CN109373993A - A kind of positioning system and method based on more somatosensory devices - Google Patents

A kind of positioning system and method based on more somatosensory devices Download PDF

Info

Publication number
CN109373993A
CN109373993A CN201811172036.2A CN201811172036A CN109373993A CN 109373993 A CN109373993 A CN 109373993A CN 201811172036 A CN201811172036 A CN 201811172036A CN 109373993 A CN109373993 A CN 109373993A
Authority
CN
China
Prior art keywords
location information
identified object
somatosensory
skeleton data
data
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
CN201811172036.2A
Other languages
Chinese (zh)
Inventor
李坚
文红光
卢念华
吉胜勇
钟文洲
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.)
Shenzhen OCT Vision Inc
Original Assignee
Shenzhen OCT Vision Inc
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 Shenzhen OCT Vision Inc filed Critical Shenzhen OCT Vision Inc
Priority to CN201811172036.2A priority Critical patent/CN109373993A/en
Publication of CN109373993A publication Critical patent/CN109373993A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00

Landscapes

  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Automation & Control Theory (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Image Analysis (AREA)

Abstract

The invention discloses a kind of positioning systems and method based on more somatosensory devices, wherein system includes several somatosensory devices, is sent to control host for obtaining the skeleton data of identified object, and by the skeleton data;The location information for the skeleton data received to be converted to location information, and is uploaded to server by several control hosts;Server adjusts the location information of identified object, positions to identified object for the location information received to be converted in same world coordinate system.The identified object in identification region is identified simultaneously using more somatosensory devices, identification data are converted into location information and are aggregated into same world coordinate system, the location information of identified object is adjusted, realizes the positioning to identified object.The positioning system has position stability high, and positioning flexibly, is easy to commercialized feature.

