pedestrian-tracking

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

Real-time multi-person tracker using YOLO v3 and deep sort

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

People detection and tracking in stationary RGB cameras

Collection of papers, code, notebooks, datasets and other resources for Multi Object Tracking (Vehicle tracking, Pedestrian tracking) | Google colab

SFSORT: Scene Features-based Simple Online Real-Time Tracker

This repository is the official implementation of HeadHunter-T, the head tracker discussed in the CVPR paper, mentioned herewith.

It is a Pedestrian(Human) Detection which is developed using OpenCV Python

Code and data for "Towards Robust Human Trajectory Prediction in Raw Videos" IROS 2021

Code and GMVD Dataset for "Bringing Generalization to Deep Multi-view Pedestrian Detection". Accepted at WACV 2023 Workshop (Real-World Surveillance: Applications and Challenges).

The official implementation of CTIN model for Inertial Navigation

Human Trajectory Prediction in Socially Interacting Crowds Using a CNN-based Architecture

Generalized Multi-View Detection (GMVD) dataset curated using GTA V and Unity. Accepted at WACV 2023 Workshop (Real-World Surveillance: Applications and Challenges).

Crowd Analyzer is a Python application for analyzing pedestrian and crowd mobility patterns using computer vision and machine learning techniques.

Taha

University of Glasgow, MSc Project

Standalone openvino pedestrian tracking demo project,

Official project website for the ICRA 2025 paper "Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection"

Yolo-v3 and SORT(kalman filter) based pedestrian detector and tracker