Multi-target Multi-camera Person Tracking (M.S. Project at UCSB)
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Updated
Sep 21, 2024
Multi-target Multi-camera Person Tracking (M.S. Project at UCSB)
⛹️ Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
Tracking-by-Detection形式のMOT(Multi Object Tracking)について、 DetectionとTrackingの処理を分離して寄せ集めたフレームワーク(Tracking-by-Detection method MOT(Multi Object Tracking) is a framework that separates the processing of Detection and Tracking.)
Multi-modal Object Re-identification
[NeurIPS 2021] TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
[WACV23] A strong baseline for body part-based person re-identification
Awesome-Unsupervised-Person-Re-identification
SOTA Re-identification Methods and Toolbox
Use computer vision to help track runners
Torchreid: Deep learning person re-identification in PyTorch.
Awesome Person Re-identification
Joint Detection and Identification Feature Learning for Person Search
A New Strong and Simple Baseline Method for VI-ReID (Bridging the Gap: Multi-level Cross-modality Joint Alignment for Visible-infrared Person Re-identification)
(TPAMI2024) Official implementation of Paper ''A Versatile Framework for Multi-scene Person Re-identification''
C++ implementation of An Improved Association Pipeline for Multi-Person Tracking
State-of-the-art model for person re-identification in Multi-camera Multi-Target Tracking. Benchmarked on Market-1501 and DukeMTMTC-reID datasets.
Official Pytorch Implementation of our paper: GAF-Net: Video-Based Person Re-Identification via Appearance and Gait Recognitions
TOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification
A person re-identification system for tracking suspicious people across multiple cameras. It uses Deep Metric Learning for feature extraction and grouping.
AI Basketball Field Goal Percentage Tracker
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