Microsoft's own OneVision Video Recognizer may be novel, but if the folks in Redmond are seriously looking to take things next-level, they should probably cast their gaze across the pond. Zdenek Kalal ...

This project presents a hybrid object tracking algorithm that combines deep-learning–based object detection model (YOLOv8n) with a classical computer vision tracker (KCF), supported by data-driven ...

Abstract: Object tracking is one of the important research topics in the direction of computer vision. And occlusion, deformation and scale change are the most challenging issues in the realm of ...

Abstract: With the continuous development of aerial vehicle technology, Aerial Vehicle Multi-Object Tracking has become one of the key technologies in aerial vehicle applications. Due to problems such ...

The possibilities for such an accurate tracking system are endless. Predator’s ability to learn and adapt makes it a versatile tool for various applications. For instance, it can be used in ...

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 demonstrated ...

A robust and computationally efficient object tracking algorithm is developed by incorporating various tracking techniques. Physical properties of the objects, such as brightness temperature or ...

Generic object detection and tracking are fundamental and challenging tasks in computer vision. For 2D object detection, IMOU proposes an algorithm framework upon structural re-parameterization and ...