CA2055714A1 - Scene recognition system and method employing low and high level feature processing - Google Patents
Scene recognition system and method employing low and high level feature processingInfo
- Publication number
- CA2055714A1 CA2055714A1 CA2055714A CA2055714A CA2055714A1 CA 2055714 A1 CA2055714 A1 CA 2055714A1 CA 2055714 A CA2055714 A CA 2055714A CA 2055714 A CA2055714 A CA 2055714A CA 2055714 A1 CA2055714 A1 CA 2055714A1
- Authority
- CA
- Canada
- Prior art keywords
- high level
- graphs
- graph matching
- image
- level feature
- 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
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/42—Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation
- G06V10/422—Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation for representing the structure of the pattern or shape of an object therefor
- G06V10/426—Graphical representations
Abstract
Image data is processed by a low level feature detection processor that extractslow level features from an image. This is accomplished by converting a matrix of im-age data into a matrix of orthogonalicons that symbolically represent the image scene using a predetermined set of attributes. The orthogonal icons serve as the basis of pro-cessing by means of a high level graph matching processor which employs symbolicscene segmentation, description, and recognition processing that is performed subse-quent to the low level feature detection. This processing generates attribute graphs rep-resentative of target objects present in the image scene. High level graph matching compares predetermined attributed reference graphs to the sensed graphs to produce a best common subgraph between the two based on the degree of similarity between the two graphs. The high level graph matching generates a recognition decision based on the value of the degree of similarity and a predetermined threshold. The output of the high level graph matching provides data from which a target aimpoint is determined, and this aimpoint is coupled as an input to a missile guidance system that tracks identi-fied targets.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US07/633,833 US5093869A (en) | 1990-12-26 | 1990-12-26 | Pattern recognition apparatus utilizing area linking and region growth techniques |
US633,833 | 1990-12-26 |
Publications (2)
Publication Number | Publication Date |
---|---|
CA2055714A1 true CA2055714A1 (en) | 1992-06-27 |
CA2055714C CA2055714C (en) | 1997-01-07 |
Family
ID=24541303
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CA002055714A Expired - Fee Related CA2055714C (en) | 1990-12-26 | 1991-11-15 | Scene recognition system and method employing low and high level feature processing |
Country Status (8)
Country | Link |
---|---|
US (1) | US5093869A (en) |
EP (1) | EP0492512A3 (en) |
JP (1) | JP2518578B2 (en) |
KR (1) | KR940006841B1 (en) |
AU (1) | AU644923B2 (en) |
CA (1) | CA2055714C (en) |
IL (1) | IL100104A (en) |
NO (1) | NO914813L (en) |
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JP2738325B2 (en) * | 1995-01-24 | 1998-04-08 | 日本電気株式会社 | Motion compensated inter-frame prediction device |
US5706361A (en) * | 1995-01-26 | 1998-01-06 | Autodesk, Inc. | Video seed fill over time |
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CA2229376A1 (en) * | 1995-08-16 | 1997-02-27 | Youn Soo Bae | Magnetic circuits in the rotation system for generating both the mechanical power and the electronic power |
US5894525A (en) * | 1995-12-06 | 1999-04-13 | Ncr Corporation | Method and system for simultaneously recognizing contextually related input fields for a mutually consistent interpretation |
US6084989A (en) * | 1996-11-15 | 2000-07-04 | Lockheed Martin Corporation | System and method for automatically determining the position of landmarks in digitized images derived from a satellite-based imaging system |
