[Pedestron] Pedestrian Detection: The Elephant In The Room. On ArXiv 2020

🕶 A curated list of Tiny Object Detection papers and related resources.

Pedestrians detection and tracking using OpenCV on Python

Unofficially Pytorch implementation of High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection

A PyTorch Detectron codebase for domain adaptation of object detectors.

Mobilenet SSD based pedestrian detection

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

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

Faster R-CNN for pedestrian detection

A simple human recognition api for re-ID usage, power by paper https://arxiv.org/abs/1703.07737

Pedestrian Detection using Non Maximum Suppression

Single Shot Multibox Detector on Caltech pedestrian dataset

Use TensorFlow object detection API and MobileNet SSDLite model to train a pedestrian detector by using VOC 2007 + 2012 dataset

CenterNet used for pedestrian detection

The code for preparing the training data for crowd counting / segmentation algorithm.

The code of the Object Counting API, implemented with the YOLO algorithm and with the SORT algorithm

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

Pedestrain-Detection-using-Histogram-of-Oriented-Gradients, DSP

pedestrian detection in hazy weather

Where all the state-of-the-art computer vision Algorithms meet

Enabling Pedestrian Safety through Computer Vision techniques. A case study of the 2018 Uber autonomous car crash.

Computer vision system for tracking pedestrians in a scene observed by multiple cameras.

HOG implementation for pedestrian detection.

Lane depertaure and Yolo objection detection C++ Windows

An R API wrapper for the hystreet project https://hystreet.com/

Pedestrian detection with convolutional neural networks

People counter app is used for monitoring people at specific area.