[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Wang, 2016 - Google Patents

A survey of visual analysis of human motion and its applications

Wang, 2016

View PDF
Document ID
10458893026237284940
Author
Wang Q
Publication year
Publication venue
arXiv preprint arXiv:1608.00700

External Links

Snippet

This paper summarizes the recent progress in human motion analysis and its applications. In the beginning, we reviewed the motion capture systems and the representation model of human's motion data. Next, we sketched the advanced human motion data processing …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

    • 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
    • G06K9/00221—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
    • 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
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • 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
    • G06K9/00335—Recognising movements or behaviour, e.g. recognition of gestures, dynamic facial expressions; Lip-reading
    • G06K9/00355—Recognition of hand or arm movements, e.g. recognition of deaf sign language
    • 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
    • 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T13/00—Animation
    • G06T13/20—3D [Three Dimensional] animation
    • G06T13/40—3D [Three Dimensional] animation of characters, e.g. humans, animals or virtual beings
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality

Similar Documents

Publication Publication Date Title
Yi et al. Physical inertial poser (pip): Physics-aware real-time human motion tracking from sparse inertial sensors
Kamal et al. A hybrid feature extraction approach for human detection, tracking and activity recognition using depth sensors
Sarafianos et al. 3d human pose estimation: A review of the literature and analysis of covariates
Elgammal et al. Tracking people on a torus
Lim et al. A feature covariance matrix with serial particle filter for isolated sign language recognition
Reily et al. Skeleton-based bio-inspired human activity prediction for real-time human–robot interaction
D'Sa et al. A survey on vision based activity recognition, its applications and challenges
Kim et al. Real-time dance evaluation by markerless human pose estimation
Liu et al. Human motion sensing and recognition
Haji Fathaliyan et al. Exploiting three-dimensional gaze tracking for action recognition during bimanual manipulation to enhance human–robot collaboration
Bandouch et al. A self-training approach for visual tracking and recognition of complex human activity patterns
Zhang et al. Bio-inspired predictive orientation decomposition of skeleton trajectories for real-time human activity prediction
Wang et al. Unsupervised temporal segmentation of repetitive human actions based on kinematic modeling and frequency analysis
Amaliya et al. Study on hand keypoint framework for sign language recognition
Shaw et al. Learning dexterity from human hand motion in internet videos
Wang A survey of visual analysis of human motion and its applications
Jenkins et al. Interactive human pose and action recognition using dynamical motion primitives
Usman et al. Skeleton-based motion prediction: A survey
Batool et al. Fundamental recognition of ADL assessments using machine learning engineering
Lee et al. Motion recognition and recovery from occluded monocular observations
Collins et al. Stroke patient daily activity observation system
Infantino et al. A cognitive architecture for robotic hand posture learning
Chen et al. Dynamic gesture design and recognition for human-robot collaboration with convolutional neural networks
Grimes et al. Learning to look by self-prediction
Liu et al. State-of-the-Art Elderly Service Robot: Environmental Perception, Compliance Control, Intention Recognition, and Research Challenges