Abstract: Aerial object detection is an important task and has received significant attention in recent years. Aerial images typically depict small and sparse instances against a simple background.

Abstract: This paper highlights the potential of a Human-In-the-Loop (HIL) in interactive object detection methods. Although automation in computer vision is advancing rapidly, certain critical tasks, ...

To strive to ensure this code is upheld by colleagues and co-workers. 10. to support colleagues and co-workers in following this code of ethics, to strive to ensure the code is upheld, and to not ...

3D motion detection uses radar to detect the distance of an object for improved accuracy and fewer false alerts compared with the standard camera. This technology also powers a bird’s eye aerial ...

This project implements a Flask web application that uses a YOLOv8 model for real-time object detection, tracking, region-wise counting, and speed estimation in videos. The system does a great job at ...

This project demonstrates the creation of a real-time object recognition system using MediaPipe and OpenCV. The system detects and classifies a small set of common objects (such as a cup, phone, etc.) ...