A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......

High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019

[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021

A collection of deep learning based RGB-T-Fusion methods, codes, and datasets. The main directions involved are Multispectral Pedestrian Detection, RGB-T Aerial Object Detection, RGB-T Semantic Segmentation, RGB-T Crowd Counting, RGB-T Fusion Tracking.

KAIST Multispectral Pedestrian Detection Benchmark [CVPR '15]

Pedestrian detection using the TensorFlow Object Detection API. Includes multi GPU parallel processing inference.

Automatic pedestrian detection and monitoring system based on TensorFlow.基于TensorFlow的自动化行人检测（人体检测）和监控（视频监控）系统。

A list of resouces for multispectral pedestrian detection,including the datasets, methods, annotations and tools.

通过HOG+SVM训练进行行人检测，行人数据库使用INRIAPerson，程序基于OpenCV实现

Pedestrian Detection Papers

A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......

RGB-T Fusion, RGB-T SOD, RGB-T Vehicle Detection, RGB-T Crowd Counting, RGB-T Pedestrian Detection, RGB-T Semantic Segmeantaion, RGB-T Tracking

Real-Time Human Detection Using Contour Cues

Real Time Detection and Classification of Vehicles and Pedestrians Using Haar Cascade Classifier

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

The tutorials, datasets and source codes of the crosswalk detection (zebra crossing detection) network, which is robust in real scenes and real-time in Jetson nano. cross. detect. pedestrian.

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

Pytorch implementation of yolo_Nano for pedestrian detection

Mask-Guided Attention Network for Occluded Pedestrian Detection. (ICCV'19)

Object detection in Point Cloud is popular in HD Map and sensor-based autonomous driving. There basically four types of object you can obtain in daily scenario: road surface - contains painted lane marking and pavement area, support facility - contains road boundary (guardrail and curb), road sign, light pole, etc., uncorrelated object - for example, sidewalk, building, etc., and moving object - such like pedestrian, vehicle, bicycle, etc. In this project, please search references, design and prototype your road boundary (guardrail) detection algorithm.

Pedestrians detection and tracking using OpenCV on Python

Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems (ECCV 2020)

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

计算机视觉课程设计作业，检测图像中的行人目标并跟踪。

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[ECCV2024] Official implementation of the paper "When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset"

Pedestrian Detection with Faster R-CNN in TensorFlow

Joint Pedestrian Detection and Person Re-ID with PyTorch

DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets(CVPR2023),vaymo vehicle 3D Object Detection(top2), waymo cyclist 3D Object Detection(top1),waymo pedestrian 3D Object Detection(top1)

Pytorch implementation of Bi-box Regression for Pedestrian Detection and Occlusion Estimation (ECCV2018)