CA2910552C - System and method for probabilistic object tracking over time - Google Patents
System and method for probabilistic object tracking over time Download PDFInfo
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- CA2910552C CA2910552C CA2910552A CA2910552A CA2910552C CA 2910552 C CA2910552 C CA 2910552C CA 2910552 A CA2910552 A CA 2910552A CA 2910552 A CA2910552 A CA 2910552A CA 2910552 C CA2910552 C CA 2910552C
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Classifications
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06F3/013—Eye tracking input arrangements
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/143—Segmentation; Edge detection involving probabilistic approaches, e.g. Markov random field [MRF] modelling
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/215—Motion-based segmentation
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
- G06T7/33—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
- G06T7/344—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods involving models
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
- G06T7/75—Determining position or orientation of objects or cameras using feature-based methods involving models
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20076—Probabilistic image processing
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20092—Interactive image processing based on input by user
- G06T2207/20101—Interactive definition of point of interest, landmark or seed
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20092—Interactive image processing based on input by user
- G06T2207/20104—Interactive definition of region of interest [ROI]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
- G06T2207/20164—Salient point detection; Corner detection
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20221—Image fusion; Image merging
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2210/00—Indexing scheme for image generation or computer graphics
- G06T2210/61—Scene description
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Probability & Statistics with Applications (AREA)
- Software Systems (AREA)
- Multimedia (AREA)
- User Interface Of Digital Computer (AREA)
- Processing Or Creating Images (AREA)
- Image Analysis (AREA)
- Studio Devices (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201361817189P | 2013-04-29 | 2013-04-29 | |
| US61/817,189 | 2013-04-29 | ||
| PCT/IB2014/061090 WO2014178005A1 (en) | 2013-04-29 | 2014-04-29 | System and method for probabilistic object tracking over time |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CA2910552A1 CA2910552A1 (en) | 2014-11-06 |
| CA2910552C true CA2910552C (en) | 2024-04-02 |
Family
ID=50942720
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CA2910552A Active CA2910552C (en) | 2013-04-29 | 2014-04-29 | System and method for probabilistic object tracking over time |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US9965031B2 (https=) |
| EP (1) | EP2992405B1 (https=) |
| JP (1) | JP6515086B2 (https=) |
| CA (1) | CA2910552C (https=) |
| WO (1) | WO2014178005A1 (https=) |
Families Citing this family (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP6445784B2 (ja) * | 2014-05-16 | 2018-12-26 | キヤノン株式会社 | 画像診断支援装置、その処理方法及びプログラム |
| GB201410635D0 (en) | 2014-06-13 | 2014-07-30 | Univ Bangor | Improvements in and relating to the display of images |
| CN106033601B (zh) * | 2015-03-09 | 2019-01-18 | 株式会社理光 | 检测异常情形的方法和装置 |
| WO2016183681A1 (en) | 2015-05-19 | 2016-11-24 | Irystec Software Inc. | System and method for color retargeting |
| EP3141985A1 (en) * | 2015-09-10 | 2017-03-15 | Alcatel Lucent | A gazed virtual object identification module, a system for implementing gaze translucency, and a related method |
| US11579686B2 (en) * | 2016-03-07 | 2023-02-14 | Apple Inc. | Method and device for carrying out eye gaze mapping |
| JP6632443B2 (ja) * | 2016-03-23 | 2020-01-22 | 株式会社ソニー・インタラクティブエンタテインメント | 情報処理装置、情報処理システム、および情報処理方法 |
| US10642352B2 (en) * | 2017-05-18 | 2020-05-05 | Tectus Coporation | Gaze calibration via motion detection for eye-mounted displays |
| SE543121C2 (en) | 2019-02-04 | 2020-10-13 | Tobii Ab | Method and system for determining a current gaze direction |
| US20210011550A1 (en) * | 2019-06-14 | 2021-01-14 | Tobii Ab | Machine learning based gaze estimation with confidence |
| CN113139006B (zh) * | 2020-01-19 | 2024-11-15 | 深圳云天励飞技术有限公司 | 固定场所挖掘方法、装置、终端设备及可读存储介质 |
| WO2021163354A1 (en) * | 2020-02-14 | 2021-08-19 | Magic Leap, Inc. | Virtual object movement speed curve for virtual and augmented reality display systems |
