KR102702448B1 - 장기적이고 지속적인 동물 행동 모니터링 - Google Patents
장기적이고 지속적인 동물 행동 모니터링 Download PDFInfo
- Publication number
- KR102702448B1 KR102702448B1 KR1020207006943A KR20207006943A KR102702448B1 KR 102702448 B1 KR102702448 B1 KR 102702448B1 KR 1020207006943 A KR1020207006943 A KR 1020207006943A KR 20207006943 A KR20207006943 A KR 20207006943A KR 102702448 B1 KR102702448 B1 KR 102702448B1
- Authority
- KR
- South Korea
- Prior art keywords
- delete delete
- animal
- neural network
- ellipse
- input video
- 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.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K1/00—Housing animals; Equipment therefor
- A01K1/02—Pigsties; Dog-kennels; Rabbit-hutches or the like
- A01K1/03—Housing for domestic or laboratory animals
- A01K1/031—Cages for laboratory animals; Cages for measuring metabolism of animals
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K29/00—Other apparatus for animal husbandry
- A01K29/005—Monitoring or measuring activity
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/28—Determining representative reference patterns, e.g. by averaging or distorting; Generating dictionaries
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
- G06T1/0007—Image acquisition
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/141—Control of illumination
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/143—Sensing or illuminating at different wavelengths
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
-
- 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
- G06V10/443—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 OR CALCULATING; 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 OR CALCULATING; 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
- G06V10/772—Determining representative reference patterns, e.g. averaging or distorting patterns; Generating dictionaries
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—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
- G06V10/776—Validation; Performance evaluation
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—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 OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
-
- 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
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
-
- 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
-
- 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
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
-
- 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
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
-
- 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
- G06T2207/30232—Surveillance
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Multimedia (AREA)
- Evolutionary Computation (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Environmental Sciences (AREA)
- Software Systems (AREA)
- Computing Systems (AREA)
- Medical Informatics (AREA)
- Databases & Information Systems (AREA)
- Biodiversity & Conservation Biology (AREA)
- Animal Husbandry (AREA)
- Data Mining & Analysis (AREA)
- Zoology (AREA)
- Biophysics (AREA)
- General Engineering & Computer Science (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Animal Behavior & Ethology (AREA)
- Clinical Laboratory Science (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- Human Computer Interaction (AREA)
- Image Analysis (AREA)
