out continuously by display screen, the display of dynamic video with inquire about, interactive query and tracing and positioning can be carried out according to the locus of video data.Thus complete the foundation of coordinatograph city video map and the visual tracking of video object, realize the holography to space environment, video object, dynamically, really show.
Perform step S41, obtain the video data of real scene on city map, and according to the video content of real scene, set up the virtual objects comprising enhancing information.The virtual objects comprising enhancing information is set up by computing machine, enhancing information comprises the information such as Word message, Video processing mode (comprise repeat playing, speed is play, puts upside down, fixes and amplified, measures, translation-angle etc.), marker button that place that counterweight point illustrates makes an explanation, can be the dummy object coexisted with true environment, also can be the non-geometry information of in esse object.Perform step S42, set up the true geographic coordinate information of video and the transformational relation of Virtual Space coordinate system, virtual objects is merged on position corresponding to the real scene of video data, and by information that display device display virtual objects and real scene combine together.
Perform step S51, by the information displaying of described augmented reality to user.By observation display devices such as the helmet, anaglyph spectacles, the projection display, mobile display or computer monitors, the data message after fusion is shown to user.The real scene that storage generates and the data that virtual objects merges.Perform step S52, carry out alternately, converting described enhancing information with user.Undertaken alternately by registration, tracking and user.Describedly comprise the following aspects alternately with user:
According to the user visual field variation detected in real time, rebuild the corresponding relation of Virtual Space coordinate system and true geographic coordinate system; By the conversion of electronic three-dimensional map Accreditation System implementation space coordinate system.
According to user's direction of visual lines, the mapping position in projection plane adds respective virtual object, and these information are presented at fluoroscopic tram in real time.Preferably, the motion of infrared camera technology and corneal reflection Technical Follow-Up eyeball can be utilized, calculate direction of visual lines.
According to user operation, virtual objects clicked, move, the action such as rotation mutual.As preferably, realize the operation of user to virtual objects by virtual reality hardware and software programming, described virtual reality hardware comprises data glove etc.
Adopt mutual, mutual based on Video processing mode of gesture identification, as generated button menu etc. on marker.
User can position broadcasting by scopes such as the AR helmet, glasses to video and enhancing information, makes user be in scene of a crime, crime target and victim's behavior in viewing video.User is when observing, and when sight line transfers to another scene from a scene, the relation of system reconstructing virtual coordinates and true coordinate, the enhancing information of virtual objects also changes thereupon, thus shows the enhancing information of another scene corresponding.User can click the operations such as virtual push button carries out repeat playing to video, speed is play, puts upside down, fixes and amplified, measures, translation-angle as required.
By the present embodiment, construct virtual scene, true to nature for scene of a crime presented, achieve multi-angle observation and partial enlargement, to needing the place that stresses, by Word message and video information superimposed.Thus solve the problems such as real scene Crime Information cannot be preserved, photo is not directly perceived, be convenient to repeatedly study scene, foundation is provided for solving a case; As course case, can train for police universities teaching and new police simultaneously.
The above the specific embodiment of the present invention, does not form limiting the scope of the present invention.Any various other done by technical conceive of the present invention change and distortion accordingly, all should be included in the protection domain of the claims in the present invention.
Claims (7)
1., based on the scene of a crime method of reducing of video map and augmented reality, it is characterized in that, comprise the following steps:
S1, based on spatial positional information, set up the city video monitoring network of coordinatograph, obtain the video comprising positional information, and by each video monitoring equipment and data server interrelated;
The geographic coordinate values of S2, acquisition video object different frame in described city video monitoring network, forms the motion track of described video object;
S3, based on described spatial positional information, described video and described video object to be projected on electronic chart, and described video and described video object are carried out angular transformation and stretched vertically process, form the city video map of three-dimensional;
S4, according to described video and described video object the real scene on the video map of city, set up and comprise the virtual objects of enhancing information, the real scene on described virtual objects and described city video map is merged, carrys out augmented reality;
S5, by the information displaying of described augmented reality to user, and with described user interactions, convert described enhancing information according to interactive information.
2., as claimed in claim 1 based on the scene of a crime method of reducing of video map and augmented reality, it is characterized in that, described step S1 comprises:
In S11, mapping acquisition city, the geographic coordinate of each video monitoring equipment, centered by described each video monitoring equipment, according to monitoring range, sets up the space coordinates of video surveillance network;
S12, the unique point selected in the monitoring range of described each video monitoring equipment, survey and draw, obtain the positional information of other above ground portions, forms the video surveillance network of coordinatograph;
S13, by described each video monitoring equipment and server interrelated, obtain and comprise the video of geographical location information.
