Abstract: Object detection in videos presents challenges such as motion blur, occlusions, and varying viewpoints, which traditional image-based models struggle to handle due to their inability to ...

This project implements real-time object detection using OpenCV and a pre-trained SSD MobileNet V3 model. The application can identify and label various objects from a webcam feed or uploaded images ...

In recent years, underwater object detection (UOD) has become a prominent research area in the computer vision community. However, existing UOD approaches are still vulnerable to underwater ...

Abstract: The continual growth of the computer vision and artificial intelligence fields overtime have provided the basis for more efficient and accurate surveillance. This paper examines the use of ...

Uses SSD MobileNet v3 for real-time object detection. Displays detected objects with confidence scores. Uses OpenCV to process video frames from the webcam. Starts the webcam and captures video. Runs ...

Sign up for The Media Today, CJR’s daily newsletter. In January 2024, news outlets in the greater Baltimore area rushed to report on a local scandal out of ...

1 Advanced Mining Technology Center, Universidad de Chile, Santiago, Chile 2 Department of Electrical Engineering, Universidad de Chile, Santiago, Chile Object detection is a key ability required by ...