Sample files for training a cascade classifier to detect human outlines using OpenCV
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Updated
Feb 9, 2019
Sample files for training a cascade classifier to detect human outlines using OpenCV
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
LOMO Feature extraction for PRID. Contains extracted features of PRID450S dataset.
Face recognition based on py_faster_rcnn: with ZF & VGG16
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".
[NeurIPS 2021] TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
detect the no of people every second entering building gate. #person-detection
Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable 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
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
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