person re-identification using deep learning
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Updated
Apr 2, 2021 - Jupyter Notebook
person re-identification using deep learning
Simple pipeline of person re-identification task using metric learning via tensorflow api
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)
Processing people on video using OpenVINO™
A new re-ID baseline based on HRNet.
[TIP2021] Code for TIP2021 paper "Person Re-identification via Attention Pyramid"
大四畢業專題 - A Human Tracking System (Multi-object tracking、Person reid、Face recognition)
Using multiple cameras to estimate the people's position. Works with OpenVINO toolkit.
PyTorch implementation for Person Reidentification using Deep RL
People identification through shape and geometry of hands. Based on a paper by Shefali Sharma et al.
A small project about person classification and re-indentification using PyTorch.
A person re-identification system for tracking suspicious people across multiple cameras. It uses Deep Metric Learning for feature extraction and grouping.
This contains a modification of a Siamese-like Neural network which uses Normalized X-Corr model.
A Deep Learning architecture with Convolutional Neural Networks for Person Re-identification task.
Use computer vision to help track runners
Person re-identification using PyTorch and NFormer architecture
Official Pytorch Implementation of our paper: GAF-Net: Video-Based Person Re-Identification via Appearance and Gait Recognitions
LOMO Feature extraction for PRID. Contains extracted features of PRID450S dataset.
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