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

Real-time Traffic and Pedestrian Counting (YOLOV3 in tensorflow2)

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

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

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

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

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

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

University of Glasgow, MSc Project

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

Taha

Standalone openvino pedestrian tracking demo project,

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