Description

A kind of positioning system and method based on more somatosensory devices
Technical field
The present invention relates to object location techniques field more particularly to a kind of positioning systems and side based on more somatosensory devices Method.
Background technique
In the prior art, all targeted purposes of positioning system: as GPS positioning system has more long-term use to go through History, but the technology has more apparent deviation and unstable, the in addition higher operating costs of GPS positioning system;It is such as infrared fixed Position system is mainly used for pinpointing the touch-control identification in region, and the use of the system has significant limitation, such as to realize that region is big Then cost is larger for the identification of area, is unfavorable for commercial operations.
Therefore, the existing technology needs to be improved and developed.
Summary of the invention
In view of above-mentioned deficiencies of the prior art, the purpose of the present invention is to provide a kind of positioning based on more somatosensory devices System and method, it is intended to solve the problems, such as that positioning system stability is poor in the prior art.
Technical scheme is as follows:
A kind of positioning system based on more somatosensory devices, wherein include:
Several somatosensory devices are sent to control host for obtaining the skeleton data of identified object, and by the skeleton data;
Several control hosts, for the skeleton data received to be converted to location information, and by the location information It is uploaded to server;
Server adjusts the position letter of identified object for the location information received to be converted in same world coordinate system Breath, positions identified object;
Each somatosensory device control host corresponding with one is connected, and control host is connected with server.
The positioning system based on more somatosensory devices, wherein the somatosensory device is Kinect.
The positioning system based on more somatosensory devices, wherein the quantity of the somatosensory device is 3-6 platform.
A kind of localization method based on more somatosensory devices, wherein comprising steps of
The skeleton data of identified object is obtained by somatosensory device, and the skeleton data is sent to control host;
The skeleton data that the control host will receive is converted to location information, and the location information is uploaded to clothes Business device;
The location information received is converted in same world coordinate system by the server, adjusts the position letter of identified object Breath, positions identified object.
The localization method based on more somatosensory devices, wherein the location information includes displacement data and/or moves Make data.
The localization method based on more somatosensory devices, wherein the step is obtained identified by somatosensory device The skeleton data of object, and the skeleton data is sent to before control host further include:
Somatosensory device is in real time scanned the region in identification range, when there is object by the region then to the object into Row track identification.
The localization method based on more somatosensory devices, wherein control host described in the step will receive The skeleton data is converted to location information, and the location information is uploaded to server, specifically includes:
Judge whether the center of gravity of identified object shifts according to the skeleton data, when the center of gravity of identified object shifts When, then the skeleton data is converted into displacement data;
Judge whether the limbs of identified object shift according to the skeleton data, when the limbs of identified object shift When, then the skeleton data is converted into action data;
The displacement data, action data are uploaded to server.
The localization method based on more somatosensory devices, wherein the position that server described in the step will receive Confidence breath is converted in same world coordinate system, is adjusted the location information of identified object, is positioned to identified object, specific to wrap It includes:
The location information received is screened, skeleton data institute acquired in the somatosensory device nearest from identified object is chosen The location information of conversion;
It after the location information is transformed into same world coordinate system, is transferred in corresponding scene, by adjusting identified object Location information the identified object in scene is positioned.
The localization method based on more somatosensory devices, wherein the position that server described in the step will receive Confidence breath is converted in same world coordinate system, is adjusted the location information of identified object, is positioned to identified object, wherein institute The location information for adjusting identified object is stated, before positioning to identified object further include: to received location information into Capable smooth, noise reduction process.
The utility model has the advantages that the positioning system and method provided by the present invention based on more somatosensory devices, using more stage body senses Equipment simultaneously identifies the identified object in identification region, by the data conversion recognized at corresponding displacement data with And action data, it is aggregated into after the displacement data and action data are uploaded onto the server in same world coordinate system, shape At the location paths information of identified object, to realize the positioning to identified object.The positioning system has position stability height, Positioning flexibly, is easy to commercialized feature.
Detailed description of the invention
Fig. 1 is that the present invention is based on the structural block diagrams of more somatosensory device positioning system preferred embodiments.
Fig. 2 is that the present invention is based on the flow charts of more somatosensory device localization method preferred embodiments.
Fig. 3 is that the present invention is based on the flow charts of step S20 in more somatosensory device localization method preferred embodiments.
Fig. 4 is that the present invention is based on the flow charts of step S30 in more somatosensory device localization method preferred embodiments.
Specific embodiment
The present invention provides positioning system and method based on more somatosensory devices, to make the purpose of the present invention, technical solution And effect is clearer, clear, the present invention is described in more detail below.It should be appreciated that specific implementation described herein Example is only used to explain the present invention, is not intended to limit the present invention.
Referring to Fig. 1, Fig. 1 is that the present invention is based on the structural block diagrams of more somatosensory device positioning system preferred embodiments, such as Shown in Fig. 1, the positioning system comprising:
Several somatosensory devices 100 are sent to control master for obtaining the skeleton data of identified object, and by the skeleton data Machine 200;Several control hosts 200, for the skeleton data received to be converted to location information, and by the position Information is uploaded to server 300;Server 300 is adjusted for the location information received to be converted in same world coordinate system The location information of whole identified object, positions identified object;Each somatosensory device 100 control master corresponding with one Machine 200 is connected, and control host 200 is connected with server 300.
Positioning system in the prior art, has that there are stability is poor, applies in general item in short distance identification object Upper commercial operations problem at high cost.
To solve the above-mentioned problems, the present invention provides a kind of positioning systems based on more somatosensory devices, since this is System uses more somatosensory devices, is superimposed its identification region, extends, so as to effectively identify biggish area, meanwhile, lead to The framework of the mature technology and server of crossing somatosensory device can be effectively stable the identified object of identification location information, improve positioning The stability of system.Due to using more somatosensory devices, additionally it is possible to flexibly increase and decrease need to position according to the actual needs Region.
Specifically, the control host corresponding with one of every somatosensory device in positioning system is connected, by controlling Host processed controls the work of somatosensory device, and then every control host is connected with a unique server.