- Closed-Circuit Television Systems (AREA)
- Image Processing (AREA)
- Computational Linguistics (AREA)
- Mathematical Physics (AREA)
- Housing For Livestock And Birds (AREA)
- Compression Or Coding Systems Of Tv Signals (AREA)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| KR1020247029094A KR20240135869A (ko) | 2017-08-07 | 2018-08-07 | 장기적이고 지속적인 동물 행동 모니터링 |
Applications Claiming Priority (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201762542180P | 2017-08-07 | 2017-08-07 | |
| US62/542,180 | 2017-08-07 | ||
| US201862661610P | 2018-04-23 | 2018-04-23 | |
| US62/661,610 | 2018-04-23 | ||
| PCT/US2018/045676 WO2019032622A1 (en) | 2017-08-07 | 2018-08-07 | BEHAVIORAL ANIMAL BEHAVIORAL SURVEILLANCE CONTINUES |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| KR1020247029094A Division KR20240135869A (ko) | 2017-08-07 | 2018-08-07 | 장기적이고 지속적인 동물 행동 모니터링 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| KR20200038509A KR20200038509A (ko) | 2020-04-13 |
| KR102702448B1 true KR102702448B1 (ko) | 2024-09-04 |
Family
ID=65271742
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| KR1020247029094A Pending KR20240135869A (ko) | 2017-08-07 | 2018-08-07 | 장기적이고 지속적인 동물 행동 모니터링 |
| KR1020207006943A Active KR102702448B1 (ko) | 2017-08-07 | 2018-08-07 | 장기적이고 지속적인 동물 행동 모니터링 |
Family Applications Before (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| KR1020247029094A Pending KR20240135869A (ko) | 2017-08-07 | 2018-08-07 | 장기적이고 지속적인 동물 행동 모니터링 |
Country Status (7)
| Country | Link |
|---|---|
| US (3) | US11330804B2 (enExample) |
| EP (2) | EP4475075A3 (enExample) |
| JP (3) | JP7303793B2 (enExample) |
| KR (2) | KR20240135869A (enExample) |
| CN (2) | CN116918718A (enExample) |
| CA (1) | CA3071850A1 (enExample) |
| WO (1) | WO2019032622A1 (enExample) |
Families Citing this family (44)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11373452B2 (en) * | 2018-08-07 | 2022-06-28 | Georgetown University | Multidimensional analysis of gait in rodent |
| US11803974B2 (en) * | 2018-10-05 | 2023-10-31 | The Trustees Of Princeton University | Automated system to measure multi-animal body part dynamics |
| CN109993076A (zh) * | 2019-03-18 | 2019-07-09 | 华南理工大学 | 一种基于深度学习的白鼠行为分类方法 |
| US12490712B2 (en) | 2019-03-20 | 2025-12-09 | The Uab Research Foundation | Sensing and integrating data of environmental conditions in animal research |
| US12274243B2 (en) * | 2019-06-06 | 2025-04-15 | Neurocage Systems Ltd. | Systems and methods of homecage monitoring |
| US20220343621A1 (en) * | 2019-09-09 | 2022-10-27 | The Johns Hopkins University | Tracking system for identification of subjects |
| US11321927B1 (en) * | 2019-09-23 | 2022-05-03 | Apple Inc. | Temporal segmentation |
| US11222198B2 (en) * | 2019-11-21 | 2022-01-11 | International Business Machines Corporation | Video analysis system for optimizing an activity protocol |
| CN111539365B (zh) * | 2020-04-29 | 2022-08-23 | 兰州大学 | 一种动物行为分析方法、装置及电子设备 |
| CN111727905A (zh) * | 2020-06-22 | 2020-10-02 | 安徽正华生物仪器设备有限公司 | 基于深度学习的大小鼠旷场实验自动化分析系统和方法 |
| AU2021344967A1 (en) * | 2020-09-16 | 2023-05-04 | The Jackson Laboratory | Action detection using machine learning models |
| CN112237156B (zh) * | 2020-10-23 | 2022-07-22 | 宁波大学 | 一种小动物自主社交行为测试装置及实验方法 |
| US12408632B2 (en) * | 2021-02-02 | 2025-09-09 | Signify Holding B.V. | System and method for analyzing meting behavior of an animal species |
