Multi-target tracking algorithms and filters underpin a broad spectrum of modern sensing applications by providing robust methodologies to estimate the trajectories of multiple moving objects amid ...

Abstract: Multi-object tracking (MOT) systems are crucial in various real-life applications, including smart video surveillance, traffic monitoring, robotics, sports analytics, customer behavior ...

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 it ...

Researchers have adapted deep learning techniques in a multi-object tracking framework, overcoming short-term occlusion and achieving remarkable performance without sacrificing computational speed.

Abstract: Visual object tracking (VOT) algorithms based on Transformer have excellent tracking performance, but they often neglect historical image information and are difficult to avoid interference ...

Our proposed HOMATracker comprises the following steps: (A) Object detection: A detector is used to locate the objects in each frame; (B) Instance-level appearance feature extraction: We involve a ...

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 ...