KR102165128B1 - 이미지 프레임들의 시퀀스 내의 관절 객체의 자동화된 추적 및 유지 - Google Patents
이미지 프레임들의 시퀀스 내의 관절 객체의 자동화된 추적 및 유지 Download PDFInfo
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- KR102165128B1 KR102165128B1 KR1020190022264A KR20190022264A KR102165128B1 KR 102165128 B1 KR102165128 B1 KR 102165128B1 KR 1020190022264 A KR1020190022264 A KR 1020190022264A KR 20190022264 A KR20190022264 A KR 20190022264A KR 102165128 B1 KR102165128 B1 KR 102165128B1
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
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- G—PHYSICS
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- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
- G06V20/42—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items of sport video content
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- G06T5/001—
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/174—Segmentation; Edge detection involving the use of two or more images
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/254—Analysis of motion involving subtraction of images
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/262—Analysis of motion using transform domain methods, e.g. Fourier domain methods
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06V10/457—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 analysing connectivity, e.g. edge linking, connected component analysis or slices
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
- G06V40/23—Recognition of whole body movements, e.g. for sport training
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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
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20036—Morphological image processing
- G06T2207/20044—Skeletonization; Medial axis transform
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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
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
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- Engineering & Computer Science (AREA)
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- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- General Health & Medical Sciences (AREA)
- Human Computer Interaction (AREA)
- Social Psychology (AREA)
- Psychiatry (AREA)
- Health & Medical Sciences (AREA)
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- Software Systems (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US15/913,308 US10460156B2 (en) | 2018-03-06 | 2018-03-06 | Automated tracking and retaining of an articulated object in a sequence of image frames |
| US15/913,308 | 2018-03-06 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| KR20190106704A KR20190106704A (ko) | 2019-09-18 |
| KR102165128B1 true KR102165128B1 (ko) | 2020-10-13 |
Family
ID=65443796
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| KR1020190022264A Active KR102165128B1 (ko) | 2018-03-06 | 2019-02-26 | 이미지 프레임들의 시퀀스 내의 관절 객체의 자동화된 추적 및 유지 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US10460156B2 (https=) |
| EP (1) | EP3537377B1 (https=) |
| JP (1) | JP6882723B2 (https=) |
| KR (1) | KR102165128B1 (https=) |
| CN (1) | CN110232303B (https=) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022139200A1 (ko) * | 2020-12-22 | 2022-06-30 | 주식회사 네오펙트 | 연속되는 이미지 프레임에 대한 스켈레톤 분석에 기초한 동일객체 식별장치 및 식별방법 |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109241844B (zh) * | 2018-08-03 | 2020-11-17 | 百度在线网络技术(北京)有限公司 | 三维物体的姿态估计方法、装置、设备及存储介质 |
| CN111611895B (zh) * | 2020-05-15 | 2023-12-19 | 北京联合大学 | 一种基于OpenPose的多视角人体骨架自动标注方法 |
| CN115439334B (zh) * | 2021-06-02 | 2025-09-09 | 中国科学院分子植物科学卓越创新中心 | 整穗图像处理方法和装置 |
| GB202111600D0 (en) * | 2021-08-12 | 2021-09-29 | Milestone Systems As | Privacy preserving anomaly detection using semantic segmentation |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2014099178A (ja) * | 2012-11-15 | 2014-05-29 | Thomson Licensing | スーパーピクセルライフサイクル管理のための方法 |
Family Cites Families (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8150155B2 (en) | 2006-02-07 | 2012-04-03 | Qualcomm Incorporated | Multi-mode region-of-interest video object segmentation |
| JP2009015558A (ja) * | 2007-07-04 | 2009-01-22 | Nippon Telegr & Teleph Corp <Ntt> | 姿勢推定装置および姿勢推定方法 |
| US20160065959A1 (en) * | 2014-08-26 | 2016-03-03 | Lyrical Labs Video Compression Technology, LLC | Learning-based partitioning for video encoding |
| US20170337711A1 (en) * | 2011-03-29 | 2017-11-23 | Lyrical Labs Video Compression Technology, LLC | Video processing and encoding |
| US9916662B2 (en) * | 2015-03-17 | 2018-03-13 | Lyrical Labs Video Compression Technology, LLC | Foreground detection using fractal dimensional measures |
| US8630454B1 (en) | 2011-05-31 | 2014-01-14 | Google Inc. | Method and system for motion detection in an image |
| US9373040B2 (en) * | 2011-11-01 | 2016-06-21 | Google Inc. | Image matching using motion manifolds |
| JP5965764B2 (ja) * | 2012-07-25 | 2016-08-10 | 日本放送協会 | 映像領域分割装置及び映像領域分割プログラム |
| US8811670B2 (en) | 2012-09-28 | 2014-08-19 | The Boeing Company | Method and system for using fingerprints to track moving objects in video |
| AU2013245477A1 (en) * | 2013-10-16 | 2015-04-30 | Canon Kabushiki Kaisha | Method, system and apparatus for determining a contour segment for an object in an image captured by a camera |
| JP6272071B2 (ja) * | 2014-02-18 | 2018-01-31 | 日本放送協会 | 画像処理装置、画像処理方法及びプログラム |
| US9123133B1 (en) | 2014-03-26 | 2015-09-01 | National Taipei University Of Technology | Method and apparatus for moving object detection based on cerebellar model articulation controller network |
| US9280831B1 (en) * | 2014-10-23 | 2016-03-08 | International Business Machines Corporation | Image segmentation |
| US9747717B2 (en) * | 2015-05-13 | 2017-08-29 | Intel Corporation | Iterative closest point technique based on a solution of inverse kinematics problem |
| US9547908B1 (en) * | 2015-09-28 | 2017-01-17 | Google Inc. | Feature mask determination for images |
| US10019637B2 (en) * | 2015-11-13 | 2018-07-10 | Honda Motor Co., Ltd. | Method and system for moving object detection with single camera |
-
2018
- 2018-03-06 US US15/913,308 patent/US10460156B2/en active Active
-
2019
- 2019-02-01 JP JP2019017064A patent/JP6882723B2/ja not_active Expired - Fee Related
- 2019-02-15 EP EP19157546.3A patent/EP3537377B1/en active Active
- 2019-02-26 KR KR1020190022264A patent/KR102165128B1/ko active Active
- 2019-02-28 CN CN201910147860.0A patent/CN110232303B/zh not_active Expired - Fee Related
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2014099178A (ja) * | 2012-11-15 | 2014-05-29 | Thomson Licensing | スーパーピクセルライフサイクル管理のための方法 |
Non-Patent Citations (1)
| Title |
|---|
| "superpixel-based tracking-by-segmentation using markov chains"* |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022139200A1 (ko) * | 2020-12-22 | 2022-06-30 | 주식회사 네오펙트 | 연속되는 이미지 프레임에 대한 스켈레톤 분석에 기초한 동일객체 식별장치 및 식별방법 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110232303B (zh) | 2023-06-16 |
| JP6882723B2 (ja) | 2021-06-02 |
| KR20190106704A (ko) | 2019-09-18 |
| US20190278980A1 (en) | 2019-09-12 |
| EP3537377A1 (en) | 2019-09-11 |
| US10460156B2 (en) | 2019-10-29 |
| CN110232303A (zh) | 2019-09-13 |
| EP3537377B1 (en) | 2022-05-11 |
| JP2019160299A (ja) | 2019-09-19 |
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