| US11803988B2 (en) * | 2021-03-15 | 2023-10-31 | Tencent America LLC | Method and apparatus for adaptive image compression with flexible hyperprior model by meta learning |
| CN113095268B (zh) * | 2021-04-22 | 2023-11-21 | 中德(珠海)人工智能研究院有限公司 | 一种基于视频流的机器人步态学习方法、系统及存储介质 |
| US12050261B2 (en) * | 2021-05-12 | 2024-07-30 | California State University Fresno Foundation | System and method for human and animal detection in low visibility |
| US11941080B2 (en) | 2021-05-20 | 2024-03-26 | Retrocausal, Inc. | System and method for learning human activities from video demonstrations using video augmentation |
| CN113255514B (zh) * | 2021-05-24 | 2023-04-07 | 西安理工大学 | 基于局部场景感知图卷积网络的行为识别方法 |
| US11582464B2 (en) * | 2021-06-23 | 2023-02-14 | Microsoft Technology Licensing, Llc | Using morphological operations to process frame masks in video content |
| CN113496214B (zh) * | 2021-07-05 | 2024-11-19 | 西湖大学 | 一种基于行为特征的动物身份离线追踪方法 |
| KR102417870B1 (ko) * | 2021-08-10 | 2022-07-06 | 인트플로우 주식회사 | 영상에 기반하여 동물 개체의 상태를 식별하는 장치 및 방법 |
| CN113744352B (zh) * | 2021-09-14 | 2022-07-29 | 北京观海科技发展有限责任公司 | 视觉空间标定方法、设备及存储介质 |
| US20250062040A1 (en) * | 2021-12-16 | 2025-02-20 | Pgi Drug Discovery Llc | Computer-based systems for acquiring and analyzing observational subject data |
| CN114286013B (zh) * | 2021-12-20 | 2024-07-02 | 苏州中科行智智能科技有限公司 | 一种结构光相机的自适应控制方法 |
| CN114532242B (zh) * | 2022-02-16 | 2023-02-28 | 深圳市元疆科技有限公司 | 一种小型动物行为研究实验箱 |
| CN114586689A (zh) * | 2022-03-17 | 2022-06-07 | 贵州医科大学 | 智能裸鼠培养笼 |
| CN114916452A (zh) * | 2022-05-26 | 2022-08-19 | 浙江理工大学 | Ivc环境参数对spf级实验动物热舒适影响测试装置 |
| CN115024244B (zh) * | 2022-06-17 | 2023-02-24 | 曲阜师范大学 | 一种基于红外旷场和Python分析的黑线仓鼠睡眠-觉醒检测系统、方法与应用 |
| KR102603396B1 (ko) | 2022-08-12 | 2023-11-20 | 주식회사 아이트 | 인공지능을 이용한 영상 감시 기반 개체 인식 및 행동패턴 분석 방법 및 시스템 |
| CN115238873B (zh) * | 2022-09-22 | 2023-04-07 | 深圳市友杰智新科技有限公司 | 神经网络模型部署方法、装置、计算机设备 |
| US20240138367A1 (en) * | 2022-10-27 | 2024-05-02 | Duke University | System and method for three-dimensional kinematic profiling of animal models |
| CN116091963B (zh) * | 2022-12-22 | 2024-05-17 | 广州奥咨达医疗器械技术股份有限公司 | 临床试验机构质量评估方法、装置、电子设备及存储介质 |
| CN116363745B (zh) * | 2022-12-30 | 2025-10-31 | 神思电子技术股份有限公司 | 一种基于计算机视觉的多标签行人异常行为识别方法 |
| KR102646871B1 (ko) * | 2023-01-31 | 2024-03-13 | 한국축산데이터 주식회사 | 축사 감시 카메라를 이용한 환경 변화 탐지 장치 및 방법 |
| KR20250149744A (ko) * | 2023-02-15 | 2025-10-16 | 더 잭슨 래보라토리 | 행동 분석 및 ai-강화 디지털 바이오마커 개발을 위한 시스템 및 방법 |
| CN116195524A (zh) * | 2023-03-08 | 2023-06-02 | 北京向中智牧科技有限公司 | 一种基于转盘式挤奶机的奶牛体况分析方法 |
| US20240381835A1 (en) * | 2023-05-16 | 2024-11-21 | Olden Labs, PBC. | Smart cage system and method for housing and assaying multiple vertebrate animals |
| WO2025042174A1 (ko) * | 2023-08-21 | 2025-02-27 | 전남대학교산학협력단 | 수염 자극 기반의 동물인지행동 실험 시스템 |
| CN117136872B (zh) * | 2023-09-27 | 2025-06-24 | 中国科学院昆明动物研究所 | 一种测试猕猴探索行为的装置及方法 |
| KR20250082923A (ko) | 2023-11-30 | 2025-06-09 | 성균관대학교산학협력단 | 설치류 행동 측정, 뇌신호 측정 및 조절을 위한 가상환경 제공 장치 및 그 제어방법 |
| WO2025145148A1 (en) * | 2023-12-29 | 2025-07-03 | The Jackson Laboratory | Methods and systems for non-invasive determination of animal mass |
| CN117912116B (zh) * | 2024-01-24 | 2024-07-02 | 北京林业大学 | 一种真实场景下野生动物姿态估计方法 |
| CN118071799B (zh) * | 2024-03-07 | 2025-01-28 | 北京理工大学 | 一种低光照条件下的多目标追踪方法及系统 |