3. as claimed in claim 2 based on the scene of a crime method of reducing of video map and augmented reality, it is characterized in that, in described step S11, adopt the instrument of surveying and mappings such as three-dimensional laser scanner, spirit-leveling instrument, GPS hand-held set, steel ruler, stopwatch, transit, the geographic coordinate of each video monitoring equipment is surveyed and drawn.
4., as claimed in claim 1 based on the scene of a crime method of reducing of video map and augmented reality, it is characterized in that, described step S2 comprises:
S21, pixel coordinate according to described video object, obtain the geographic coordinate values of described video object;
S22, by described city video monitoring network, follow the trail of described video object, form the motion track of described video object.
5., as claimed in claim 1 based on the scene of a crime method of reducing of video map and augmented reality, it is characterized in that, described step S3 comprises:
S31, the described video including geographical location information obtained by described video surveillance network and described video object video are decomposed into the set of some continuous static videos;
S32, the key position point selected in the set of described continuous static video, and along decomposition path-ways selecting video key frame in video after disassembly;
S33, according to streetscape pattern, coordinate centered by shooting point, by the geographical position coordinates of video in the space coordinates of video capture orientation and video surveillance network, projects in spherical coordinate, generates a video flowing space along mobile route;
S34, the video in described video flowing space is carried out continuously on electronic chart by display screen, the display of dynamic video and inquiry.
6., as claimed in claim 1 based on the scene of a crime method of reducing of video map and augmented reality, it is characterized in that, described step S4 comprises:
S41, obtain the video data of real scene on city map, and according to the video content of real scene, set up the virtual objects comprising enhancing information;
S42, set up the true geographic coordinate information of described video and the transformational relation of Virtual Space coordinate system, described virtual objects is merged on position corresponding to the real scene of video data, and shows by display device the information that described virtual objects and described real scene combine together.
7., as claimed in claim 1 based on the scene of a crime method of reducing of video map and augmented reality, it is characterized in that, described step S5 comprises the following steps:
S51, the information of described augmented reality is shown to user by the helmet, anaglyph spectacles, the projection display, mobile display or computer monitor;
S52, with user carry out eye tracking, click, movement, the described virtual objects of rotation, gesture identification mutual, convert described enhancing information according to interactive information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410594135.5A CN104331929B (en) | 2014-10-29 | 2014-10-29 | Scene of a crime restoring method based on video map and augmented reality |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410594135.5A CN104331929B (en) | 2014-10-29 | 2014-10-29 | Scene of a crime restoring method based on video map and augmented reality |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104331929A true CN104331929A (en) | 2015-02-04 |
| CN104331929B CN104331929B (en) | 2018-02-02 |
Family
ID=52406649
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410594135.5A Active CN104331929B (en) | 2014-10-29 | 2014-10-29 | Scene of a crime restoring method based on video map and augmented reality |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104331929B (en) |
Cited By (26)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105100501A (en) * | 2015-08-27 | 2015-11-25 | 黑龙江科技大学 | Internet of Things based mobile phone computing system |
| CN105261041A (en) * | 2015-10-19 | 2016-01-20 | 联想(北京)有限公司 | Information processing method and electronic device |