US5978504A (en) * | 1997-02-19 | 1999-11-02 | Carnegie Mellon University | Fast planar segmentation of range data for mobile robots |
JP3862374B2 (en) * | 1997-09-04 | 2006-12-27 | キヤノン株式会社 | Image processing apparatus and method |
US6144379A (en) * | 1997-11-20 | 2000-11-07 | International Business Machines Corporation | Computer controlled user interactive display system for presenting graphs with interactive icons for accessing related graphs |
WO1999052072A1 (en) * | 1998-04-07 | 1999-10-14 | Omron Corporation | Image processing device and method, medium on which program for image processing is stored, and inspecting device |
DE59911114D1 (en) * | 1998-07-08 | 2004-12-23 | Siemens Ag | METHOD AND ARRANGEMENT FOR DETERMINING A SIMILAR MEASUREMENT OF A FIRST STRUCTURE WITH AT LEAST ONE PRESET SECOND STRUCTURE |
JP3667173B2 (en) * | 1999-09-27 | 2005-07-06 | キヤノン株式会社 | Image processing apparatus and image processing method |
US6671407B1 (en) * | 1999-10-19 | 2003-12-30 | Microsoft Corporation | System and method for hashing digital images |
EP1272912A2 (en) * | 2000-02-25 | 2003-01-08 | Synquiry Technologies, Ltd | Conceptual factoring and unification of graphs representing semantic models |
US6996273B2 (en) * | 2001-04-24 | 2006-02-07 | Microsoft Corporation | Robust recognizer of perceptually similar content |
US7020775B2 (en) | 2001-04-24 | 2006-03-28 | Microsoft Corporation | Derivation and quantization of robust non-local characteristics for blind watermarking |
US6973574B2 (en) * | 2001-04-24 | 2005-12-06 | Microsoft Corp. | Recognizer of audio-content in digital signals |
US7356188B2 (en) | 2001-04-24 | 2008-04-08 | Microsoft Corporation | Recognizer of text-based work |
WO2002099684A1 (en) * | 2001-06-04 | 2002-12-12 | Barra, Inc. | Method and apparatus for creating consistent risk forecasts and for aggregating factor models |
US7113637B2 (en) * | 2001-08-24 | 2006-09-26 | Industrial Technology Research Institute | Apparatus and methods for pattern recognition based on transform aggregation |
GB2384095B (en) * | 2001-12-10 | 2004-04-28 | Cybula Ltd | Image recognition |
US7746379B2 (en) * | 2002-12-31 | 2010-06-29 | Asset Intelligence, Llc | Sensing cargo using an imaging device |
US7336819B2 (en) * | 2003-12-29 | 2008-02-26 | Eastman Kodak Company | Detection of sky in digital color images |
US7831832B2 (en) * | 2004-01-06 | 2010-11-09 | Microsoft Corporation | Digital goods representation based upon matrix invariances |
US7587064B2 (en) * | 2004-02-03 | 2009-09-08 | Hrl Laboratories, Llc | Active learning system for object fingerprinting |
US7421112B2 (en) * | 2004-03-12 | 2008-09-02 | General Electric Company | Cargo sensing system |
US7770014B2 (en) * | 2004-04-30 | 2010-08-03 | Microsoft Corporation | Randomized signal transforms and their applications |
US8294763B2 (en) * | 2007-12-14 | 2012-10-23 | Sri International | Method for building and extracting entity networks from video |
US8036468B2 (en) * | 2007-12-24 | 2011-10-11 | Microsoft Corporation | Invariant visual scene and object recognition |
RU2507538C2 (en) * | 2009-10-19 | 2014-02-20 | Алексей Александрович Галицын | Method for group identification of objects ("friendly-foreign") and target designation based on real-time wireless positioning and intelligent radar |
US20110232719A1 (en) * | 2010-02-17 | 2011-09-29 | Freda Robert M | Solar power system |
US8909950B1 (en) | 2010-04-18 | 2014-12-09 | Aptima, Inc. | Systems and methods of power management |
US8942917B2 (en) | 2011-02-14 | 2015-01-27 | Microsoft Corporation | Change invariant scene recognition by an agent |
US9917739B2 (en) * | 2012-02-20 | 2018-03-13 | Aptima, Inc. | Systems and methods for network pattern matching |
US9076062B2 (en) * | 2012-09-17 | 2015-07-07 | Gravity Jack, Inc. | Feature searching along a path of increasing similarity |