| CN119376472B (zh) * | 2024-12-27 | 2025-03-25 | 西昌学院 | 基于机器学习的养殖环境调控方法和系统 |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013170129A1 (en) * | 2012-05-10 | 2013-11-14 | President And Fellows Of Harvard College | A system and method for automatically discovering, characterizing, classifying and semi-automatically labeling animal behavior and quantitative phenotyping of behaviors in animals |
| US20160150758A1 (en) * | 2013-06-28 | 2016-06-02 | The United States Of America, As Represented By The Secretary, Dept. Of Health And Human Services | Systems and methods of video monitoring for vivarium cages |
| US20160232440A1 (en) * | 2015-02-06 | 2016-08-11 | Google Inc. | Recurrent neural networks for data item generation |
Family Cites Families (43)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5792597A (en) * | 1991-02-28 | 1998-08-11 | Fuji Photo Film Co., Ltd. | Image forming method |
| US5903454A (en) * | 1991-12-23 | 1999-05-11 | Hoffberg; Linda Irene | Human-factored interface corporating adaptive pattern recognition based controller apparatus |
| US5576972A (en) * | 1992-05-08 | 1996-11-19 | Harrison; Dana C. | Intelligent area monitoring system |
| JP3270005B2 (ja) * | 1998-03-20 | 2002-04-02 | 勝義 川崎 | 実験動物の行動観察の自動化方法 |
| AU2002316146B2 (en) * | 2001-05-15 | 2007-09-06 | Psychogenics Inc. | Systems and methods for monitoring behaviour informatics |
| US6644244B2 (en) * | 2001-12-05 | 2003-11-11 | University Of Florida | Apparatus and methods for testing pain sensitivity |
| US8100552B2 (en) * | 2002-07-12 | 2012-01-24 | Yechezkal Evan Spero | Multiple light-source illuminating system |
| SE530339C2 (sv) * | 2006-07-13 | 2008-05-06 | Delaval Holding Ab | En apparat och förfarande för att igenkänna och bestämma en position |
| CN101681438A (zh) | 2007-03-02 | 2010-03-24 | 有机运动公司 | 跟踪三维对象的系统和方法 |
| US8189905B2 (en) * | 2007-07-11 | 2012-05-29 | Behavioral Recognition Systems, Inc. | Cognitive model for a machine-learning engine in a video analysis system |
| US8475354B2 (en) | 2007-09-25 | 2013-07-02 | Neosync, Inc. | Systems and methods for neuro-EEG synchronization therapy |
| CN201097536Y (zh) * | 2007-12-10 | 2008-08-13 | 东北农业大学 | 小鼠行为不间断观察监控系统 |
| RU2485393C2 (ru) * | 2008-01-17 | 2013-06-20 | Конинклейке Филипс Электроникс Н.В. | Осветительное устройство |
| CA2712775A1 (en) | 2008-01-23 | 2009-07-30 | Evan Goulding | Systems and methods for behavioral monitoring and calibration |
| CN100583128C (zh) * | 2008-06-12 | 2010-01-20 | 浙江大学 | 基于自然视频的实时智能监控方法 |
| KR20110053417A (ko) | 2008-09-08 | 2011-05-23 | 네드 엠. 아두트 | 디지털 비디오 필터 및 화상 처리 |
| WO2010057170A1 (en) | 2008-11-17 | 2010-05-20 | Cernium Corporation | Analytics-modulated coding of surveillance video |
| FR2948738A1 (fr) * | 2009-07-31 | 2011-02-04 | Guerletub | Systeme d'accrochage entre un premier element tubulaire s'etendant verticalement et au moins un deuxieme element tubulaire ou structurel s'etendant perpendiculairement au premier |
| KR101683291B1 (ko) * | 2010-05-14 | 2016-12-06 | 엘지전자 주식회사 | 디스플레이 장치 및 그의 제어 방법 |
| US9757037B2 (en) * | 2011-04-18 | 2017-09-12 | Universite De Geneve | In vivo bioluminescence monitoring apparatus |
| CN102521563A (zh) * | 2011-11-19 | 2012-06-27 | 江苏大学 | 基于椭圆拟合的猪行走姿态识别方法 |
| JP5639283B2 (ja) | 2011-11-25 | 2014-12-10 | 本田技研工業株式会社 | 車両周辺監視装置 |
| US9055733B2 (en) * | 2012-04-25 | 2015-06-16 | II Johnny Jones | Animal tracking system |
| JP2014106685A (ja) * | 2012-11-27 | 2014-06-09 | Osaka Univ | 車両周辺監視装置 |
