Tsuruda et al., 2021 - Google Patents
3D body parts tracking of mouse based on RGB-D video from under an open fieldTsuruda et al., 2021
- Document ID
- 2886349754403929368
- Author
- Tsuruda Y
- Akita S
- Yamanaka K
- Matsumoto Y
- Yamamoto M
- Sano Y
- Furuichi T
- Takemura H
- Publication year
- Publication venue
- 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
External Links
Snippet
The mouse is a valuable animal model to address the neural mechanism of higher brain function and test the pharmacodynamics of new drugs. The development of novel behavioral analysis to detect subtleties of emotion is valuable for the evolution of neuroscience …
- 210000001331 Nose 0 abstract description 30
Classifications
-
- G—PHYSICS
- G06—COMPUTING; 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
- G06T2207/30004—Biomedical image processing
-
- G—PHYSICS
- G06—COMPUTING; 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
- G06T2207/20112—Image segmentation details
-
- G—PHYSICS
- G06—COMPUTING; 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
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00268—Feature extraction; Face representation
- G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
-
- G—PHYSICS
- G06—COMPUTING; 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
- G06T2207/20212—Image combination
- G06T2207/20224—Image subtraction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00362—Recognising human body or animal bodies, e.g. vehicle occupant, pedestrian; Recognising body parts, e.g. hand
- G06K9/00369—Recognition of whole body, e.g. static pedestrian or occupant recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K2209/00—Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Fang et al. | Pose estimation and behavior classification of broiler chickens based on deep neural networks | |
Shi et al. | An automatic method of fish length estimation using underwater stereo system based on LabVIEW | |
Bian et al. | A deep learning model for detection and tracking in high-throughput images of organoid | |
Pedersen et al. | 3d-zef: A 3d zebrafish tracking benchmark dataset | |
CN112686928B (en) | Moving target visual tracking method based on multi-source information fusion | |
Al-Jubouri et al. | An automated vision system for measurement of zebrafish length using low-cost orthogonal web cameras | |
Wang et al. | An automated behavior analysis system for freely moving rodents using depth image | |
Lamping et al. | ChickenNet-an end-to-end approach for plumage condition assessment of laying hens in commercial farms using computer vision | |
Tsuruda et al. | 3D body parts tracking of mouse based on RGB-D video from under an open field | |
EP3769036B1 (en) | Method and system for extraction of statistical sample of moving fish | |
Kanaujia et al. | 3D human pose and shape estimation from multi-view imagery | |
CN108573226B (en) | Drosophila larva body node key point positioning method based on cascade posture regression | |
CN108830881B (en) | Video tracking method and device for moving creature | |
Farah et al. | Rat: Robust animal tracking | |
Paletta et al. | FACTS-a computer vision system for 3D recovery and semantic mapping of human factors | |
Wu et al. | Online 3D behavioral tracking of aquatic model organism with a dual-camera system | |
Kim et al. | AVATAR: ai vision analysis for three-dimensional action in real-time | |
Kowalski et al. | A simultaneous localization and tracking method for a worm tracking system | |
Cui et al. | Trajectory simulation of badminton robot based on fractal brown motion | |
Lee et al. | Predicting Fruit Fly Behaviour using TOLC device and DeepLabCut | |
García-Garví et al. | Automation of Caenorhabditis elegans lifespan assay using a simplified domain synthetic image-based neural network training strategy | |
Charoenpong et al. | An experimental setup for measuring distance and duration of rat behavior | |
Jia et al. | Automatic lameness detection in dairy cows based on machine vision | |
Paletta et al. | An integrated system for 3D gaze recovery and semantic analysis of human attention | |
Lee et al. | Estimating animal pose using deep learning a trained deep learning model outperforms morphological analysis |