Sample files for training a cascade classifier to detect human outlines using OpenCV
-
Updated
Feb 9, 2019
Sample files for training a cascade classifier to detect human outlines using OpenCV
LOMO Feature extraction for PRID. Contains extracted features of PRID450S dataset.
Face recognition based on py_faster_rcnn: with ZF & VGG16
Using encoder-decoder neural networks to learn representations of personal walking style, and generating person-specific gait for desired activities.
Implementation of Person Recognition System as Person Attendance Tracker, my bachelor thesis
[NeurIPS 2021] TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
Person Re-identification by Local Maximal Occurrence Representation and Metric Learning
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".
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
[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
TCSVT2018 Pedestrian Alignment Network for Large-scale Person Re-identification
ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
Awesome Person Re-identification
Add a description, image, and links to the person-recognition topic page so that developers can more easily learn about it.
To associate your repository with the person-recognition topic, visit your repo's landing page and select "manage topics."