Papers Video-Based Person Re-Identification
“Video-Based Person Re-Identification” 태그가 달린 논문 117편 · 필터 해제
KeyRe-ID: Keypoint-Guided Person Re-Identification using Part-Aware Representation in Videos
We propose \textbf{KeyRe-ID}, a keypoint-guided video-based person re-identification framework consisting of global and local branches that leverage human keypoints for enhanced spatiotemporal representation learning. Th…
Person Re-IdentificationRepresentation LearningVideo-Based Person Re-IdentificationCausality and "In-the-Wild" Video-Based Person Re-ID: A Survey
Video-based person re-identification (Re-ID) remains brittle in real-world deployments despite impressive benchmark performance. Most existing models rely on superficial correlations such as clothing, background, or ligh…
counterfactualCounterfactual ReasoningDisentanglementFairness+4AG-VPReID: A Challenging Large-Scale Benchmark for Aerial-Ground Video-based Person Re-Identification
We introduce AG-VPReID, a challenging large-scale benchmark dataset for aerial-ground video-based person re-identification (ReID), comprising 6,632 identities, 32,321 tracklets, and 9.6 million frames captured from drone…
Person Re-IdentificationVideo-Based Person Re-IdentificationNot Every Patch is Needed: Towards a More Efficient and Effective Backbone for Video-based Person Re-identification
This paper proposes a new effective and efficient plug-and-play backbone for video-based person re-identification (ReID). Conventional video-based ReID methods typically use CNN or transformer backbones to extract deep f…
Person Re-IdentificationVideo-Based Person Re-IdentificationEvent-based Video Person Re-identification via Cross-Modality and Temporal Collaboration
Video-based person re-identification (ReID) has become increasingly important due to its applications in video surveillance applications. By employing events in video-based person ReID, more motion information can be pro…
Person Re-IdentificationVideo-Based Person Re-IdentificationCross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation Approach
In this paper, we construct a large-scale benchmark dataset for Ground-to-Aerial Video-based person Re-Identification, named G2A-VReID, which comprises 185,907 images and 5,576 tracklets, featuring 2,788 distinct identit…
Language ModelingLanguage ModellingPerson Re-IdentificationVideo-Based Person Re-IdentificationUnleashing the Potential of Tracklets for Unsupervised Video Person Re-Identification
With rich temporal-spatial information, video-based person re-identification methods have shown broad prospects. Although tracklets can be easily obtained with ready-made tracking models, annotating identities is still e…
Person Re-IdentificationVideo-Based Person Re-IdentificationGAF-Net: Video-Based Person Re-Identification via Appearance and Gait Recognitions
Video-based person re-identification (Re-ID) is a challenging task aiming to match individuals across various cameras based on video sequences. While most existing Re-ID techniques focus solely on appearance information,…
Person Re-IdentificationPose EstimationVideo-Based Person Re-IdentificationAttention-based Shape and Gait Representations Learning for Video-based Cloth-Changing Person Re-Identification
Current state-of-the-art Video-based Person Re-Identification (Re-ID) primarily relies on appearance features extracted by deep learning models. These methods are not applicable for long-term analysis in real-world scena…
Cloth-Changing Person Re-IdentificationGraph AttentionPerson Re-IdentificationVideo-Based Person Re-IdentificationFrom Synthetic to Real: Unveiling the Power of Synthetic Data for Video Person Re-ID
In this paper, we study a new problem of cross-domain video based person re-identification (Re-ID). Specifically, we take the synthetic video dataset as the source domain for training and use the real-world videos for te…
Domain AdaptationPerson IdentificationPerson Re-IdentificationVideo-Based Person Re-IdentificationImage-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+3SEAS: ShapE-Aligned Supervision for Person Re-Identification
We introduce SEAS using ShapE-Aligned Supervision to enhance appearance-based person re-identification. When recognizing an individual's identity existing methods primarily rely on appearance which can be influenced …
Person Re-IdentificationVideo-Based Person Re-IdentificationTF-CLIP: Learning Text-free CLIP for Video-based Person Re-Identification
Large-scale language-image pre-trained models (e.g., CLIP) have shown superior performances on many cross-modal retrieval tasks. However, the problem of transferring the knowledge learned from such models to video-based …
Cross-Modal RetrievalPerson Re-IdentificationVideo-Based Person Re-IdentificationVideo-based Person Re-identification with Long Short-Term Representation Learning
Video-based person Re-Identification (V-ReID) aims to retrieve specific persons from raw videos captured by non-overlapped cameras. As a fundamental task, it spreads many multimedia and computer vision applications. Howe…
Person Re-IdentificationRepresentation LearningVideo-Based Person Re-IdentificationTVPR: Text-to-Video Person Retrieval and a New Benchmark
Most existing methods for text-based person retrieval focus on text-to-image person retrieval. Nevertheless, due to the lack of dynamic information provided by isolated frames, the performance is hampered when the person…
Person Re-IdentificationPerson RetrievalRetrievalText based Person Retrieval+2Adversarial Self-Attack Defense and Spatial-Temporal Relation Mining for Visible-Infrared Video Person Re-Identification
In visible-infrared video person re-identification (re-ID), extracting features not affected by complex scenes (such as modality, camera views, pedestrian pose, background, etc.) changes, and mining and utilizing motion …
Adversarial AttackPerson Re-IdentificationVideo-Based Person Re-IdentificationDeeply-Coupled Convolution-Transformer with Spatial-temporal Complementary Learning for Video-based Person Re-identification
Advanced deep Convolutional Neural Networks (CNNs) have shown great success in video-based person Re-Identification (Re-ID). However, they usually focus on the most obvious regions of persons with a limited global repres…
Person Re-IdentificationVideo-Based Person Re-IdentificationDeep Learning for Video-based Person Re-Identification: A Survey
Video-based person re-identification (video re-ID) has lately fascinated growing attention due to its broad practical applications in various areas, such as surveillance, smart city, and public safety. Nevertheless, vide…
Deep LearningPerson Re-IdentificationSurveyVideo-Based Person Re-IdentificationAerial-Ground Person Re-ID
Person re-ID matches persons across multiple non-overlapping cameras. Despite the increasing deployment of airborne platforms in surveillance, current existing person re-ID benchmarks' focus is on ground-ground matching …
Person Re-IdentificationVideo-Based Person Re-IdentificationMulti-Stage Spatio-Temporal Aggregation Transformer for Video Person Re-identification
In recent years, the Transformer architecture has shown its superiority in the video-based person re-identification task. Inspired by video representation learning, these methods mainly focus on designing modules to extr…
AttributePerson Re-IdentificationRepresentation LearningVideo-Based Person Re-Identification