| GB201305725D0 (en) * | 2013-03-28 | 2013-05-15 | Univ Leuven Kath | Automated monitoring of animal nutriment ingestion |
| US9195903B2 (en) * | 2014-04-29 | 2015-11-24 | International Business Machines Corporation | Extracting salient features from video using a neurosynaptic system |
| EP2957861A1 (en) * | 2014-06-17 | 2015-12-23 | Expert Ymaging, SL | Device and method for automated parameters calculation of an object |
| US10055850B2 (en) | 2014-09-19 | 2018-08-21 | Brain Corporation | Salient features tracking apparatus and methods using visual initialization |
| CN104244113B (zh) * | 2014-10-08 | 2017-09-22 | 中国科学院自动化研究所 | 一种基于深度学习技术的视频摘要生成方法 |
| US20160178228A1 (en) * | 2014-12-19 | 2016-06-23 | Zan Compute Inc. | Smart air duct cover |
| US10121064B2 (en) * | 2015-04-16 | 2018-11-06 | California Institute Of Technology | Systems and methods for behavior detection using 3D tracking and machine learning |
| US10176435B1 (en) * | 2015-08-01 | 2019-01-08 | Shyam Sundar Sarkar | Method and apparatus for combining techniques of calculus, statistics and data normalization in machine learning for analyzing large volumes of data |
| WO2017175025A2 (en) * | 2015-12-01 | 2017-10-12 | Yakov Shambik | Detecting visual information corresponding to an animal |
| US20170206426A1 (en) * | 2016-01-15 | 2017-07-20 | Ford Global Technologies, Llc | Pedestrian Detection With Saliency Maps |
| US20170245472A1 (en) * | 2016-02-25 | 2017-08-31 | VitalMetric, LLC | Environmental control for enclosures based on touch-less monitoring of animals |
| CN115500818B (zh) * | 2016-03-18 | 2025-08-12 | 哈佛大学校长及研究员协会 | 分析对象的运动以将其分成亚秒级模块的系统和方法 |
| US10810491B1 (en) * | 2016-03-18 | 2020-10-20 | Amazon Technologies, Inc. | Real-time visualization of machine learning models |
| US10398316B1 (en) * | 2016-09-30 | 2019-09-03 | Vium, Inc. | Method and apparatus for determining physiological characteristics of experimental animals based upon infrared and visible light images |
| CN108064745A (zh) * | 2016-11-17 | 2018-05-25 | 南京国雅信息科技有限公司 | 动物嚎叫监测系统以及基于机器学习的嚎叫状态识别方法 |
| CN108065938A (zh) * | 2016-11-17 | 2018-05-25 | 南京国雅信息科技有限公司 | 动物活动监测系统以及基于神经网络的活动状态识别方法 |
| CN106845411B (zh) | 2017-01-19 | 2020-06-30 | 清华大学 | 一种基于深度学习和概率图模型的视频描述生成方法 |
| US11553687B2 (en) * | 2017-05-12 | 2023-01-17 | Children's Medical Center Corporation | Devices for analyzing animal behavior |
| CN109871911A (zh) * | 2017-12-04 | 2019-06-11 | 昊翔电能运动科技(昆山)有限公司 | 无人机监测动物健康的方法和监测动物健康的无人机 |
-
2018
- 2018-08-07 JP JP2020507071A patent/JP7303793B2/ja active Active
- 2018-08-07 EP EP24208296.4A patent/EP4475075A3/en active Pending
- 2018-08-07 US US16/636,392 patent/US11330804B2/en active Active
- 2018-08-07 CN CN202311060612.5A patent/CN116918718A/zh active Pending
- 2018-08-07 CA CA3071850A patent/CA3071850A1/en active Pending
- 2018-08-07 KR KR1020247029094A patent/KR20240135869A/ko active Pending
- 2018-08-07 CN CN201880064637.3A patent/CN111225558B/zh active Active
- 2018-08-07 WO PCT/US2018/045676 patent/WO2019032622A1/en not_active Ceased
- 2018-08-07 EP EP18843419.5A patent/EP3664601B1/en active Active
- 2018-08-07 KR KR1020207006943A patent/KR102702448B1/ko active Active
-
2022
- 2022-04-07 US US17/715,832 patent/US11798167B2/en active Active
-
2023
- 2023-06-23 JP JP2023102972A patent/JP7696955B2/ja active Active
- 2023-09-07 US US18/463,277 patent/US12347112B2/en active Active
-
2025