As a specific embodiment of the invention, the somatosensory device is Kinect, it is a kind of 3D body-sensing video camera, It has imported the functions such as instant dynamic capture, image identification, microphone input, speech recognition, community interactive simultaneously.Pass through Kinect included instant dynamic capture function, can identify the identified object in its identification region, obtain identified The skeleton data of object.It controls host caller and skeleton data is converted into location information.Somatosensory device Kinect is set as 3-6 Platform (such as 5), i.e. control host corresponding with 5 is connected 5 Kinect respectively, 5 control hosts and unique server Connection, the location information that server converts out control host, is aggregated into same world coordinate system, realizes nearby region The position of interior identified object positions.
For above system, the present invention also provides a kind of localization methods based on more somatosensory devices, referring to Fig. 2, method Comprising steps of
S10, the skeleton data that identified object is obtained by somatosensory device, and the skeleton data is sent to control host;
The skeleton data that S20, the control host will receive is converted to location information, and the location information is uploaded To server;
The location information received is converted in same world coordinate system by S30, the server, adjusts the position of identified object Information positions identified object.
Specifically, the quilt entered in its identification range is obtained by every somatosensory device Kinect set in system It identifies that acquired skeleton data is transferred in corresponding control host by the skeleton data of object, every Kinect, controls host Caller judges that the location information of identified object, control host will using the distance between skeleton point relationship and angled relationships The location information identified is uploaded to coupled server, is converted, is aggregated into location information by server In same world coordinate system locating for identified object, the location information of identified object is adjusted, identified object is positioned.
Further, in the present embodiment, the location information includes displacement data and/or action data.The somatosensory device Kinect is in real time scanned the region in identification range, is then tracked to the object when there is object by the region Identification, until identified object leaves identification region.
Referring to Fig. 3, the step S20 includes:
S201, judge whether the center of gravity of identified object shifts according to the skeleton data, when the center of gravity of identified object occurs When offset, then the skeleton data is converted into displacement data;
S202, judge whether the limbs of identified object shift according to the skeleton data, when the limbs of identified object occur When offset, then the skeleton data is converted into action data;
S203, the displacement data, action data are uploaded to server.
Before and after displacement data by obtaining identified object may determine that whether identified object is made in identification region The movement of left and right, and the action data by obtaining the identified object may determine that identified object is not do corresponding move Make.The position that can more accurately perceive identified object is obtained by displacement data to identified object and action data It sets, it is more convenient that identified object is positioned.
Referring to Fig. 4, the step S30 includes:
S301, the location information received is screened, chooses bone acquired in the somatosensory device nearest from identified object The location information that data are converted;
S302, it after the location information is transformed into same world coordinate system, is transferred in corresponding scene, by adjusting being known The location information of other object positions the identified object in scene.
Wherein, when Kinect identifies identified object, since multiple devices work at the same time, every Kinect is adopted The data collected have differences, and need to screen it.It can be by detecting between identified object and Kinect device Distance, the data that Kinect for selecting the identified object of distance close is identified are as trust data.
Below with the citing of VR suspension bridge game item, to the positioning system provided by the present invention based on more somatosensory devices And method is further explained explanation.
For Kinect, identification effective coverage is certain.There are two types of its region descriptions: Physical Limits (physical limit) and Sweet spot (zone of comfort), the actual ability that the former represents inductor can be seen with him Real estate, the latter represents the best interaction area of human body.Its recognition mode has including two kinds: i.e. half body mode and whole body mould Formula uses whole body mode in this game item.For its default mode (whole body mode): physical limit range: 0.8 to 4 Rice;Comfort zone range: 1.2 to 3.5 meters.In addition, the visual angle Kinect size: level angle: 57.5 degree;Vertical angle: 43.5 degree. For VR suspension bridge game item, since suspension bridge is 4 meters, high 2 meters or so long, so we can use whole body mode, with comfort zone Range is standard, its identification region can be made to be superimposed along suspension bridge direction word order using 3 Kinect.
Then, when player walks on suspension bridge, Kinect can collect the skeleton data of player, and will be adopted The player's skeleton data collected is transferred to control host, for cognizance code, is mainly closed using the distance between skeleton point It is to judge which kind of behavior player is with angled relationships human skeleton data.It is exactly up and down generally in the game item Variation, if center of gravity moves to left, and distance is more than given threshold value (such as 0.1m), is considered as target body and moves to left behavior, equally , if center of gravity moves to right, and distance is more than given threshold value (such as 0.1m), is considered as target body and moves to right behavior.If weight The heart does not move, that does not just move to left and move to right certainly behavior.Equally, when player makes squatting motion, whether detection leg There is bending to a certain extent, judges the angle of 3 buttocks, knee, ankle lines whether less than 160 degree, if it is less, saying Bright behavior of squatting down.
Because Kinect can get the skeleton data of player, the i.e. same movement 3 of same position respectively a certain position 3 It is had differences between data acquired in platform Kinect, selects bone acquired in nearest that Kinect with a distance from player at this time Bone data are trust data, and the displacement data and action data which is converted are uploaded to as master data Server, server are scaled in same world coordinate system after carrying out smooth, noise reduction process to received data, form quilt It identifies the location paths information of object and is transferred to inside suspension bridge game, so that the player role inside suspension bridge game maintained like Movement.In addition, always having Kinect all the time recognizes player, is not in Dead Core Problems, player is allowed to feel oneself It is smoothly to move, the final positioning realized to player.
In conclusion the positioning system and method provided by the invention based on more somatosensory devices, is set by more stage body senses It is standby that identified object in identification region is identified, identify the skeleton data of identified object, and the skeleton data is turned It changes location information into, then the location information is uploaded to server, server carries out smooth, noise reduction to received data It is scaled in same world coordinate system, forms the location paths information of identified object and is transferred to inside game after processing, so that The movement that role corresponding with identified object inside game maintains like.Due to the position letter detected by multiple somatosensory devices Breath is filtered and parses, and determines the higher positional value of confidence, carries out reduction data precision simultaneously for the position data Etc. a series of processing, to effectively improve the stability of positioning system.
It should be understood that the application of the present invention is not limited to the above for those of ordinary skills can With improvement or transformation based on the above description, all these modifications and variations all should belong to the guarantor of appended claims of the present invention Protect range.

