AIMC Topic: Biometric Identification

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Gait-Based Implicit Authentication Using Edge Computing and Deep Learning for Mobile Devices.

Sensors (Basel, Switzerland) Jul 5, 2021
Implicit authentication mechanisms are expected to prevent security and privacy threats for mobile devices using behavior modeling. However, recently, researchers have demonstrated that the performance of behavioral biometrics is insufficiently accur...
Privacy Biometric Identification Computers, Handheld Deep Learning Gait
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Self-Training With Progressive Representation Enhancement for Unsupervised Cross-Domain Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jun 2, 2021
In recent years, person re-identification (re-ID) has achieved relatively good performance, benefiting from the revival of deep neural networks. However, due to the existence of domain bias which refers to the different data distributions between two...
Databases, Factual Unsupervised Machine Learning Biometric Identification Image Processing, Computer-Assisted Pedestrians Humans Algorithms
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Iterative Dynamic Generic Learning for Face Recognition From a Contaminated Single-Sample Per Person.

IEEE transactions on neural networks and learning systems Apr 2, 2021
This article focuses on a new and practical problem in single-sample per person face recognition (SSPP FR), i.e., SSPP FR with a contaminated biometric enrolment database (SSPP-ce FR), where the SSPP-based enrolment database is contaminated by nuisan...
Biometric Identification Biometry Deep Learning Automated Facial Recognition Humans Artificial Intelligence Neural Networks, Computer Machine Learning Algorithms Databases, Factual Feedback
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Person Reidentification via Unsupervised Cross-View Metric Learning.

IEEE transactions on cybernetics Mar 17, 2021
Person reidentification (Re-ID) aims to match observations of individuals across multiple nonoverlapping camera views. Recently, metric learning-based methods have played important roles in addressing this task. However, metrics are mostly learned in...
Image Processing, Computer-Assisted Cluster Analysis Unsupervised Machine Learning Humans Algorithms Pedestrians Biometric Identification
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Batch Coherence-Driven Network for Part-Aware Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Mar 9, 2021
Existing part-aware person re-identification methods typically employ two separate steps: namely, body part detection and part-level feature extraction. However, part detection introduces an additional computational cost and is inherently challenging...
Pedestrians Biometric Identification Deep Learning Image Processing, Computer-Assisted Humans
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Efficiently Updating ECG-Based Biometric Authentication Based on Incremental Learning.

Sensors (Basel, Switzerland) Feb 24, 2021
Recently, the interest in biometric authentication based on electrocardiograms (ECGs) has increased. Nevertheless, the ECG signal of a person may vary according to factors such as the emotional or physical state, thus hindering authentication. We pro...
Support Vector Machine Biometric Identification Humans Electrocardiography
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Multi-View Gait Image Generation for Cross-View Gait Recognition.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 22, 2021
Gait recognition aims to recognize persons' identities by walking styles. Gait recognition has unique advantages due to its characteristics of non-contact and long-distance compared with face and fingerprint recognition. Cross-view gait recognition i...
Gait Pedestrians Video Recording Biometric Identification Deep Learning Image Processing, Computer-Assisted Humans Databases, Factual
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Unsupervised Cross Domain Person Re-Identification by Multi-Loss Optimization Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 12, 2021
Unsupervised cross domain (UCD) person re-identification (re-ID) aims to apply a model trained on a labeled source domain to an unlabeled target domain. It faces huge challenges as the identities have no overlap between these two domains. At present,...
Databases, Factual Image Processing, Computer-Assisted Video Recording Humans Biometric Identification Algorithms Unsupervised Machine Learning
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HOReID: Deep High-Order Mapping Enhances Pose Alignment for Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 12, 2021
Despite the remarkable progress in recent years, person Re-Identification (ReID) approaches frequently fail in cases where the semantic body parts are misaligned between the detected human boxes. To mitigate such cases, we propose a novel High-Order ...
Databases, Factual Deep Learning Image Processing, Computer-Assisted Posture Humans Algorithms Semantics Biometric Identification
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Complementary Pseudo Labels for Unsupervised Domain Adaptation On Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 12, 2021
In recent years, supervised person re-identification (re-ID) models have received increasing studies. However, these models trained on the source domain always suffer dramatic performance drop when tested on an unseen domain. Existing methods are pri...
Databases, Factual Humans Image Processing, Computer-Assisted Algorithms Pedestrians Unsupervised Machine Learning Biometric Identification
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