US9406138B1 (en) | 2013-09-17 | 2016-08-02 | Bentley Systems, Incorporated | Semi-automatic polyline extraction from point cloud |
US10637814B2 (en) | 2017-01-18 | 2020-04-28 | Microsoft Technology Licensing, Llc | Communication routing based on physical status |
US10606814B2 (en) | 2017-01-18 | 2020-03-31 | Microsoft Technology Licensing, Llc | Computer-aided tracking of physical entities |
US10482900B2 (en) | 2017-01-18 | 2019-11-19 | Microsoft Technology Licensing, Llc | Organization of signal segments supporting sensed features |
US10437884B2 (en) | 2017-01-18 | 2019-10-08 | Microsoft Technology Licensing, Llc | Navigation of computer-navigable physical feature graph |
US10679669B2 (en) | 2017-01-18 | 2020-06-09 | Microsoft Technology Licensing, Llc | Automatic narration of signal segment |
US11094212B2 (en) * | 2017-01-18 | 2021-08-17 | Microsoft Technology Licensing, Llc | Sharing signal segments of physical graph |
US10635981B2 (en) | 2017-01-18 | 2020-04-28 | Microsoft Technology Licensing, Llc | Automated movement orchestration |
CN111522967B (en) * | 2020-04-27 | 2023-09-15 | 北京百度网讯科技有限公司 | Knowledge graph construction method, device, equipment and storage medium |
Family Cites Families (12)
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US3725576A (en) * | 1962-09-12 | 1973-04-03 | Us Navy | Television tracking system |
GB1409448A (en) * | 1966-04-27 | 1975-10-08 | Emi Ltd | Automatic target following apparatus |
US3794272A (en) * | 1967-02-13 | 1974-02-26 | Us Navy | Electro-optical guidance system |
US4115803A (en) * | 1975-05-23 | 1978-09-19 | Bausch & Lomb Incorporated | Image analysis measurement apparatus and methods |
US4047154A (en) * | 1976-09-10 | 1977-09-06 | Rockwell International Corporation | Operator interactive pattern processing system |
US4183013A (en) * | 1976-11-29 | 1980-01-08 | Coulter Electronics, Inc. | System for extracting shape features from an image |
US4267562A (en) * | 1977-10-18 | 1981-05-12 | The United States Of America As Represented By The Secretary Of The Army | Method of autonomous target acquisition |
US4783829A (en) * | 1983-02-23 | 1988-11-08 | Hitachi, Ltd. | Pattern recognition apparatus |
DE3505793A1 (en) * | 1984-02-21 | 1985-08-22 | Kabushiki Kaisha Komatsu Seisakusho, Tokio/Tokyo | OBJECT IDENTIFICATION PROCEDURE |
GB2210487B (en) * | 1987-09-11 | 1991-07-10 | Gen Electric Co Plc | Object recognition |
DE3823814A1 (en) * | 1988-07-14 | 1990-02-01 | Messerschmitt Boelkow Blohm | FLIGHT BODY GUIDE SYSTEM |
GB8905926D0 (en) * | 1989-03-15 | 1990-04-25 | British Aerospace | Target aim point location |
-
1990
- 1990-12-26 US US07/633,833 patent/US5093869A/en not_active Expired - Lifetime
-
1991
- 1991-11-15 CA CA002055714A patent/CA2055714C/en not_active Expired - Fee Related
- 1991-11-20 IL IL10010491A patent/IL100104A/en not_active IP Right Cessation
- 1991-12-06 NO NO91914813A patent/NO914813L/en unknown
- 1991-12-20 EP EP19910121973 patent/EP0492512A3/en not_active Ceased
- 1991-12-23 AU AU90016/91A patent/AU644923B2/en not_active Ceased
- 1991-12-24 KR KR1019910024287A patent/KR940006841B1/en not_active IP Right Cessation
- 1991-12-26 JP JP3345159A patent/JP2518578B2/en not_active Expired - Lifetime
Also Published As
Publication number | Publication date |
---|---|
AU9001691A (en) | 1992-07-09 |
EP0492512A3 (en) | 1993-12-08 |
AU644923B2 (en) | 1993-12-23 |
US5093869A (en) | 1992-03-03 |
EP0492512A2 (en) | 1992-07-01 |
NO914813D0 (en) | 1991-12-06 |
CA2055714C (en) | 1997-01-07 |
IL100104A0 (en) | 1992-08-18 |
KR920013189A (en) | 1992-07-28 |
KR940006841B1 (en) | 1994-07-28 |
IL100104A (en) | 1996-06-18 |
JP2518578B2 (en) | 1996-07-24 |
NO914813L (en) | 1992-06-29 |
JPH04306499A (en) | 1992-10-29 |
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Legal Events
Date | Code | Title | Description |
---|---|---|---|
EEER | Examination request | ||
MKLA | Lapsed |