| CN105468666A (en) * | 2015-08-11 | 2016-04-06 | 中国科学院软件研究所 | Video content visual analysis method based on map metaphor |
| CN105847756A (en) * | 2016-05-13 | 2016-08-10 | 深圳先进技术研究院 | Position spot matching-based video identifying, tracking and positioning system |
| CN105933655A (en) * | 2016-05-13 | 2016-09-07 | 深圳先进技术研究院 | Video and WIFI mixed positioning method and system |
| CN106127858A (en) * | 2016-06-24 | 2016-11-16 | 联想(北京)有限公司 | A kind of information processing method and electronic equipment |
| CN106412524A (en) * | 2016-11-09 | 2017-02-15 | 四川诚品电子商务有限公司 | Remote case trial system |
| CN106777119A (en) * | 2016-12-16 | 2017-05-31 | 福建福光股份有限公司 | Online synchronous traveling method |
| CN107197200A (en) * | 2017-05-22 | 2017-09-22 | 北斗羲和城市空间科技（北京）有限公司 | It is a kind of to realize the method and device that monitor video is shown |
| CN107784693A (en) * | 2017-09-22 | 2018-03-09 | 西安点云生物科技有限公司 | A kind of information processing method and device |
| CN108259827A (en) * | 2018-01-10 | 2018-07-06 | 中科创达软件股份有限公司 | A kind of method, apparatus for realizing security protection, AR equipment and system |
| CN108320331A (en) * | 2017-01-17 | 2018-07-24 | 上海掌门科技有限公司 | A kind of method and apparatus for the augmented reality video information generating user's scene |
| CN108616718A (en) * | 2016-12-13 | 2018-10-02 | 杭州海康威视系统技术有限公司 | Monitor display methods, apparatus and system |
| CN108712362A (en) * | 2018-03-15 | 2018-10-26 | 高新兴科技集团股份有限公司 | A kind of video map automotive engine system |
| CN108846378A (en) * | 2018-07-03 | 2018-11-20 | 百度在线网络技术（北京）有限公司 | Sign Language Recognition processing method and processing device |
| CN108874911A (en) * | 2018-05-28 | 2018-11-23 | 广西师范学院 | Suspect's position predicting method based on regional environment Yu crime dramas data |
| CN108932051A (en) * | 2017-05-24 | 2018-12-04 | 腾讯科技（北京）有限公司 | augmented reality image processing method, device and storage medium |
| CN110009561A (en) * | 2019-04-10 | 2019-07-12 | 南京财经大学 | A kind of monitor video target is mapped to the method and system of three-dimensional geographical model of place |
| CN110191087A (en) * | 2019-04-19 | 2019-08-30 | 特斯联（北京）科技有限公司 | A kind of monitoring device connection control method, equipment and server |
| CN110191424A (en) * | 2019-05-16 | 2019-08-30 | 武汉数矿科技股份有限公司 | A kind of orbit generation method and device of specific suspect |
| CN110515452A (en) * | 2018-05-22 | 2019-11-29 | 腾讯科技（深圳）有限公司 | Image processing method, device, storage medium and computer equipment |
| IT201800010914A1 (en) | 2018-12-10 | 2020-06-10 | Legalgenetics S R L | INTERACTIVE DIDACTIC SYSTEM AND METHOD OF DIGITAL REPRODUCTION AND ANALYSIS OF ANY CRIME SCENE |
| CN111309967A (en) * | 2020-01-23 | 2020-06-19 | 北京旋极伏羲科技有限公司 | Video spatial information query method based on grid coding |
| CN111541876A (en) * | 2020-05-18 | 2020-08-14 | 上海未高科技有限公司 | Method for realizing high-altitude cloud anti-AR technology |
| CN111931830A (en) * | 2020-07-27 | 2020-11-13 | 泰瑞数创科技(北京)有限公司 | Video fusion processing method and device, electronic equipment and storage medium |
| CN113157088A (en) * | 2021-03-18 | 2021-07-23 | 浙江通鹏智能科技有限公司 | Criminal investigation virtual scene-based data processing method and device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101246600A (en) * | 2008-03-03 | 2008-08-20 | 北京航空航天大学 | Method for real-time generating reinforced reality surroundings by spherical surface panoramic camera |
| CN101339654A (en) * | 2007-07-04 | 2009-01-07 | 北京威亚视讯科技有限公司 | Reinforced real environment three-dimensional registering method and system based on mark point |
| US20140002421A1 (en) * | 2012-07-02 | 2014-01-02 | Electronics And Telecommunications Research Institute | User interface device for projection computer and interface method using the same |
-
2014
- 2014-10-29 CN CN201410594135.5A patent/CN104331929B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101339654A (en) * | 2007-07-04 | 2009-01-07 | 北京威亚视讯科技有限公司 | Reinforced real environment three-dimensional registering method and system based on mark point |
| CN101246600A (en) * | 2008-03-03 | 2008-08-20 | 北京航空航天大学 | Method for real-time generating reinforced reality surroundings by spherical surface panoramic camera |