- 2025-06-11 JP JP2025097482A patent/JP2025131797A/ja active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013170129A1 (en) * | 2012-05-10 | 2013-11-14 | President And Fellows Of Harvard College | A system and method for automatically discovering, characterizing, classifying and semi-automatically labeling animal behavior and quantitative phenotyping of behaviors in animals |
| US20160150758A1 (en) * | 2013-06-28 | 2016-06-02 | The United States Of America, As Represented By The Secretary, Dept. Of Health And Human Services | Systems and methods of video monitoring for vivarium cages |
| US20160232440A1 (en) * | 2015-02-06 | 2016-08-11 | Google Inc. | Recurrent neural networks for data item generation |
Non-Patent Citations (2)
| Title |
|---|
| F. Xu and K. Fujimura, ‘Human Detection Using Depth and Gray Images,’In Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS’03), 2023.07.22. (2023.07.22.) |
| J. Kim and V. Pavlovic, ‘A Shape-Based Approach for Salient Object Detection Using Deep Learning,’ ECCV 2016, Part IV, LNCS 9908, pp.455-470, 2016. |
Also Published As
| Publication number | Publication date |
|---|---|
| JP7303793B2 (ja) | 2023-07-05 |
| EP3664601A1 (en) | 2020-06-17 |
| EP3664601A4 (en) | 2021-04-28 |
| CA3071850A1 (en) | 2019-02-14 |
| US20220248642A1 (en) | 2022-08-11 |
| JP2023120383A (ja) | 2023-08-29 |
| US20230419498A1 (en) | 2023-12-28 |
| WO2019032622A9 (en) | 2019-04-04 |
| JP7696955B2 (ja) | 2025-06-23 |
| US12347112B2 (en) | 2025-07-01 |
| EP4475075A3 (en) | 2024-12-18 |
| WO2019032622A1 (en) | 2019-02-14 |
| US20200337272A1 (en) | 2020-10-29 |
| KR20200038509A (ko) | 2020-04-13 |
| EP3664601B1 (en) | 2024-11-27 |
| JP2025131797A (ja) | 2025-09-09 |
| CN111225558A (zh) | 2020-06-02 |
| JP2020530626A (ja) | 2020-10-22 |
| US11330804B2 (en) | 2022-05-17 |
| EP4475075A2 (en) | 2024-12-11 |
| CN111225558B (zh) | 2023-08-11 |
| CN116918718A (zh) | 2023-10-24 |
| US11798167B2 (en) | 2023-10-24 |
| KR20240135869A (ko) | 2024-09-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR102702448B1 (ko) | 장기적이고 지속적인 동물 행동 모니터링 | |
| Luxem et al. | Open-source tools for behavioral video analysis: Setup, methods, and best practices | |
| US10430533B2 (en) | Method for automatic behavioral phenotyping | |
| Weissbrod et al. | Automated long-term tracking and social behavioural phenotyping of animal colonies within a semi-natural environment | |
| Jhuang et al. | Automated home-cage behavioural phenotyping of mice | |
| US20170161554A9 (en) | Systems and Methods for Behavior Detection Using 3D Tracking and Machine Learning | |
| Mathis et al. | Markerless tracking of user-defined features with deep learning | |
| Hahn‐Klimroth et al. | Deep learning‐based pose estimation for African ungulates in zoos | |
| Farahnakian et al. | Pose estimation of sow and piglets during free farrowing using deep learning | |
| HK40031649A (en) | Long-term and continuous animal behavioral monitoring | |
| HK40031649B (en) | Long-term and continuous animal behavioral monitoring | |
| Jamali et al. | Rice-YOLO: An Automated Insect Monitoring in Rice Storage Warehouses with the Deep Learning Model | |
| El Arja | Neuromorphic perception for greenhouse technology using event-based sensors | |
| Rasamuel et al. | Specialized visual sensor coupled to a dynamic neural field for embedded attentional process | |
| Lyons et al. | A Kinect-based system for automatic recording of some pigeon behaviors | |
