BR112012015971A2 - método de rastreamento - Google Patents
método de rastreamentoInfo
- Publication number
- BR112012015971A2 BR112012015971A2 BR112012015971A BR112012015971A BR112012015971A2 BR 112012015971 A2 BR112012015971 A2 BR 112012015971A2 BR 112012015971 A BR112012015971 A BR 112012015971A BR 112012015971 A BR112012015971 A BR 112012015971A BR 112012015971 A2 BR112012015971 A2 BR 112012015971A2
- Authority
- BR
- Brazil
- Prior art keywords
- grouping
- regions
- frame
- tracking
- depth value
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
- G06F18/232—Non-hierarchical techniques
- G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
- G06F18/23213—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/762—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
- G06V10/763—Non-hierarchical techniques, e.g. based on statistics of modelling distributions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/64—Three-dimensional objects
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Data Mining & Analysis (AREA)
- Multimedia (AREA)
- Artificial Intelligence (AREA)
- Software Systems (AREA)
- Evolutionary Computation (AREA)
- Probability & Statistics with Applications (AREA)
- Medical Informatics (AREA)
- Computing Systems (AREA)
- Health & Medical Sciences (AREA)
- Databases & Information Systems (AREA)
- General Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- General Engineering & Computer Science (AREA)
- Image Analysis (AREA)
Abstract
método de rastreamento. a presente invenção refere-se a um método para rastrear pelo menos um objeto em uma sequência de quadros, cada quadro compreendendo uma matriz de pixels, em que um valor de profundidade é associado a cada pixel. o método compreende agrupar pelo menos alguns dos ditos pixels de cada quadro em diversar regiões, agrupar as ditas regiões em agrupamentos (b ~1~ ..., b ~5~) de rehiões interligadas; e determinar que um agrupamento (b ~2~..., b ~5~) que é adjacente a um outro agrupamento (b ~1~) em uma projeção bidimensional pertence a um objeto parcialmente ocluído pelo dito outro agrupamento (b ~1~) se ele tiver um valor de profundidade diferente daquele do dito outro agrupamento (b ~1~).
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP09180785A EP2357608B1 (en) | 2009-12-28 | 2009-12-28 | Tracking method |
| PCT/EP2010/070821 WO2011080282A1 (en) | 2009-12-28 | 2010-12-28 | Tracking method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| BR112012015971A2 true BR112012015971A2 (pt) | 2016-04-19 |
Family
ID=42124238
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| BR112012015971A BR112012015971A2 (pt) | 2009-12-28 | 2010-12-28 | método de rastreamento |
Country Status (13)
| Country | Link |
|---|---|
| US (1) | US8891825B2 (pt) |
| EP (1) | EP2357608B1 (pt) |
| JP (1) | JP5462956B2 (pt) |
| KR (1) | KR101415479B1 (pt) |
| CN (1) | CN102812491B (pt) |
| AU (1) | AU2010338192B2 (pt) |
| BR (1) | BR112012015971A2 (pt) |
| CA (1) | CA2784558C (pt) |
| MX (1) | MX2012007595A (pt) |
| SG (1) | SG181596A1 (pt) |
| TW (1) | TWI520102B (pt) |
| WO (1) | WO2011080282A1 (pt) |
| ZA (1) | ZA201204260B (pt) |
Families Citing this family (29)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8705860B2 (en) * | 2011-03-14 | 2014-04-22 | Microsoft Corporation | Grouping variables for fast image labeling |