| US20140002421A1 (en) * | 2012-07-02 | 2014-01-02 | Electronics And Telecommunications Research Institute | User interface device for projection computer and interface method using the same |
Non-Patent Citations (5)
| Title |
|---|
| FEINER S等: "A touring machine:Prototyping 3D mobile augmented reality systems for exploring the urban environment Proceedings of International Symposium on Wearable Computers", 《CAMBRIDGE. UK: IEEE》 * |
| 明德烈等: "增强现实中的虚实注册技术研究", 《中国图象图形学报》 * |
| 曾浩: "基于android平台的增强现实导航软件的设计与实现", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
| 董子龙: "面向增强现实的实时三维跟踪", 《中国博士学位论文全文数据库 信息科技辑》 * |
| 赵新灿等: "基于视线跟踪的增强现实交互", 《光电工程》 * |
Cited By (39)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105468666A (en) * | 2015-08-11 | 2016-04-06 | 中国科学院软件研究所 | Video content visual analysis method based on map metaphor |
| CN105468666B (en) * | 2015-08-11 | 2019-09-17 | 中国科学院软件研究所 | A kind of video content visual analysis method based on map metaphor |
| CN105100501A (en) * | 2015-08-27 | 2015-11-25 | 黑龙江科技大学 | Internet of Things based mobile phone computing system |
| CN105100501B (en) * | 2015-08-27 | 2018-05-18 | 黑龙江科技大学 | A kind of mobile phone computing system based on Internet of Things |
| CN105261041A (en) * | 2015-10-19 | 2016-01-20 | 联想(北京)有限公司 | Information processing method and electronic device |
| CN105847756A (en) * | 2016-05-13 | 2016-08-10 | 深圳先进技术研究院 | Position spot matching-based video identifying, tracking and positioning system |
| CN105933655A (en) * | 2016-05-13 | 2016-09-07 | 深圳先进技术研究院 | Video and WIFI mixed positioning method and system |
| CN105847756B (en) * | 2016-05-13 | 2018-12-14 | 深圳先进技术研究院 | Video identification tracking location system based on the dotted fitting in position |
| CN106127858A (en) * | 2016-06-24 | 2016-11-16 | 联想(北京)有限公司 | A kind of information processing method and electronic equipment |
| CN106412524A (en) * | 2016-11-09 | 2017-02-15 | 四川诚品电子商务有限公司 | Remote case trial system |
| CN108616718A (en) * | 2016-12-13 | 2018-10-02 | 杭州海康威视系统技术有限公司 | Monitor display methods, apparatus and system |
| CN106777119A (en) * | 2016-12-16 | 2017-05-31 | 福建福光股份有限公司 | Online synchronous traveling method |
| CN108320331A (en) * | 2017-01-17 | 2018-07-24 | 上海掌门科技有限公司 | A kind of method and apparatus for the augmented reality video information generating user's scene |
| CN108320331B (en) * | 2017-01-17 | 2021-10-22 | 上海掌门科技有限公司 | Method and equipment for generating augmented reality video information of user scene |
| CN107197200A (en) * | 2017-05-22 | 2017-09-22 | 北斗羲和城市空间科技（北京）有限公司 | It is a kind of to realize the method and device that monitor video is shown |
| CN108932051A (en) * | 2017-05-24 | 2018-12-04 | 腾讯科技（北京）有限公司 | augmented reality image processing method, device and storage medium |
| CN107784693A (en) * | 2017-09-22 | 2018-03-09 | 西安点云生物科技有限公司 | A kind of information processing method and device |
| CN107784693B (en) * | 2017-09-22 | 2021-06-04 | 西安点云生物科技有限公司 | Information processing method and device |
| CN108259827A (en) * | 2018-01-10 | 2018-07-06 | 中科创达软件股份有限公司 | A kind of method, apparatus for realizing security protection, AR equipment and system |
| CN108259827B (en) * | 2018-01-10 | 2020-07-07 | 中科创达软件股份有限公司 | Method, device, AR equipment and system for realizing security |
| CN108712362B (en) * | 2018-03-15 | 2021-03-16 | 高新兴科技集团股份有限公司 | Video map engine system |
| CN108712362A (en) * | 2018-03-15 | 2018-10-26 | 高新兴科技集团股份有限公司 | A kind of video map automotive engine system |
| CN110515452B (en) * | 2018-05-22 | 2022-02-22 | 腾讯科技（深圳）有限公司 | Image processing method, image processing device, storage medium and computer equipment |
| CN110515452A (en) * | 2018-05-22 | 2019-11-29 | 腾讯科技（深圳）有限公司 | Image processing method, device, storage medium and computer equipment |
| CN108874911B (en) * | 2018-05-28 | 2019-06-04 | 广西师范学院 | Suspect's position predicting method based on regional environment Yu crime dramas data |
| CN108874911A (en) * | 2018-05-28 | 2018-11-23 | 广西师范学院 | Suspect's position predicting method based on regional environment Yu crime dramas data |
| CN108846378A (en) * | 2018-07-03 | 2018-11-20 | 百度在线网络技术（北京）有限公司 | Sign Language Recognition processing method and processing device |
| IT201800010914A1 (en) | 2018-12-10 | 2020-06-10 | Legalgenetics S R L | INTERACTIVE DIDACTIC SYSTEM AND METHOD OF DIGITAL REPRODUCTION AND ANALYSIS OF ANY CRIME SCENE |