| Pau et al. | Visual Monitoring of Mice Wellness by Tiny Detectors | |
| Asali | Spatiotemporal Multimodal Representation Learning for Activity Understanding and Behavior Monitoring | |
| Liu et al. | GAE-YOLO: a lightweight multimodal detection framework for tomato smart agriculture with edge computing | |
| Cheng et al. | A Real-time Multi-Subject Three Dimensional Pose Tracking System for Analyzing Social Behaviors of Non-human Primates | |
| CN116129259A (zh) | 稻米植株叶片病害种类检测方法、系统、设备和介质 | |
| Yu et al. | Automated home-cage behavioral phenotyping of mice |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PA0105 | International application |
St.27 status event code: A-0-1-A10-A15-nap-PA0105 |
|
| PG1501 | Laying open of application |
St.27 status event code: A-1-1-Q10-Q12-nap-PG1501 |
|
| A201 | Request for examination | ||
| E13-X000 | Pre-grant limitation requested |
St.27 status event code: A-2-3-E10-E13-lim-X000 |
|
| P11-X000 | Amendment of application requested |
St.27 status event code: A-2-2-P10-P11-nap-X000 |
|
| P13-X000 | Application amended |
St.27 status event code: A-2-2-P10-P13-nap-X000 |
|
| PA0201 | Request for examination |
St.27 status event code: A-1-2-D10-D11-exm-PA0201 |
|
| P22-X000 | Classification modified |
St.27 status event code: A-2-2-P10-P22-nap-X000 |
|
| D13-X000 | Search requested |
St.27 status event code: A-1-2-D10-D13-srh-X000 |
|
| D14-X000 | Search report completed |
St.27 status event code: A-1-2-D10-D14-srh-X000 |
|
| E902 | Notification of reason for refusal | ||
| PE0902 | Notice of grounds for rejection |
St.27 status event code: A-1-2-D10-D21-exm-PE0902 |
|
| P22-X000 | Classification modified |
St.27 status event code: A-2-2-P10-P22-nap-X000 |
|
| P22-X000 | Classification modified |
St.27 status event code: A-2-2-P10-P22-nap-X000 |
|
| T11-X000 | Administrative time limit extension requested |
St.27 status event code: U-3-3-T10-T11-oth-X000 |
|
| P11-X000 | Amendment of application requested |
St.27 status event code: A-2-2-P10-P11-nap-X000 |
|
| P13-X000 | Application amended |
St.27 status event code: A-2-2-P10-P13-nap-X000 |
|
| E90F | Notification of reason for final refusal | ||
| PE0902 | Notice of grounds for rejection |
St.27 status event code: A-1-2-D10-D21-exm-PE0902 |
|
| T11-X000 | Administrative time limit extension requested |
St.27 status event code: U-3-3-T10-T11-oth-X000 |
|
| P11-X000 | Amendment of application requested |
St.27 status event code: A-2-2-P10-P11-nap-X000 |
|
| P13-X000 | Application amended |
St.27 status event code: A-2-2-P10-P13-nap-X000 |
|
| P22-X000 | Classification modified |
St.27 status event code: A-2-2-P10-P22-nap-X000 |
|
| E701 | Decision to grant or registration of patent right | ||
| PE0701 | Decision of registration |
St.27 status event code: A-1-2-D10-D22-exm-PE0701 |
|
| P22-X000 | Classification modified |
St.27 status event code: A-2-2-P10-P22-nap-X000 |
|
| PA0104 | Divisional application for international application |
St.27 status event code: A-0-1-A10-A18-div-PA0104 St.27 status event code: A-0-1-A10-A16-div-PA0104 |
|
| PR0701 | Registration of establishment |
St.27 status event code: A-2-4-F10-F11-exm-PR0701 |
|
| PR1002 | Payment of registration fee |
St.27 status event code: A-2-2-U10-U12-oth-PR1002 Fee payment year number: 1 |
|
| PG1601 | Publication of registration |
St.27 status event code: A-4-4-Q10-Q13-nap-PG1601 |