Awesome Person Re-identification
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Updated
Jun 18, 2024
Awesome Person Re-identification
Monocular camera-based person tracking and identification ROS framework for person following robots
Convolutional Channel Features + Online boosting-based person identification for mobile robots
Celebrity Video Identification Based on Face Features
People Detector is a Python script that processes videos as input and performs individual people detection, tracking, and counting, using YOLOv5 and motpy. It then displays bounding boxes around each person, assigns unique IDs, and shows the count of people in the video frame.
Our Exploratory Project - On Person Identification
A state-of-the-art gait biometric identification system with Gradient Reversal Layer (GRL) for view-invariant learning.
Official implementation of 2VGait
Human Activity Recognition using sensors data and Person identification using sensors data
Deep Learning based Person Identification System using CNN and Transfer Learning with TensorFlow/Keras.
This repository contains the implementation of a novel approach to identify the subjects using PQRST fragments of the electrocardiogram (ECG) signal.
A Python-based voice-controlled face recognition assistant that identifies known people through a webcam and responds using speech synthesis in real time.
End-to-end deep learning framework for person identification and tracking using custom Convolutional Neural Networks (CNNs) built with TensorFlow/Keras for high-accuracy feature extraction.
Official implementation of LidarGSU
EEG based person Identification using the PhysioNet EEG Motor Movement/Imagery Dataset
Real-time person identification using YOLOv8-based facial recognition with deep learning — built for secure and accurate recognition in complex environments.
[Under Review] Implementation of CorVS+ 🐦⬛
Deep learning–based ECG biometric identification using Keras/TensorFlow with a Flask API and a React dashboard.
mm-ADL: Millimeter-wave radar point-cloud dataset for activities of daily living and fall-related movements.
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