Claims (9)

1. a kind of positioning system based on more somatosensory devices characterized by comprising
Several somatosensory devices are sent to control host for obtaining the skeleton data of identified object, and by the skeleton data;
Several control hosts, for the skeleton data received to be converted to location information, and by the location information It is uploaded to server;
Server adjusts the position letter of identified object for the location information received to be converted in same world coordinate system Breath, positions identified object;
Each somatosensory device control host corresponding with one is connected, and control host is connected with server.
2. the positioning system according to claim 1 based on more somatosensory devices, which is characterized in that the somatosensory device is Kinect。
3. the positioning system according to claim 1 based on more somatosensory devices, which is characterized in that
The quantity of the somatosensory device is 3-6 platform.
4. a kind of localization method based on more somatosensory devices, which is characterized in that comprising steps of
The skeleton data of identified object is obtained by somatosensory device, and the skeleton data is sent to control host;
The skeleton data that the control host will receive is converted to location information, and the location information is uploaded to clothes Business device;
The location information received is converted in same world coordinate system by the server, adjusts the position letter of identified object Breath, positions identified object.
5. the localization method according to claim 4 based on more somatosensory devices, which is characterized in that the location information packet Include displacement data and/or action data.
6. the localization method according to claim 4 based on more somatosensory devices, which is characterized in that the step passes through body Feel the skeleton data that equipment obtains identified object, and the skeleton data be sent to before control host further include:
Somatosensory device is in real time scanned the region in identification range, when there is object by the region then to the object into Row track identification.
7. the localization method according to claim 4 based on more somatosensory devices, which is characterized in that controlled described in the step The skeleton data received is converted to location information by host processed, and the location information is uploaded to server, specifically Include:
Judge whether the center of gravity of identified object shifts according to the skeleton data, when the center of gravity of identified object shifts When, then the skeleton data is converted into displacement data;
Judge whether the limbs of identified object shift according to the skeleton data, when the limbs of identified object shift When, then the skeleton data is converted into action data;
The displacement data, action data are uploaded to server.
8. the localization method according to claim 4 based on more somatosensory devices, which is characterized in that taken described in the step The location information received is converted in same world coordinate system by business device, the location information of identified object is adjusted, to identified Object is positioned, and is specifically included:
The location information received is screened, skeleton data institute acquired in the somatosensory device nearest from identified object is chosen The location information of conversion;
It after the location information is transformed into same world coordinate system, is transferred in corresponding scene, by adjusting identified object Location information the identified object in scene is positioned.
9. the localization method according to claim 4 based on more somatosensory devices, which is characterized in that taken described in the step The location information received is converted in same world coordinate system by business device, the location information of identified object is adjusted, to identified Object is positioned, wherein the location information for adjusting identified object, before positioning to identified object further include: to being connect The location information received carries out smooth, noise reduction process.
CN201811172036.2A 2018-10-09 2018-10-09 A kind of positioning system and method based on more somatosensory devices Pending CN109373993A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811172036.2A CN109373993A (en) 2018-10-09 2018-10-09 A kind of positioning system and method based on more somatosensory devices

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811172036.2A CN109373993A (en) 2018-10-09 2018-10-09 A kind of positioning system and method based on more somatosensory devices

Publications (1)

Publication Number Publication Date
CN109373993A true CN109373993A (en) 2019-02-22

Family

ID=65403249

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811172036.2A Pending CN109373993A (en) 2018-10-09 2018-10-09 A kind of positioning system and method based on more somatosensory devices

Country Status (1)

