An Innovative Salient Object Detection Using Center-Dark Channel Prior

🔎 Multiple Object Tracking with Particle Filter

👀 A web app for detecting and counting objects in videos using YOLOv8 for detection and ByteTrack for tracking, with customizable regions of interest (ROIs) function.

A technical prototype to test the posibility of runinng object detection in the browser of your phone or computer

Implement SLAM, a robust method for tracking an object over time and mapping out its surrounding environment using elements of probability, motion models, linear algerbra.

🎨 Simplify rotoscoping with AI in Google Colab, creating high-quality alpha mattes effortlessly to save you time and enhance your workflow.

스마트 자율주행 쇼핑카트 with Scout mini ROS

Real-time Rear-Vehicle detection using HAAR Cascade Classifiers and OpenCV Trackers in combination. This project is a part of HPC Research Group from University of Wyoming - Department of Electrical engineering and Computer Science.

Object tracking implementation based on the VOT (Visual Object Tracking) 2017 Challenge. Developed in Python, it includes evaluation scripts, performance reports (Accuracy/Robustness), and benchmark sequences.

Tutorials of the "Mathemagics" behind computer vision before the deep learning era.

AI-powered vehicle surveillance system with YOLOv8 detection, DeepOCSORT tracking, license plate recognition, entry/exit classification, and a real-time Flask dashboard backed by MongoDB.