Person Identification
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Benchmarks
Most implemented
Robust M-Estimation Based Bayesian Cluster Enumeration for Real Elliptically Symmetric Distributions
Weakly supervised discriminative feature learning with state information for person identification
HRIBench: Benchmarking Vision-Language Models for Real-Time Human Perception in Human-Robot Interaction
KNN-MMD: Cross Domain Wireless Sensing via Local Distribution Alignment
CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese Network
Papers
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 Attack