A computer vision algorithm for analyzing microfluidic systems to estimate intraocular pressure (IOP)
-
Updated
Dec 14, 2025 - Python
A computer vision algorithm for analyzing microfluidic systems to estimate intraocular pressure (IOP)
A modular, lightweight multi-object tracking framework for pedestrian and vehicle tracking under occlusion and identity switching scenarios.
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Simple vehicle tracking system for highways using CCTV footage.
The open source implementation of 'Offline Tracking with Object Permanence', which aims to recover the occluded vehicle trajectories and reduce the identity switches caused by occlusions.
Multi-Camera Multi-Person Tracking
Project to determine pupil location and movement by using openCV.
Multiple Object Tracking
A License Plate Recognition System built using YOLO v8 in Python.
Object detection and tracking process using a pre-trained model for detection.
Tracking software to track the robots from SSL Vision. Publishes robot position and velocity information as ROS odom messages.
A Multiple Object Tracking problem with Drosophilla. Conducted as part of my Bioinformatics MSc in Collaboration with Imperial's Gilestro Laboratory
Developed a RPi prototype bot for surveillance with remote to perform object detection and tracking system using modern computer vision technology.
A short Python script that detects and tracks objects from video and then outputs video slices with the detected objects
A Real time Vehicle Detection and Tracking using YOLOv5 and SORT - Simple, online, and real time tracking of multiple objects in a video sequence.
SORT-Refactored is a cleaned-up and optimized version of the Simple Online and Realtime Tracker (SORT) codebase by Alex Bewley. This import-only package is designed for easy integration and modern best practices. Get efficient and easy-to-use object tracking today!
Depth-based people detection and tracking with YOLO and SORT/OC-SORT
Clone a project and improve the algorithms.
The gist of the AB3DMOT (a base-line of 3D multiple-object tracking).
Add a description, image, and links to the tracking-by-detection topic page so that developers can more easily learn about it.
To associate your repository with the tracking-by-detection topic, visit your repo's landing page and select "manage topics."