Country Link
CN (1) CN109373993A (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104933734A (en) * 2015-06-26 2015-09-23 西安理工大学 Multi-Kinect-based human body gesture data fusion method
CN105354812A (en) * 2014-07-10 2016-02-24 北京中科盘古科技发展有限公司 Method for identifying profile interaction based on multi-Kinect collaboration depth threshold segmentation algorithm
US20160344978A1 (en) * 2014-04-10 2016-11-24 Smartvue Corporation Systems and Methods for Automated Cloud-Based 3-Dimensional (3D) Analytics for Surveillance Systems
CN107993249A (en) * 2017-08-23 2018-05-04 北京航空航天大学 A kind of body gait data fusion method based on more Kinect
CN108364034A (en) * 2018-04-02 2018-08-03 北京大学 A kind of motion capture method and device of multi-model coupling

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160344978A1 (en) * 2014-04-10 2016-11-24 Smartvue Corporation Systems and Methods for Automated Cloud-Based 3-Dimensional (3D) Analytics for Surveillance Systems
CN105354812A (en) * 2014-07-10 2016-02-24 北京中科盘古科技发展有限公司 Method for identifying profile interaction based on multi-Kinect collaboration depth threshold segmentation algorithm
CN104933734A (en) * 2015-06-26 2015-09-23 西安理工大学 Multi-Kinect-based human body gesture data fusion method
CN107993249A (en) * 2017-08-23 2018-05-04 北京航空航天大学 A kind of body gait data fusion method based on more Kinect
CN108364034A (en) * 2018-04-02 2018-08-03 北京大学 A kind of motion capture method and device of multi-model coupling

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
陈乙雄等: "《移动设备新技术简明教程》", 31 August 2016, 重庆大学出版社 *

Similar Documents

Publication Publication Date Title
US11798237B2 (en) Method for establishing a common reference frame amongst devices for an augmented reality session
CN110199321B (en) Positioning determination for mixed reality systems
CN106650687B (en) Posture correction method based on depth information and skeleton information
CN105751230B (en) A kind of controlling of path thereof, paths planning method, the first equipment and the second equipment
CN110728739B (en) Virtual human control and interaction method based on video stream
KR101693951B1 (en) Method for recognizing gestures and gesture detector
CN104933734A (en) Multi-Kinect-based human body gesture data fusion method
US9008442B2 (en) Information processing apparatus, information processing method, and computer program
CN104914988A (en) Gesture recognition apparatus and control method of gesture recognition apparatus
CN102567703A (en) Hand motion identification information processing method based on classification characteristic
CN109542219B (en) Gesture interaction system and method applied to intelligent classroom
Ehlers et al. A human-robot interaction interface for mobile and stationary robots based on real-time 3D human body and hand-finger pose estimation
CN105688373A (en) Intelligent body-building system and device, and intelligent body-building exchange system
CN102662464A (en) Gesture control method of gesture roaming control system
CN108549878A (en) Hand detection method based on depth information and system
CN110286754A (en) Projective techniques and relevant device based on eyeball tracking
CN110069057A (en) A kind of obstacle sensing method based on robot
WO2021184359A1 (en) Target following method, target following apparatus, movable device and storage medium
CN102968615B (en) A kind of three-dimensional somatic data identification method of the anti-interference function had in intensive people flow
CN104898971A (en) Mouse pointer control method and system based on gaze tracking technology
CN102156994A (en) Joint positioning method of single-view unmarked human motion tracking
CN109634407A (en) It is a kind of based on control method multimode man-machine heat transfer agent synchronous acquisition and merged
CN109373993A (en) A kind of positioning system and method based on more somatosensory devices
CN105526682A (en) Air conditioning system capable of intelligently recognizing number of persons and image processing method
Carozza et al. Image-based localization for an indoor VR/AR construction training system

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
CB02 Change of applicant information
CB02 Change of applicant information

Address after: 518053 Guangdong Shenzhen city Shenzhen Nanshan District Shahe Street Huaqiao Creative Culture Park East Industrial Zone H1 5-6 floor

Applicant after: Shenzhen Overseas Chinese City Cultural Tourism Technology Group Co., Ltd.

Address before: 518053 Guangdong Shenzhen city Shenzhen Nanshan District Shahe Street Huaqiao Creative Culture Park East Industrial Zone H1 5-6 floor

Applicant before: SHENZHEN OCT VISION INC.

CB03 Change of inventor or designer information
CB03 Change of inventor or designer information

Inventor after: Li Yang

Inventor after: Li Jian

Inventor after: Wen Hongguang

Inventor after: Lu Nianhua

Inventor after: Ji Shengyong

Inventor after: Zhong Wenzhou

Inventor before: Li Jian

Inventor before: Wen Hongguang

Inventor before: Lu Nianhua

Inventor before: Ji Shengyong

Inventor before: Zhong Wenzhou

RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20190222