SG11202013053PA - Methods and apparatuses for multi-level target classification and traffic sign detection, device and medium - Google Patents
Methods and apparatuses for multi-level target classification and traffic sign detection, device and mediumInfo
- Publication number
- SG11202013053PA SG11202013053PA SG11202013053PA SG11202013053PA SG11202013053PA SG 11202013053P A SG11202013053P A SG 11202013053PA SG 11202013053P A SG11202013053P A SG 11202013053PA SG 11202013053P A SG11202013053P A SG 11202013053PA SG 11202013053P A SG11202013053P A SG 11202013053PA
- Authority
- SG
- Singapore
- Prior art keywords
- apparatuses
- medium
- methods
- traffic sign
- target classification
- Prior art date
Links
- 238000001514 detection method Methods 0.000 title 1
- 238000000034 method Methods 0.000 title 1
Classifications
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- 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
- 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
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2415—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/243—Classification techniques relating to the number of classes
- G06F18/2431—Multiple classes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/243—Classification techniques relating to the number of classes
- G06F18/24323—Tree-organised classifiers
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
- G06F18/254—Fusion techniques of classification results, e.g. of results related to same input data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/285—Selection of pattern recognition techniques, e.g. of classifiers in a multi-classifier system
-
- 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
-
- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
- G06T7/248—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments involving reference images or patches
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
-
- 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
- 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
- G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
- G06V10/80—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
- G06V10/809—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of classification results, e.g. where the classifiers operate on the same input data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/46—Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
-
- 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
- G06V20/582—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of traffic signs
-
- 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
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- 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]
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811036346.1A CN110879950A (en) | 2018-09-06 | 2018-09-06 | Multi-stage target classification and traffic sign detection method and device, equipment and medium |
PCT/CN2019/098674 WO2020048265A1 (en) | 2018-09-06 | 2019-07-31 | Methods and apparatuses for multi-level target classification and traffic sign detection, device and medium |
Publications (1)
Publication Number | Publication Date |
---|---|
SG11202013053PA true SG11202013053PA (en) | 2021-01-28 |
Family
ID=69722331
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11202013053PA SG11202013053PA (en) | 2018-09-06 | 2019-07-31 | Methods and apparatuses for multi-level target classification and traffic sign detection, device and medium |
Country Status (6)
Country | Link |
---|---|
US (1) | US20210110180A1 (en) |
JP (1) | JP2021530048A (en) |
KR (1) | KR20210013216A (en) |
CN (1) | CN110879950A (en) |
SG (1) | SG11202013053PA (en) |
WO (1) | WO2020048265A1 (en) |
Families Citing this family (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11256956B2 (en) * | 2019-12-02 | 2022-02-22 | Qualcomm Incorporated | Multi-stage neural network process for keypoint detection in an image |
CN112052778B (en) * | 2020-09-01 | 2022-04-12 | 腾讯科技(深圳)有限公司 | Traffic sign identification method and related device |
CN112132032A (en) * | 2020-09-23 | 2020-12-25 | 平安国际智慧城市科技股份有限公司 | Traffic sign detection method and device, electronic equipment and storage medium |
CN112633151B (en) * | 2020-12-22 | 2024-04-12 | 浙江大华技术股份有限公司 | Method, device, equipment and medium for determining zebra stripes in monitoring images |
US11776281B2 (en) | 2020-12-22 | 2023-10-03 | Toyota Research Institute, Inc. | Systems and methods for traffic light detection and classification |
