SG11202004464SA - Vehicle accident image processing method and apparatus - Google Patents
Vehicle accident image processing method and apparatusInfo
- Publication number
- SG11202004464SA SG11202004464SA SG11202004464SA SG11202004464SA SG11202004464SA SG 11202004464S A SG11202004464S A SG 11202004464SA SG 11202004464S A SG11202004464S A SG 11202004464SA SG 11202004464S A SG11202004464S A SG 11202004464SA SG 11202004464S A SG11202004464S A SG 11202004464SA
- Authority
- SG
- Singapore
- Prior art keywords
- image processing
- processing method
- vehicle accident
- accident image
- vehicle
- Prior art date
Links
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
- G06V20/584—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of vehicle lights or traffic lights
-
- 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
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
- G06F18/24133—Distances to prototypes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
-
- 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
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
- G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
- G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
- G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
- G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
-
- 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
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30248—Vehicle exterior or interior
- G06T2207/30252—Vehicle exterior; Vicinity of vehicle
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Data Mining & Analysis (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- Software Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- Mathematical Physics (AREA)
- Computational Linguistics (AREA)
- Biophysics (AREA)
- Medical Informatics (AREA)
- Databases & Information Systems (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Biodiversity & Conservation Biology (AREA)
- Quality & Reliability (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Algebra (AREA)
- Probability & Statistics with Applications (AREA)
- Image Analysis (AREA)
- Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810148839.8A CN108399382A (en) | 2018-02-13 | 2018-02-13 | Vehicle insurance image processing method and device |
PCT/US2019/017828 WO2019160935A1 (en) | 2018-02-13 | 2019-02-13 | Vehicle accident image processing method and apparatus |
Publications (1)
Publication Number | Publication Date |
---|---|
SG11202004464SA true SG11202004464SA (en) | 2020-06-29 |
Family
ID=63095618
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11202004464SA SG11202004464SA (en) | 2018-02-13 | 2019-02-13 | Vehicle accident image processing method and apparatus |
Country Status (6)
Country | Link |
---|---|
US (2) | US10891515B2 (en) |
EP (1) | EP3701419A1 (en) |
CN (1) | CN108399382A (en) |
SG (1) | SG11202004464SA (en) |
TW (1) | TWI715888B (en) |
WO (1) | WO2019160935A1 (en) |
Families Citing this family (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108399382A (en) | 2018-02-13 | 2018-08-14 | 阿里巴巴集团控股有限公司 | Vehicle insurance image processing method and device |
CN110570358A (en) * | 2018-09-04 | 2019-12-13 | 阿里巴巴集团控股有限公司 | vehicle loss image enhancement method and device based on GAN network |
CN109215027B (en) * | 2018-10-11 | 2024-05-24 | 平安科技(深圳)有限公司 | Vehicle damage assessment method based on neural network, server and medium |
DE102019204318A1 (en) * | 2019-03-28 | 2020-10-01 | Conti Temic Microelectronic Gmbh | Automatic detection and classification of adversarial attacks |
FR3104291B1 (en) * | 2019-12-04 | 2022-03-04 | Psa Automobiles Sa | Method and system for configuring an imaging device of a motor vehicle comprising N sensors and N dedicated encoder neural networks |
CN111144485B (en) * | 2019-12-26 | 2023-07-21 | 北京中交兴路车联网科技有限公司 | Vehicle accident judging method and system based on xgboost classification algorithm |
US11687778B2 (en) | 2020-01-06 | 2023-06-27 | The Research Foundation For The State University Of New York | Fakecatcher: detection of synthetic portrait videos using biological signals |
CN113033408B (en) * | 2021-03-26 | 2023-10-20 | 北京百度网讯科技有限公司 | Data queue dynamic updating method and device, electronic equipment and storage medium |
CN113538193B (en) * | 2021-06-30 | 2024-07-16 | 南京云略软件科技有限公司 | Traffic accident handling method and system based on artificial intelligence and computer vision |
US11875496B2 (en) * | 2021-08-25 | 2024-01-16 | Genpact Luxembourg S.à r.l. II | Dimension estimation using duplicate instance identification in a multiview and multiscale system |