| US9072929B1 (en) * | 2011-12-01 | 2015-07-07 | Nebraska Global Investment Company, LLC | Image capture system |
| US9111351B2 (en) * | 2011-12-15 | 2015-08-18 | Sony Corporation | Minimizing drift using depth camera images |
| KR101909544B1 (ko) * | 2012-01-19 | 2018-10-18 | 삼성전자주식회사 | 평면 검출 장치 및 방법 |
| WO2013172491A1 (ko) * | 2012-05-16 | 2013-11-21 | 전자부품연구원 | 깊이 정보를 이용한 물체 인식 방법 및 장치 |
| TW201349027A (zh) * | 2012-05-25 | 2013-12-01 | Univ Ming Chuan | 遙控辨識方法及其裝置 |
| EP2674913B1 (en) | 2012-06-14 | 2014-07-23 | Softkinetic Software | Three-dimensional object modelling fitting & tracking. |
| US20140210950A1 (en) * | 2013-01-31 | 2014-07-31 | Qualcomm Incorporated | Systems and methods for multiview metrology |
| US9052746B2 (en) * | 2013-02-15 | 2015-06-09 | Microsoft Technology Licensing, Llc | User center-of-mass and mass distribution extraction using depth images |
| EP2790152B1 (en) | 2013-04-12 | 2015-12-02 | Alcatel Lucent | Method and device for automatic detection and tracking of one or multiple objects of interest in a video |
| KR101439037B1 (ko) * | 2013-06-25 | 2014-09-15 | 주식회사 에스원 | 영상에서 객체를 추적하는 방법 및 장치 |
| US9436872B2 (en) | 2014-02-24 | 2016-09-06 | Hong Kong Applied Science and Technology Research Institute Company Limited | System and method for detecting and tracking multiple parts of an object |
| US9836635B2 (en) * | 2014-10-09 | 2017-12-05 | Cognex Corporation | Systems and methods for tracking optical codes |
| US9361524B2 (en) | 2014-10-20 | 2016-06-07 | King Abdullah University Of Science & Technology | System and method for crowd counting and tracking |
| CN106295287B (zh) * | 2015-06-10 | 2019-04-09 | 阿里巴巴集团控股有限公司 | 活体检测方法和装置以及身份认证方法和装置 |
| US9726501B2 (en) * | 2015-08-06 | 2017-08-08 | Gabriel Oren Benel | Path guidance system for the visually impaired |
| US9922244B2 (en) * | 2015-09-03 | 2018-03-20 | Gestigon Gmbh | Fast and robust identification of extremities of an object within a scene |
| US10614578B2 (en) * | 2016-03-23 | 2020-04-07 | Akcelita, LLC | System and method for tracking people, animals and objects using a volumetric representation and artificial intelligence |
| JP7122815B2 (ja) * | 2017-11-15 | 2022-08-22 | キヤノン株式会社 | 画像処理装置、画像処理方法、及びプログラム |
| KR102569437B1 (ko) * | 2018-01-08 | 2023-08-24 | 현대모비스 주식회사 | 3차원 영상정보 기반 객체 추적 장치 및 방법 |
| KR102424664B1 (ko) * | 2018-01-08 | 2022-07-25 | 현대모비스 주식회사 | 3차원 영상정보 기반 객체 추적 장치 및 방법 |
| KR101936673B1 (ko) | 2018-07-09 | 2019-04-03 | (주) 대현목재 | 클립 유니트로 결합되는 데크 |
| US11012675B2 (en) | 2019-04-16 | 2021-05-18 | At&T Intellectual Property I, L.P. | Automatic selection of viewpoint characteristics and trajectories in volumetric video presentations |
| US11153492B2 (en) | 2019-04-16 | 2021-10-19 | At&T Intellectual Property I, L.P. | Selecting spectator viewpoints in volumetric video presentations of live events |
| US10970519B2 (en) | 2019-04-16 | 2021-04-06 | At&T Intellectual Property I, L.P. | Validating objects in volumetric video presentations |
| CN112493928B (zh) * | 2020-11-26 | 2021-12-17 | 广东盈峰智能环卫科技有限公司 | 一种机器人智能自跟随方法、装置、介质、电子设备 |
| CN112666973B (zh) * | 2020-12-15 | 2022-04-29 | 四川长虹电器股份有限公司 | 基于tof的无人机群在飞行中队形保持和变队的方法 |