CN113095359B (en) * | 2021-03-05 | 2023-09-12 | 西安交通大学 | Method and system for detecting radiographic image marking information |
CN113361593B (en) * | 2021-06-03 | 2023-12-19 | 阿波罗智联(北京)科技有限公司 | Method for generating image classification model, road side equipment and cloud control platform |
CN113516069A (en) * | 2021-07-08 | 2021-10-19 | 北京华创智芯科技有限公司 | Road mark real-time detection method and device based on size robustness |
CN113516088B (en) * | 2021-07-22 | 2024-02-27 | 中移(杭州)信息技术有限公司 | Object recognition method, device and computer readable storage medium |
CN113837144B (en) * | 2021-10-25 | 2022-09-13 | 广州微林软件有限公司 | Intelligent image data acquisition and processing method for refrigerator |
US11756288B2 (en) * | 2022-01-05 | 2023-09-12 | Baidu Usa Llc | Image processing method and apparatus, electronic device and storage medium |
CN115830399B (en) * | 2022-12-30 | 2023-09-12 | 广州沃芽科技有限公司 | Classification model training method, device, equipment, storage medium and program product |
Family Cites Families (19)
Publication number | Priority date | Publication date | Assignee | Title |
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US8041080B2 (en) * | 2009-03-31 | 2011-10-18 | Mitsubi Electric Research Laboratories, Inc. | Method for recognizing traffic signs |
CN101814147B (en) * | 2010-04-12 | 2012-04-25 | 中国科学院自动化研究所 | Method for realizing classification of scene images |
WO2011154978A2 (en) * | 2010-06-10 | 2011-12-15 | Tata Consultancy Services Limited | An illumination invariant and robust apparatus and method for detecting and recognizing various traffic signs |
CN103020623B (en) * | 2011-09-23 | 2016-04-06 | 株式会社理光 | Method for traffic sign detection and road traffic sign detection equipment |
CN103824452B (en) * | 2013-11-22 | 2016-06-22 | 银江股份有限公司 | A kind of peccancy parking detector based on panoramic vision of lightweight |
CN103955950B (en) * | 2014-04-21 | 2017-02-08 | 中国科学院半导体研究所 | Image tracking method utilizing key point feature matching |
US10387773B2 (en) * | 2014-10-27 | 2019-08-20 | Ebay Inc. | Hierarchical deep convolutional neural network for image classification |
CN104700099B (en) * | 2015-03-31 | 2017-08-11 | 百度在线网络技术(北京)有限公司 | The method and apparatus for recognizing traffic sign |
CN105335710A (en) * | 2015-10-22 | 2016-02-17 | 合肥工业大学 | Fine vehicle model identification method based on multi-stage classifier |
CN106295568B (en) * | 2016-08-11 | 2019-10-18 | 上海电力学院 | The mankind's nature emotion identification method combined based on expression and behavior bimodal |
JP2018026040A (en) * | 2016-08-12 | 2018-02-15 | キヤノン株式会社 | Information processing apparatus and information processing method |
CN106778585B (en) * | 2016-12-08 | 2019-04-16 | 腾讯科技(上海)有限公司 | A kind of face key point-tracking method and device |
JP6947508B2 (en) * | 2017-01-31 | 2021-10-13 | 株式会社日立製作所 | Moving object detection device, moving object detection system, and moving object detection method |
CN108470172B (en) * | 2017-02-23 | 2021-06-11 | 阿里巴巴集团控股有限公司 | Text information identification method and device |
CN106991417A (en) * | 2017-04-25 | 2017-07-28 | 华南理工大学 | A kind of visual projection's interactive system and exchange method based on pattern-recognition |
CN107480730A (en) * | 2017-09-05 | 2017-12-15 | 广州供电局有限公司 | Power equipment identification model construction method and system, the recognition methods of power equipment |
CN108229319A (en) * | 2017-11-29 | 2018-06-29 | 南京大学 | The ship video detecting method merged based on frame difference with convolutional neural networks |
CN108171762B (en) * | 2017-12-27 | 2021-10-12 | 河海大学常州校区 | Deep learning compressed sensing same-class image rapid reconstruction system and method |
CN108363957A (en) * | 2018-01-19 | 2018-08-03 | 成都考拉悠然科技有限公司 | Road traffic sign detection based on cascade network and recognition methods |
-
2018
- 2018-09-06 CN CN201811036346.1A patent/CN110879950A/en active Pending
-
2019
- 2019-07-31 KR KR1020207037464A patent/KR20210013216A/en not_active Application Discontinuation
- 2019-07-31 JP JP2020573120A patent/JP2021530048A/en active Pending
- 2019-07-31 SG SG11202013053PA patent/SG11202013053PA/en unknown
- 2019-07-31 WO PCT/CN2019/098674 patent/WO2020048265A1/en active Application Filing
-
2020
- 2020-12-21 US US17/128,629 patent/US20210110180A1/en not_active Abandoned
Also Published As
Publication number | Publication date |
---|---|
US20210110180A1 (en) | 2021-04-15 |
KR20210013216A (en) | 2021-02-03 |
JP2021530048A (en) | 2021-11-04 |
CN110879950A (en) | 2020-03-13 |
WO2020048265A1 (en) | 2020-03-12 |
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