US20230368502A1 (en) * | 2022-05-11 | 2023-11-16 | Verizon Patent And Licensing Inc. | System and method for facial recognition |
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US7016529B2 (en) | 2002-03-15 | 2006-03-21 | Microsoft Corporation | System and method facilitating pattern recognition |
US20060036372A1 (en) * | 2004-03-18 | 2006-02-16 | Bulent Yener | Method and apparatus for tissue modeling |
US7474775B2 (en) * | 2005-03-31 | 2009-01-06 | University Of Iowa Research Foundation | Automatic detection of red lesions in digital color fundus photographs |
US8660358B1 (en) * | 2011-02-18 | 2014-02-25 | Google Inc. | Rank-based image piling |
IL231862A (en) | 2014-04-01 | 2015-04-30 | Superfish Ltd | Neural network image representation |
US9346167B2 (en) | 2014-04-29 | 2016-05-24 | Brain Corporation | Trainable convolutional network apparatus and methods for operating a robotic vehicle |
JP5928748B2 (en) * | 2014-07-31 | 2016-06-01 | インターナショナル・ビジネス・マシーンズ・コーポレーションInternational Business Machines Corporation | A method for accurately obtaining the position and orientation of each recognition target object when multiple recognition target objects of the same type exist in the search target image |
CN105424330B (en) * | 2014-08-29 | 2019-09-27 | 北京航空航天大学 | A kind of lorry bolts at axle end fault detection method and device |
EP3161728B1 (en) | 2014-10-10 | 2023-05-17 | Beijing Kuangshi Technology Co., Ltd. | Hierarchical interlinked multi-scale convolutional network for image parsing |
US9786036B2 (en) | 2015-04-28 | 2017-10-10 | Qualcomm Incorporated | Reducing image resolution in deep convolutional networks |
CN105184778B (en) * | 2015-08-25 | 2018-04-24 | 广州视源电子科技股份有限公司 | Detection method and device |
CN106022220B (en) * | 2016-05-09 | 2020-02-28 | 北京河马能量体育科技有限公司 | Method for tracking multiple faces of participating athletes in sports video |
US10909459B2 (en) * | 2016-06-09 | 2021-02-02 | Cognizant Technology Solutions U.S. Corporation | Content embedding using deep metric learning algorithms |
CN106469299B (en) * | 2016-08-31 | 2019-07-19 | 北京邮电大学 | A kind of vehicle search method and device |
US20180108150A1 (en) * | 2016-10-17 | 2018-04-19 | Dsi Assignments, Llc | Systems and methods for in-field stereocamera calibration |
TWI607387B (en) * | 2016-11-25 | 2017-12-01 | 財團法人工業技術研究院 | Character recognition systems and character recognition methods thereof |
US10510142B1 (en) * | 2017-01-13 | 2019-12-17 | United Services Automobile Association (Usaa) | Estimation using image analysis |
CN107358596B (en) * | 2017-04-11 | 2020-09-18 | 阿里巴巴集团控股有限公司 | Vehicle loss assessment method and device based on image, electronic equipment and system |
CN107392218B (en) * | 2017-04-11 | 2020-08-04 | 创新先进技术有限公司 | Vehicle loss assessment method and device based on image and electronic equipment |
CN107292291B (en) * | 2017-07-19 | 2020-04-03 | 北京智芯原动科技有限公司 | Vehicle identification method and system |
CN108399382A (en) | 2018-02-13 | 2018-08-14 | 阿里巴巴集团控股有限公司 | Vehicle insurance image processing method and device |
US11205096B2 (en) * | 2018-11-19 | 2021-12-21 | Google Llc | Training image-to-image translation neural networks |
US10373027B1 (en) * | 2019-01-30 | 2019-08-06 | StradVision, Inc. | Method for acquiring sample images for inspecting label among auto-labeled images to be used for learning of neural network and sample image acquiring device using the same |
US10699192B1 (en) * | 2019-01-31 | 2020-06-30 | StradVision, Inc. | Method for optimizing hyperparameters of auto-labeling device which auto-labels training images for use in deep learning network to analyze images with high precision, and optimizing device using the same |
-
2018
- 2018-02-13 CN CN201810148839.8A patent/CN108399382A/en active Pending
- 2018-11-20 TW TW107141236A patent/TWI715888B/en active
-
2019
- 2019-02-13 WO PCT/US2019/017828 patent/WO2019160935A1/en active Search and Examination
- 2019-02-13 SG SG11202004464SA patent/SG11202004464SA/en unknown
- 2019-02-13 US US16/274,930 patent/US10891515B2/en active Active
- 2019-02-13 EP EP19709166.3A patent/EP3701419A1/en active Pending
- 2019-12-20 US US16/722,919 patent/US10891517B2/en active Active
Also Published As
Publication number | Publication date |
---|---|
TWI715888B (en) | 2021-01-11 |
TW201935308A (en) | 2019-09-01 |
US20200125895A1 (en) | 2020-04-23 |
EP3701419A1 (en) | 2020-09-02 |
US10891515B2 (en) | 2021-01-12 |
US20190251395A1 (en) | 2019-08-15 |
CN108399382A (en) | 2018-08-14 |
WO2019160935A1 (en) | 2019-08-22 |
US10891517B2 (en) | 2021-01-12 |
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