| DE102020120546A1 (de) | 2020-08-04 | 2022-02-10 | Gestigon Gmbh | Verfahren und vorrichtung zum identifizieren eines objekts, das für eine bestimmte person von interesse ist, auf der basis des erfassbaren verhaltens dieser person |
| CN114201031B (zh) * | 2020-09-17 | 2024-11-12 | 北京七鑫易维信息技术有限公司 | 针对眼动跟踪的时间统计方法及装置 |
| US12145060B2 (en) * | 2022-05-27 | 2024-11-19 | Sony Interactive Entertainment LLC | Methods and systems to activate selective navigation or magnification of screen content |
| CN116959214B (zh) * | 2023-07-18 | 2024-04-02 | 北京至真互联网技术有限公司 | 一种通过智能眼镜提醒用户护眼方法及系统 |
| CN121415312B (zh) * | 2025-10-30 | 2026-04-17 | 北京邮电大学 | 零样本多目标追踪方法及装置、电子设备、存储介质 |
Family Cites Families (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6499025B1 (en) * | 1999-06-01 | 2002-12-24 | Microsoft Corporation | System and method for tracking objects by fusing results of multiple sensing modalities |
| AU2001271488A1 (en) * | 2000-06-27 | 2002-01-08 | Trustees Of Boston College | Automated visual tracking for computer access |
| ATE454849T1 (de) * | 2002-10-15 | 2010-01-15 | Volvo Technology Corp | Verfahren für die auswertung der kopf- und augenaktivität einer person |
| US7436980B2 (en) * | 2004-05-27 | 2008-10-14 | Siemens Corporate Research, Inc. | Graphical object models for detection and tracking |
| US8111873B2 (en) * | 2005-03-18 | 2012-02-07 | Cognimatics Ab | Method for tracking objects in a scene |
| US7536030B2 (en) * | 2005-11-30 | 2009-05-19 | Microsoft Corporation | Real-time Bayesian 3D pose tracking |
| US8219438B1 (en) * | 2008-06-30 | 2012-07-10 | Videomining Corporation | Method and system for measuring shopper response to products based on behavior and facial expression |
| WO2010071928A1 (en) * | 2008-12-22 | 2010-07-01 | Seeing Machines Limited | Automatic calibration of a gaze direction algorithm from user behaviour |
| US20110085700A1 (en) * | 2009-07-13 | 2011-04-14 | Lee Hans C | Systems and Methods for Generating Bio-Sensory Metrics |
| US9507418B2 (en) * | 2010-01-21 | 2016-11-29 | Tobii Ab | Eye tracker based contextual action |
| WO2011152893A1 (en) * | 2010-02-10 | 2011-12-08 | California Institute Of Technology | Methods and systems for generating saliency models through linear and/or nonlinear integration |
| US20110263946A1 (en) * | 2010-04-22 | 2011-10-27 | Mit Media Lab | Method and system for real-time and offline analysis, inference, tagging of and responding to person(s) experiences |
| US20120106793A1 (en) * | 2010-10-29 | 2012-05-03 | Gershenson Joseph A | Method and system for improving the quality and utility of eye tracking data |
| JP5648443B2 (ja) * | 2010-11-26 | 2015-01-07 | ソニー株式会社 | 画像処理装置および方法、並びにプログラム |
| CA2853709C (en) | 2011-10-27 | 2020-09-01 | Tandemlaunch Technologies Inc. | System and method for calibrating eye gaze data |
| WO2014159726A1 (en) * | 2013-03-13 | 2014-10-02 | Mecommerce, Inc. | Determining dimension of target object in an image using reference object |
| US9734587B2 (en) * | 2015-09-30 | 2017-08-15 | Apple Inc. | Long term object tracker |
-
2014
- 2014-04-29 JP JP2016511156A patent/JP6515086B2/ja active Active
- 2014-04-29 EP EP14730201.2A patent/EP2992405B1/en active Active
- 2014-04-29 WO PCT/IB2014/061090 patent/WO2014178005A1/en not_active Ceased
- 2014-04-29 CA CA2910552A patent/CA2910552C/en active Active
-
2015
- 2015-10-05 US US14/874,761 patent/US9965031B2/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CA2910552A1 (en) | 2014-11-06 |
| WO2014178005A4 (en) | 2014-12-24 |
| US20160026245A1 (en) | 2016-01-28 |
| EP2992405B1 (en) | 2025-02-12 |
| WO2014178005A1 (en) | 2014-11-06 |
| US9965031B2 (en) | 2018-05-08 |
| JP2016520917A (ja) | 2016-07-14 |
| JP6515086B2 (ja) | 2019-05-15 |
| EP2992405A1 (en) | 2016-03-09 |
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Legal Events
| Date | Code | Title | Description |
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| EEER | Examination request |
Effective date: 20190724 |
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| MPN | Maintenance fee for patent paid |
Free format text: FEE DESCRIPTION TEXT: MF (PATENT, 11TH ANNIV.) - STANDARD Year of fee payment: 11 |
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| U00 | Fee paid |
Free format text: ST27 STATUS EVENT CODE: A-4-4-U10-U00-U101 (AS PROVIDED BY THE NATIONAL OFFICE); EVENT TEXT: MAINTENANCE REQUEST RECEIVED Effective date: 20250425 |
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| U11 | Full renewal or maintenance fee paid |
Free format text: ST27 STATUS EVENT CODE: A-4-4-U10-U11-U102 (AS PROVIDED BY THE NATIONAL OFFICE); EVENT TEXT: MAINTENANCE FEE PAYMENT PAID IN FULL Effective date: 20250425 |