🕶 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

a collection of computer vision projects&tools. 计算机视觉方向项目和工具集合。

From Handcrafted to Deep Features for Pedestrian Detection: A Survey (TPAMI 2021)

Annotation data for JAAD (Joint Attention in Autonomous Driving) Dataset

[ECCV 2020] Codes and MultiviewX dataset for "Multiview Detection with Feature Perspective Transformation".

Deep learning based object tracking with line crossing and area intrusion detection

A newly built high-resolution dataset for object detection and pedestrian detection (IEEE TIP 2020)

Pedestrians detection and tracking using OpenCV on Python

SARL*: Deep RL based human-aware navigation for mobile robot in crowded indoor environments implemented in ROS.

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

Detects Pedestrians in images using HOG as a feature extractor and SVM for classification

deep learning person search in PyTorch.

A Vision-based Social Distancing and Critical Density Detection System for COVID-19

Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR

Mobilenet SSD based pedestrian detection

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🌊💧💦。