Papers Person Recognition
“Person Recognition” 태그가 달린 논문 64편 · 필터 해제
Person Recognition at Altitude and Range: Fusion of Face, Body Shape and Gait
We address the problem of whole-body person recognition in unconstrained environments. This problem arises in surveillance scenarios such as those in the IARPA Biometric Recognition and Identification at Altitude and Ran…
Face RecognitionPerson RecognitionRTETAR+1DetReIDX: A Stress-Test Dataset for Real-World UAV-Based Person Recognition
Person reidentification (ReID) technology has been considered to perform relatively well under controlled, ground-level conditions, but it breaks down when deployed in challenging real-world settings. Evidently, this is …
Action RecognitionFederated Lifelong Person ReIDHuman DetectionPerson RecognitionFusion Based Hand Geometry Recognition Using Dempster-Shafer Theory
This paper presents a new technique for person recognition based on the fusion of hand geometric features of both the hands without any pose restrictions. All the features are extracted from normalized left and right han…
Person RecognitionMultimodal video analysis for crowd anomaly detection using open access tourism cameras
In this article, we propose the detection of crowd anomalies through the extraction of information in the form of time series from video format using a multimodal approach. Through pattern recognition algorithms and segm…
Anomaly DetectionDecision MakingPerson RecognitionTime SeriesImage-based human re-identification: Which covariates are actually (the most) important?
Human re-identification (re-ID) is nowadays among the most popular topics in computer vision, due to the increasing importance given to safety/security in modern societies. Being expected to sun in totally uncontrolled d…
Action RecognitionImage-To-Video Person Re-IdentificationPerson IdentificationPerson Recognition+3On the recognition of the game type based on physiological signals and eye tracking
Automated interpretation of signals yields many impressive applications from the area of affective computing and human activity recognition (HAR). In this paper we ask the question about possibility of cognitive activity…
Activity RecognitionHuman Activity RecognitionPerson RecognitionWeakly Supervised Face and Whole Body Recognition in Turbulent Environments
Face and person recognition have recently achieved remarkable success under challenging scenarios, such as off-pose and cross-spectrum matching. However, long-range recognition systems are often hindered by atmospheric t…
Face IdentificationPerson RecognitionM3Act: Learning from Synthetic Human Group Activities
The study of complex human interactions and group activities has become a focal point in human-centric computer vision. However, progress in related tasks is often hindered by the challenges of obtaining large-scale labe…
Activity RecognitionGroup Activity RecognitionInstance SegmentationPerson Recognition+3Person Recognition using Facial Micro-Expressions with Deep Learning
This study investigates the efficacy of facial micro-expressions as a soft biometric for enhancing person recognition, aiming to broaden the understanding of the subject and its potential applications. We propose a deep …
Deep LearningPerson RecognitionCN-Celeb-AV: A Multi-Genre Audio-Visual Dataset for Person Recognition
Audio-visual person recognition (AVPR) has received extensive attention. However, most datasets used for AVPR research so far are collected in constrained environments, and thus cannot reflect the true performance of AVP…
Person RecognitionMultimodal Adaptive Fusion of Face and Gait Features using Keyless attention based Deep Neural Networks for Human Identification
Biometrics plays a significant role in vision-based surveillance applications. Soft biometrics such as gait is widely used with face in surveillance tasks like person recognition and re-identification. Nevertheless, in p…
Person RecognitionA Brief Survey on Person Recognition at a Distance
Person recognition at a distance entails recognizing the identity of an individual appearing in images or videos collected by long-range imaging systems such as drones or surveillance cameras. Despite recent advances in …
Face VerificationPerson RecognitionPerson Re-IdentificationSurveyHuman Image Generation: A Comprehensive Survey
Image and video synthesis has become a blooming topic in computer vision and machine learning communities along with the developments of deep generative models, due to its great academic and application value. Many resea…
Data AugmentationImage GenerationPerson RecognitionSurvey+1Attribute De-biased Vision Transformer (AD-ViT) for Long-Term Person Re-identification
Person re-identification (re-ID) aims to retrieve images of the same identity from a gallery of person images across cameras and viewpoints. However, most works in person re-ID assume a short-term setting characterized b…
AttributePerson IdentificationPerson RecognitionPerson Re-Identification+1Expanding Accurate Person Recognition to New Altitudes and Ranges: The BRIAR Dataset
Face recognition technology has advanced significantly in recent years due largely to the availability of large and increasingly complex training datasets for use in deep learning models. These datasets, however, typical…
Face RecognitionPerson RecognitionFacial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation, and COTS Evaluation
The role of soft biometrics to enhance person recognition systems in unconstrained scenarios has not been extensively studied. Here, we explore the utility of the following modalities: gender, ethnicity, age, glasses, be…
Face RecognitionPerson RecognitionA Multimodal Sensor Fusion Framework Robust to Missing Modalities for Person Recognition
Utilizing the sensor characteristics of the audio, visible camera, and thermal camera, the robustness of person recognition can be enhanced. Existing multimodal person recognition frameworks are primarily formulated assu…
Person RecognitionSensor FusionTripletT2V-DDPM: Thermal to Visible Face Translation using Denoising Diffusion Probabilistic Models
Modern-day surveillance systems perform person recognition using deep learning-based face verification networks. Most state-of-the-art facial verification systems are trained using visible spectrum images. But, acquiring…
Face VerificationPerson RecognitionThermal Image DenoisingTranslationThe 2021 NIST Speaker Recognition Evaluation
The 2021 Speaker Recognition Evaluation (SRE21) was the latest cycle of the ongoing evaluation series conducted by the U.S. National Institute of Standards and Technology (NIST) since 1996. It was the second large-scale …
Data AugmentationFace RecognitionPerson RecognitionSpeaker RecognitionExploring Body Texture from mmW Images for Person Recognition
Imaging using millimeter waves (mmWs) has many advantages including the ability to penetrate obscurants such as clothes and polymers. After having explored shape information retrieved from mmW images for person recogniti…
Face RecognitionPerson Recognition