| KR102451797B1 (ko) * | 2021-06-01 | 2022-10-12 | 씨드로닉스(주) | 타겟 객체를 모델링하는 모델링 방법, 모델링 장치 및 모델링 시스템 |
| CN116935074B (zh) * | 2023-07-25 | 2024-03-26 | 苏州驾驶宝智能科技有限公司 | 基于深度亲和网络自适应关联的多目标跟踪方法及装置 |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4118452B2 (ja) * | 1999-06-16 | 2008-07-16 | 本田技研工業株式会社 | 物体認識装置 |
| US6771818B1 (en) * | 2000-04-04 | 2004-08-03 | Microsoft Corporation | System and process for identifying and locating people or objects in a scene by selectively clustering three-dimensional regions |
| US8009871B2 (en) * | 2005-02-08 | 2011-08-30 | Microsoft Corporation | Method and system to segment depth images and to detect shapes in three-dimensionally acquired data |
| JP2008165595A (ja) * | 2006-12-28 | 2008-07-17 | Sumitomo Electric Ind Ltd | 障害物検出方法、障害物検出装置、障害物検出システム |
| BRPI0721562A2 (pt) | 2007-04-20 | 2013-01-22 | Softkinetic S A | mÉtodo e sistema de reconhecimento de volume |
-
2009
- 2009-12-28 EP EP09180785A patent/EP2357608B1/en active Active
-
2010
- 2010-12-27 TW TW099146096A patent/TWI520102B/zh active
- 2010-12-28 US US13/518,989 patent/US8891825B2/en active Active
- 2010-12-28 JP JP2012546440A patent/JP5462956B2/ja active Active
- 2010-12-28 KR KR1020127019660A patent/KR101415479B1/ko active IP Right Grant
- 2010-12-28 AU AU2010338192A patent/AU2010338192B2/en not_active Ceased
- 2010-12-28 CA CA2784558A patent/CA2784558C/en active Active
- 2010-12-28 MX MX2012007595A patent/MX2012007595A/es active IP Right Grant
- 2010-12-28 BR BR112012015971A patent/BR112012015971A2/pt not_active IP Right Cessation
- 2010-12-28 CN CN201080059711.6A patent/CN102812491B/zh active Active
- 2010-12-28 WO PCT/EP2010/070821 patent/WO2011080282A1/en active Application Filing
- 2010-12-28 SG SG2012042404A patent/SG181596A1/en unknown
-
2012
- 2012-06-11 ZA ZA2012/04260A patent/ZA201204260B/en unknown
Also Published As
| Publication number | Publication date |
|---|---|
| MX2012007595A (es) | 2012-11-29 |
| CN102812491A (zh) | 2012-12-05 |
| EP2357608A1 (en) | 2011-08-17 |
| CA2784558C (en) | 2016-10-11 |
| SG181596A1 (en) | 2012-07-30 |
| CN102812491B (zh) | 2015-07-08 |
| US8891825B2 (en) | 2014-11-18 |
| EP2357608B1 (en) | 2012-11-21 |
| JP2013516014A (ja) | 2013-05-09 |
| JP5462956B2 (ja) | 2014-04-02 |
| ZA201204260B (en) | 2013-08-28 |
| AU2010338192A2 (en) | 2012-08-23 |
| KR101415479B1 (ko) | 2014-07-04 |
| TWI520102B (zh) | 2016-02-01 |
| US20130016879A1 (en) | 2013-01-17 |
| WO2011080282A1 (en) | 2011-07-07 |
| AU2010338192A1 (en) | 2012-07-26 |
| KR20130000374A (ko) | 2013-01-02 |
| CA2784558A1 (en) | 2011-07-07 |
| AU2010338192B2 (en) | 2014-06-19 |
| TW201142752A (en) | 2011-12-01 |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| B08F | Application dismissed because of non-payment of annual fees [chapter 8.6 patent gazette] |
Free format text: REFERENTE AS 4A E 5A ANUIDADES. |
|
| B08K | Patent lapsed as no evidence of payment of the annual fee has been furnished to inpi [chapter 8.11 patent gazette] |
Free format text: EM VIRTUDE DO ARQUIVAMENTO PUBLICADO NA RPI 2383 DE 06-09-2016 E CONSIDERANDO AUSENCIA DE MANIFESTACAO DENTRO DOS PRAZOS LEGAIS, INFORMO QUE CABE SER MANTIDO O ARQUIVAMENTO DO PEDIDO DE PATENTE, CONFORME O DISPOSTO NO ARTIGO 12, DA RESOLUCAO 113/2013. |