CO2021016291A2 - Representación y extracción de movimiento en capas en videos de cámara fija monocular - Google Patents
Representación y extracción de movimiento en capas en videos de cámara fija monocularInfo
- Publication number
- CO2021016291A2 CO2021016291A2 CONC2021/0016291A CO2021016291A CO2021016291A2 CO 2021016291 A2 CO2021016291 A2 CO 2021016291A2 CO 2021016291 A CO2021016291 A CO 2021016291A CO 2021016291 A2 CO2021016291 A2 CO 2021016291A2
- Authority
- CO
- Colombia
- Prior art keywords
- frame
- segments
- moving
- picture
- segmenting
- Prior art date
Links
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/215—Motion-based segmentation
-
- 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
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; CALCULATING OR COUNTING
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/194—Segmentation; Edge detection involving foreground-background segmentation
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/254—Analysis of motion involving subtraction of images
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/277—Analysis of motion involving stochastic approaches, e.g. using Kalman filters
-
- 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
- G06V20/49—Segmenting video sequences, i.e. computational techniques such as parsing or cutting the sequence, low-level clustering or determining units such as shots or scenes
-
- 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
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/14—Picture signal circuitry for video frequency region
- H04N5/144—Movement detection
- H04N5/145—Movement estimation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
-
- 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
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30232—Surveillance
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Probability & Statistics with Applications (AREA)
- Software Systems (AREA)
- Computing Systems (AREA)
- Image Analysis (AREA)
Abstract
Un método para segmentar datos de movimiento e inferir el orden de capas en un video, incluye segmentar un primer cuadro de imagen del video usando una estimación de modo intra-cuadro, segmentar cuadros de imagen adicionales del video usando una coincidencia de modo entre-cuadros, generar un mapa de cambio de etiqueta para un cuadro de imagen segmentado actual, generar un mapa binario del cuadro de imagen segmentado actual, y luego marcar uno o más píxeles cuyas etiquetas han cambiado con respecto a un cuadro de imagen segmentado anterior, detectar uno o más segmentos de imagen no fijos del cuadro de imagen segmentado actual, detectar uno o más segmentos de imagen en movimiento en el uno o más segmentos de imagen no fijos, estimar un movimiento del uno o más segmentos de imagen en movimiento, representar cada segmento en movimiento como un vector de siete parámetros, y agrupar uno o más vectores de segmentos en movimiento similares en base a uno o más parámetros correspondientes.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US16/458,291 US10803604B1 (en) | 2019-07-01 | 2019-07-01 | Layered motion representation and extraction in monocular still camera videos |
PCT/IB2020/054687 WO2021001703A1 (en) | 2019-07-01 | 2020-05-18 | Layered motion representation and extraction in monocular still camera videos |
Publications (1)
Publication Number | Publication Date |
---|---|
CO2021016291A2 true CO2021016291A2 (es) | 2021-12-10 |
Family
ID=70802897
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CONC2021/0016291A CO2021016291A2 (es) | 2019-07-01 | 2021-11-30 | Representación y extracción de movimiento en capas en videos de cámara fija monocular |
Country Status (11)
Country | Link |
---|---|
US (1) | US10803604B1 (es) |
EP (1) | EP3994664A1 (es) |
JP (1) | JP7282216B2 (es) |
KR (1) | KR20220007882A (es) |
CN (1) | CN114072839A (es) |
AU (1) | AU2020300067B2 (es) |
BR (1) | BR112021024268A2 (es) |
CA (1) | CA3141956A1 (es) |
CO (1) | CO2021016291A2 (es) |
MX (1) | MX2021015583A (es) |
WO (1) | WO2021001703A1 (es) |
Families Citing this family (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11200678B2 (en) * | 2019-09-17 | 2021-12-14 | Sony Corporation | Image-based mask frame interpolation |
US11748888B2 (en) * | 2019-11-15 | 2023-09-05 | L'oreal | End-to-end merge for video object segmentation (VOS) |
JP2022087914A (ja) * | 2020-12-02 | 2022-06-14 | 本田技研工業株式会社 | 車両位置推定装置 |
CN114556419A (zh) * | 2020-12-15 | 2022-05-27 | 深圳市大疆创新科技有限公司 | 三维点云分割方法和装置、可移动平台 |
CN113688951B (zh) * | 2021-10-25 | 2022-01-21 | 腾讯科技(深圳)有限公司 | 视频数据处理方法以及装置 |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20120027091A1 (en) * | 2010-07-28 | 2012-02-02 | Wei-Lien Hsu | Method and System for Encoding Video Frames Using a Plurality of Processors |
US8335350B2 (en) * | 2011-02-24 | 2012-12-18 | Eastman Kodak Company | Extracting motion information from digital video sequences |
CN102263979B (zh) * | 2011-08-05 | 2013-10-09 | 清华大学 | 一种平面视频立体化的深度图生成方法及装置 |
US9247136B2 (en) * | 2013-08-21 | 2016-01-26 | Xerox Corporation | Automatic mobile photo capture using video analysis |
US20190045193A1 (en) * | 2018-06-29 | 2019-02-07 | Intel Corporation | Region-based motion estimation and modeling for accurate region-based motion compensation for efficient video processing or coding |
-
2019
- 2019-07-01 US US16/458,291 patent/US10803604B1/en active Active
-
2020
- 2020-05-18 WO PCT/IB2020/054687 patent/WO2021001703A1/en unknown
- 2020-05-18 JP JP2021574232A patent/JP7282216B2/ja active Active
- 2020-05-18 MX MX2021015583A patent/MX2021015583A/es unknown
- 2020-05-18 EP EP20727723.7A patent/EP3994664A1/en active Pending
- 2020-05-18 KR KR1020217040336A patent/KR20220007882A/ko unknown
- 2020-05-18 BR BR112021024268A patent/BR112021024268A2/pt not_active Application Discontinuation
- 2020-05-18 CA CA3141956A patent/CA3141956A1/en active Pending
- 2020-05-18 AU AU2020300067A patent/AU2020300067B2/en active Active
- 2020-05-18 CN CN202080048996.7A patent/CN114072839A/zh active Pending
-
2021
- 2021-11-30 CO CONC2021/0016291A patent/CO2021016291A2/es unknown
Also Published As
Publication number | Publication date |
---|---|
AU2020300067A1 (en) | 2021-12-16 |
JP7282216B2 (ja) | 2023-05-26 |
JP2022536524A (ja) | 2022-08-17 |
CN114072839A (zh) | 2022-02-18 |
EP3994664A1 (en) | 2022-05-11 |
US10803604B1 (en) | 2020-10-13 |
MX2021015583A (es) | 2022-01-24 |
CA3141956A1 (en) | 2021-01-07 |
AU2020300067B2 (en) | 2023-02-23 |
BR112021024268A2 (pt) | 2022-01-11 |
WO2021001703A1 (en) | 2021-01-07 |
KR20220007882A (ko) | 2022-01-19 |
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