Processing people on video using OpenVINO™
-
Updated
Jun 2, 2022
Processing people on video using OpenVINO™
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)
People identification through shape and geometry of hands. Based on a paper by Shefali Sharma et al.
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
A new re-ID baseline based on HRNet.
[TIP2021] Code for TIP2021 paper "Person Re-identification via Attention Pyramid"
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.
Official Pytorch Implementation of our paper: GAF-Net: Video-Based Person Re-Identification via Appearance and Gait Recognitions
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.
Person re-identification using PyTorch and NFormer architecture
LOMO Feature extraction for PRID. Contains extracted features of PRID450S dataset.
UAV Tracking for Smart Cities
Add a description, image, and links to the person-reidentification topic page so that developers can more easily learn about it.
To associate your repository with the person-reidentification topic, visit your repo's landing page and select "manage topics."