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

Ahmed et al., 2017 - Google Patents

Human gender classification based on gait features using kinect sensor

Ahmed et al., 2017

View PDF
Document ID
3421924055014339344
Author
Ahmed M
Sabir A
Publication year
Publication venue
2017 3rd IEEE international conference on cybernetics (Cybconf)

External Links

Snippet

Gender classification is an important task in video surveillance. Terrorists and other criminals mostly act from a distance. Therefore, it is proposed that a gait-based method that recognizes humans remotely is required. In this paper, we propose a new method of gait …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • 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
    • G06K9/00362—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
    • 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
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
    • 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
    • G06K9/00288—Classification, e.g. identification
    • 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
    • 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
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30196—Human being; Person
    • 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
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00771—Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
    • 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
    • G06K9/00006—Acquiring or recognising fingerprints or palmprints

Similar Documents

Publication Publication Date Title
Ahmed et al. Human gender classification based on gait features using kinect sensor
Singh et al. Vision-based gait recognition: A survey
Yoo et al. Automated markerless analysis of human gait motion for recognition and classification
Zeng et al. Silhouette-based gait recognition via deterministic learning
Tafazzoli et al. Model-based human gait recognition using leg and arm movements
Gianaria et al. Gait characterization using dynamic skeleton acquisition
Ahmed et al. Gait recognition based on Kinect sensor
Gianaria et al. Human classification using gait features
Shirke et al. Literature review: Model free human gait recognition
Kovač et al. Human skeleton model based dynamic features for walking speed invariant gait recognition
Monir et al. Rotation and scale invariant posture recognition using Microsoft Kinect skeletal tracking feature
Mastorakis et al. Fall detection without people: A simulation approach tackling video data scarcity
Krzeszowski et al. Gait recognition based on marker-less 3D motion capture
Bhargavas et al. Human identification using gait recognition
Prathap et al. Gait recognition using skeleton data
Schneider et al. Activity recognition using imagery for smart home monitoring
Sabir et al. Human gait identification using Kinect sensor
Ahmed Kinect-based human gait recognition using static and dynamic features
Sadeghzadehyazdi et al. Glidar3dj: a view-invariant gait identification via flash lidar data correction
Sadeghzadehyazdi et al. GlidarCo: gait recognition by 3D skeleton estimation and biometric feature correction of flash lidar data
Kim et al. Human gait recognition based on integrated gait features using kinect depth cameras
Ng et al. Multi-view gait based human identification system with covariate analysis.
Ahmed et al. Khgi: Kinect-based human gait identification using statistical moments
An et al. Support vector machine algorithm for human fall recognition kinect-based skeletal data
Kim et al. Gait recognition for human identification using kinect