For object detection algorithms, too few features lead to missed detection; at the same time, affected by the background of the water surface (Fefilatyev et al., 2012), the tracking algorithm will ...

Abstract: Single-object tracking based on computer vision facilitates the collection, analysis, and utilization of target information. Currently, the latest single-object tracking algorithms solely ...

Abstract: A multi-object tracking algorithm is proposed for road & bridge traffic scene. Firstly, background reconstruction was conducted based on a statistical model, and the background was updated ...

This project implements a multi-camera tracking system that combines YOLO object detection, epipolar geometry-based matching, triangulation and 3D tracking to provide 3D object localization and ...

In essence, it takes the mundane task of tracking objects to an entirely new platform, enabling users to select an object on the fly and have the algorithm immediately start tracking something new.

Researcher and PhD student Zdenek Kalal has developed a groundbreaking visual object tracking algorithm called Predator. This innovative system is capable of learning and improving its accuracy as ...

Object tracking : In this part, an extended Kalman filter is used to track vehicles over time, based on the lidar detections fused with camera detections. Data association and track management are ...

I just saw a video demonstrating a new object tracking algorithm developed as part of a Ph.D project. Zdenek Kalal is a Czech student at the University of Surrey in the United Kingdom. He ...