There are 17 repositories under pedestrian-detection topic.
🕶 A curated list of Tiny Object Detection papers and related resources.
[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021
The code of the Object Counting API, implemented with the YOLO algorithm and with the SORT algorithm
From Handcrafted to Deep Features for Pedestrian Detection: A Survey (TPAMI 2021)
Annotation data for JAAD (Joint Attention in Autonomous Driving) Dataset
Deep learning based object tracking with line crossing and area intrusion detection
Pedestrians detection and tracking using OpenCV on Python
A PyTorch Detectron codebase for domain adaptation of object detectors.
Unofficially Pytorch implementation of High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection
a collection of computer vision projects&tools. 计算机视觉方向项目和工具集合。
deep learning person search in PyTorch.
Detects Pedestrians in images using HOG as a feature extractor and SVM for classification
A Vision-based Social Distancing and Critical Density Detection System for COVID-19
Mobilenet SSD based pedestrian detection
Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR
detect the no of people every second entering building gate. #person-detection
一种基于YOLOv3/4的双流混合模态道路行人检测方法🌊💧💦。
Transformer Networks for Pedestrian Detection
pedestrian detection in hazy weather
Use TensorFlow object detection API and MobileNet SSDLite model to train a pedestrian detector by using VOC 2007 + 2012 dataset
Toolkits for the synthetic multiview pedestrian detection dataset, MultiviewX.
A simple human recognition api for re-ID usage, power by paper https://arxiv.org/abs/1703.07737
This source code implements our ECCV paper "task-conditioned domain adaptation for pedestrian detection in thermal imagery".
Faster R-CNN for pedestrian detection
It is a Pedestrian(Human) Detection which is developed using OpenCV Python
CenterNet used for pedestrian detection
[CVPR2022] "Progressive End-to-End Object Detection in Crowded Scenes" on Deformable-DETR.
A collection of HRNet applications (Please feel freely add your applications if not included)
Road object detection on Berkeley DeepDrive (BDD) 100k images with a total of 10 classes.
A faster pytorch implementation of 'Center and Scale Prediction (CSP) for pedestrain detection (CVPR19)'.
The code for preparing the training data for crowd counting / segmentation algorithm.