Papers Gait Identification
“Gait Identification” 태그가 달린 논문 17편 · 필터 해제
OptiGait-LGBM: An Efficient Approach of Gait-based Person Re-identification in Non-Overlapping Regions
Gait recognition, known for its ability to identify individuals from a distance, has gained significant attention in recent times due to its non-intrusive verification. While video-based gait identification systems perfo…
Computational EfficiencyGait IdentificationGait RecognitionPerson Re-IdentificationA Wearable Gait Monitoring System for 17 Gait Parameters Based on Computer Vision
We developed a shoe-mounted gait monitoring system capable of tracking up to 17 gait parameters, including gait length, step time, stride velocity, and others. The system employs a stereo camera mounted on one shoe to tr…
Gait IdentificationHuman Body Pose Estimation for Gait Identification: A Comprehensive Survey of Datasets and Models
Person identification is a problem that has received substantial attention, particularly in security domains. Gait recognition is one of the most convenient approaches enabling person identification at a distance without…
Gait IdentificationGait RecognitionPerson IdentificationPose Estimation+1Gait Recognition Using 3-D Human Body Shape Inference
Gait recognition, which identifies individuals based on their walking patterns, is an important biometric technique since it can be observed from a distance and does not require the subject's cooperation. Recognizing a p…
Gait IdentificationGait RecognitionEvidence-based Match-status-Aware Gait Recognition for Out-of-Gallery Gait Identification
Existing gait recognition methods typically identify individuals based on the similarity between probe and gallery samples. However, these methods often neglect the fact that the gallery may not contain identities corres…
Gait IdentificationGait RecognitionRetrievalHuman Gait Analysis using Gait Energy Image
Gait recognition is one of the most recent emerging techniques of human biometric which can be used for security based purposes having unobtrusive learning method. In comparison with other bio-metrics gait analysis has s…
Gait IdentificationGait RecognitionGenerative GaitNet
Understanding the relation between anatomy andgait is key to successful predictive gait simulation. Inthis paper, we present Generative GaitNet, which isa novel network architecture based on deep reinforce-ment learning …
AnatomyGait IdentificationGait RecognitionGait Identification under Surveillance Environment based on Human Skeleton
As an emerging biological identification technology, vision-based gait identification is an important research content in biometrics. Most existing gait identification methods extract features from gait videos and identi…
Gait IdentificationLearning Rich Features for Gait Recognition by Integrating Skeletons and Silhouettes
Gait recognition captures gait patterns from the walking sequence of an individual for identification. Most existing gait recognition methods learn features from silhouettes or skeletons for the robustness to clothing, c…
Gait IdentificationGait RecognitionGait-based Human Identification through Minimum Gait-phases and Sensors
Human identification is one of the most common and critical tasks for condition monitoring, human-machine interaction, and providing assistive services in smart environments. Recently, human gait has gained new attention…
DescriptiveGait IdentificationBinarized Neural Networks for Resource-Constrained On-Device Gait Identification
User authentication through gait analysis is a promising application of discriminative neural networks -- particularly due to the ubiquity of the primary sources of gait accelerometry, in-pocket cellphones. However, conv…
BIG-bench Machine LearningGait IdentificationTaking Modality-free Human Identification as Zero-shot Learning
Human identification is an important topic in event detection, person tracking, and public security. There have been numerous methods proposed for human identification, such as face identification, person re-identificati…
AttributeEvent DetectionFace IdentificationGait Identification+2Rotation-Invariant Gait Identification with Quaternion Convolutional Neural Networks
A desireable property of accelerometric gait-based identification systems is robustness to new device orientations presented by users during testing but unseen during the training phase. However, traditional Convolutiona…
Gait IdentificationDeep CSI Learning for Gait Biometric Sensing and Recognition
Gait is a person's natural walking style and a complex biological process that is unique to each person. Recently, the channel state information (CSI) of WiFi devices have been exploited to capture human gait biometrics …
DenoisingGait IdentificationUser IdentificationRobust Cross-View Gait Recognition with Evidence: A Discriminant Gait GAN (DiGGAN) Approach
Gait as a biometric trait has attracted much attention in many security and privacy applications such as identity recognition and authentication, during the last few decades. Because of its nature as a long-distance biom…
Gait IdentificationGait RecognitionGenerative Adversarial NetworkYou Are How You Walk: Uncooperative MoCap Gait Identification for Video Surveillance with Incomplete and Noisy Data
This work offers a design of a video surveillance system based on a soft biometric -- gait identification from MoCap data. The main focus is on two substantial issues of the video surveillance scenario: (1) the walkers d…
Gait IdentificationDeepKey: An EEG and Gait Based Dual-Authentication System
Biometric authentication involves various technologies to identify individuals by exploiting their unique, measurable physiological and behavioral characteristics. However, traditional biometric authentication systems (e…
EEGElectroencephalogram (EEG)Face RecognitionGait Identification