Papers Person Identification
“Person Identification” 태그가 달린 논문 125편 · 필터 해제
GaitFace: A Multimodal Dataset for Long-Range Person Identification
Efficient border control is becoming a significant global challenge, mainly due to severe congestion and extended passenger waiting times. To mitigate these bottlenecks and facilitate passenger flow, biometric technologi…
Person IdentificationPerson Identification from Contextual Motion
We consider the problem of identifying people based on their motion styles. We present a generative model describing the action instance creation process and derive a probabilistic identity inference scheme for two commo…
Person IdentificationMining Multi-Modality Spatio-Temporal Cues for Video Important Person Identification
Identifying key individuals in video scenes is essential for applications such as automated video editing and intelligent surveillance. Current methods primarily focus on static images and immediate visual cues, overlook…
Person IdentificationAttriBE: Quantifying Attribute Expressivity in Body Embeddings for Recognition and Identification
Person re-identification (ReID) systems that match individuals across images or video frames are essential in many real-world applications. However, existing methods are often influenced by attributes such as gender, pos…
Person Re-IdentificationPerson IdentificationDrishti AI-Event Guardian: An Intelligent Real-Time Crowd Monitoring and Emergency Response System for Mass Gathering Events
Mass gathering events are associated with critical safety incidents caused by insufficient crowd monitoring and inadequate emergency response coordination. Traditional surveillance systems lack intelligent analytics, res…
Person IdentificationDensity EstimationAnomaly DetectionAttack Assessment and Augmented Identity Recognition for Human Skeleton Data
Machine learning models trained on small data sets for security applications are especially vulnerable to adversarial attacks. Person identification from LiDAR based skeleton data requires time consuming and expensive da…
Person IdentificationAdversarial AttackSPOT-Face: Forensic Face Identification using Attention Guided Optimal Transport
Person identification in forensic investigations becomes very challenging when common identification means for DNA (i.e., hair strands, soft tissue) are not available. Current methods utilize deep learning methods for fa…
Person IdentificationFace IdentificationFace RecognitionWhy Commodity WiFi Sensors Fail at Multi-Person Gait Identification: A Systematic Analysis Using ESP32
WiFi Channel State Information (CSI) has shown promise for single-person gait identification, raising interest in its use for contactless biometrics, continuous authentication, and passive identification. However, the fe…
Person IdentificationIs Visual Realism Enough? Evaluating Gait Biometric Fidelity in Generative AI Human Animation
Generative AI (GenAI) models have revolutionized animation, enabling the synthesis of humans and motion patterns with remarkable visual fidelity. However, generating truly realistic human animation remains a formidable c…
Person IdentificationGait RecognitionAdaptive Multimodal Person Recognition: A Robust Framework for Handling Missing Modalities
Person identification systems often rely on audio, visual, or behavioral cues, but real-world conditions frequently present with missing or degraded modalities. To address this challenge, we propose a multimodal person i…
Person IdentificationMulti-Task LearningCorVS: Person Identification via Video Trajectory-Sensor Correspondence in a Real-World Warehouse
Worker location data is key to higher productivity in industrial sites. Cameras are a promising tool for localization in logistics warehouses since they also offer valuable environmental contexts such as package status. …
Person IdentificationVisual TrackingDecoding Listeners Identity: Person Identification from EEG Signals Using a Lightweight Spiking Transformer
EEG-based person identification enables applications in security, personalized brain-computer interfaces (BCIs), and cognitive monitoring. However, existing techniques often rely on deep learning architectures at high co…
Person IdentificationEmotion RecognitionBeyond Sub-6 GHz: Leveraging mmWave Wi-Fi for Gait-Based Person Identification
Person identification plays a vital role in enabling intelligent, personalized, and secure human-computer interaction. Recent research has demonstrated the feasibility of leveraging Wi-Fi signals for passive person ident…
Person IdentificationBeyond Appearance: Transformer-based Person Identification from Conversational Dynamics
This paper investigates the performance of transformer-based architectures for person identification in natural, face-to-face conversation scenario. We implement and evaluate a two-stream framework that separately models…
Person IdentificationTransfer LearningmmHSense: Multi-Modal and Distributed mmWave ISAC Datasets for Human Sensing
This article presents mmHSense, a set of open labeled mmWave datasets to support human sensing research within Integrated Sensing and Communication (ISAC) systems. The datasets can be used to explore mmWave ISAC for vari…
parameter-efficient fine-tuningPerson IdentificationGesture RecognitionPose EstimationPerson Identification from Egocentric Human-Object Interactions using 3D Hand Pose
Human-Object Interaction Recognition (HOIR) and user identification play a crucial role in advancing augmented reality (AR)-based personalized assistive technologies. These systems are increasingly being deployed in high…
Person IdentificationNot All Starting Points Are Equal: Pre-trained Priors and Their Outsized Impact on Person Identification
Recent years have seen an explosion of diverse general purpose pre-training methodologies for computer vision. However, the impact that these pre-training methodologies have on person identification tasks (re-id) remains…
Person IdentificationDomain AdaptationTransformer-Based Person Identification via Wi-Fi CSI Amplitude and Phase Perturbations
Wi-Fi sensing is gaining momentum as a non-intrusive and privacy-preserving alternative to vision-based systems for human identification. However, person identification through wireless signals, particularly without user…
Person IdentificationPrivacy PreservingDisenQ: Disentangling Q-Former for Activity-Biometrics
In this work, we address activity-biometrics, which involves identifying individuals across diverse set of activities. Unlike traditional person identification, this setting introduces additional challenges as identity c…
Person IdentificationHRIBench: Benchmarking Vision-Language Models for Real-Time Human Perception in Human-Robot Interaction
Real-time human perception is crucial for effective human-robot interaction (HRI). Large vision-language models (VLMs) offer promising generalizable perceptual capabilities but often suffer from high latency, which negat…
BenchmarkingPerson IdentificationQuestion AnsweringSocial Navigation+2