person-recognition

Awesome Person Re-identification

ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro

TCSVT2018 Pedestrian Alignment Network for Large-scale Person Re-identification

[ECCV 2020] QAConv: Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting, and [CVPR 2022] GS: Graph Sampling Based Deep Metric Learning

Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification

detect the no of people every second entering building gate. #person-detection

[NeurIPS 2021] TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification

Real-time multi-camera face tracking system with PyQt5 interface and alert notifications (including Telegram notifications). Supports webcams, RTSP streams, and provides face recognition with InsightFace models.

Temporal Lifting (TLift), a model-free temporal cooccurrence based score weighting method proposed in "Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting".

Person Re-identification by Local Maximal Occurrence Representation and Metric Learning

A iOS & macOS app offering a green screen feature and a virtual camera driver

Face recognition based on py_faster_rcnn: with ZF & VGG16

LOMO Feature extraction for PRID. Contains extracted features of PRID450S dataset.

Using encoder-decoder neural networks to learn representations of personal walking style, and generating person-specific gait for desired activities.

Person re-identification in open-world settings of retail stores and public spaces

Implementation of Person Recognition System as Person Attendance Tracker, my bachelor thesis

Game-Of-Frames is a android kotlin + jetpack compose COMPUTER VISION project, that can take any given video containing multiple characters, break the video into frames, and create shareable and downloadable, beautiful portrait collages for each of the characters, while also retaining the metadata for each like total appearances, screen time, etc.

Sample files for training a cascade classifier to detect human outlines using OpenCV