deep-person-reid and ReID-Survey
Torchreid is a practical deep learning framework for implementing person re-identification models, while the ReID-Survey is a comprehensive review paper documenting the research landscape—making them complementary resources where the survey provides theoretical context and the framework enables practical implementation of surveyed methods.
About deep-person-reid
KaiyangZhou/deep-person-reid
Torchreid: Deep learning person re-identification in PyTorch.
This tool helps security analysts and surveillance operators track specific individuals across different camera feeds or video clips. You provide it with images or video of people, and it identifies and matches the same person even if their appearance or camera angle changes. It's designed for professionals managing large-scale surveillance or forensics tasks.
About ReID-Survey
mangye16/ReID-Survey
Deep Learning for Person Re-identification: A Survey and Outlook
This project offers a comprehensive overview and practical baselines for person and object re-identification using deep learning, particularly Transformers. It takes in various image and video datasets of people or animals and provides methods to accurately identify and track individuals across different camera views or over time. It is designed for researchers and engineers working in computer vision or surveillance.
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