| CN110009561A (en) * | 2019-04-10 | 2019-07-12 | 南京财经大学 | A kind of monitor video target is mapped to the method and system of three-dimensional geographical model of place |
| CN110009561B (en) * | 2019-04-10 | 2023-04-18 | 南京财经大学 | Method and system for mapping surveillance video target to three-dimensional geographic scene model |
| CN110191087A (en) * | 2019-04-19 | 2019-08-30 | 特斯联（北京）科技有限公司 | A kind of monitoring device connection control method, equipment and server |
| CN110191424A (en) * | 2019-05-16 | 2019-08-30 | 武汉数矿科技股份有限公司 | A kind of orbit generation method and device of specific suspect |
| CN111309967A (en) * | 2020-01-23 | 2020-06-19 | 北京旋极伏羲科技有限公司 | Video spatial information query method based on grid coding |
| CN111309967B (en) * | 2020-01-23 | 2023-12-01 | 北斗伏羲信息技术有限公司 | Video space information query method based on grid coding |
| CN111541876A (en) * | 2020-05-18 | 2020-08-14 | 上海未高科技有限公司 | Method for realizing high-altitude cloud anti-AR technology |
| CN111931830A (en) * | 2020-07-27 | 2020-11-13 | 泰瑞数创科技(北京)有限公司 | Video fusion processing method and device, electronic equipment and storage medium |
| CN111931830B (en) * | 2020-07-27 | 2023-12-29 | 泰瑞数创科技(北京)股份有限公司 | Video fusion processing method and device, electronic equipment and storage medium |
| CN113157088A (en) * | 2021-03-18 | 2021-07-23 | 浙江通鹏智能科技有限公司 | Criminal investigation virtual scene-based data processing method and device |
| CN113157088B (en) * | 2021-03-18 | 2022-04-08 | 浙江通鹏智能科技有限公司 | Criminal investigation virtual scene-based data processing method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104331929B (en) | 2018-02-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104331929A (en) | Crime scene reduction method based on video map and augmented reality | |
| US11120628B2 (en) | Systems and methods for augmented reality representations of networks | |
| CN102981616B (en) | The recognition methods of object and system and computer in augmented reality | |
| CN101833896B (en) | Geographic information guide method and system based on augment reality | |
| TWI667618B (en) | Integrated sensing positioning based on 3D information model applied to construction engineering and facility equipment management system | |
| US20110102460A1 (en) | Platform for widespread augmented reality and 3d mapping | |
| Behringer et al. | Augmented Reality: Placing artificial objects in real scenes | |
| CN104504753A (en) | Internet three-dimensional IP (internet protocol) map system and method based on augmented reality | |
| CN103514621B (en) | The authentic dynamic 3D reproducting method of case, event scenarios and reconfiguration system | |
| CN104486586A (en) | Disaster lifesaving simulated training method and system based on video map | |
| CN110609883A (en) | AR map dynamic navigation system | |
| CN114372107A (en) | GIS-based method and system for visualizing homeland improvement and ecological restoration data | |
| CN107977716A (en) | The method and system that a kind of hidden danger point is shown | |
| Ayyanchira et al. | Toward cross-platform immersive visualization for indoor navigation and collaboration with augmented reality | |
| JP2022507502A (en) | Augmented Reality (AR) Imprint Method and System | |
| CN104501797A (en) | Navigation method based on augmented reality IP map | |
| Adithya et al. | Augmented reality approach for paper map visualization | |
| CN111127661B (en) | Data processing method and device and electronic equipment | |
| Saggio et al. | Augmented reality for restoration/reconstruction of artefacts with artistic or historical value | |
| CN104157135A (en) | Intelligent traffic system | |
| Yang et al. | Seeing as it happens: Real time 3D video event visualization | |
| Yang et al. | Survey on tracking and registration technology for mobile augmented reality | |
| US10614308B2 (en) | Augmentations based on positioning accuracy or confidence | |
| Adabala et al. | Augmented reality: a review of applications | |
| Zheng et al. | [Retracted] Rendering and Optimization Algorithm of Digital City’s 3D Artistic Landscape Based on Virtual Reality |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |