Having accurate knowledge of the positions of people around a robot provides rich,
objective and quantitative data that can be highly useful for a wide range of tasks, including …

This paper presents a self-supervised approach for learning to associate object detections in
a video sequence as often required in tracking-by-detection systems. In this paper we focus …

Object tracking and classification serve as basic components for the different perception
tasks of autonomous robots. They provide the robot with the capability of class-aware …

The ability to track moving people is a key aspect of autonomous robot systems in real-world
environments. Whilst for many tasks knowing the approximate positions of people may be …

We propose a novel efficient online method for tracking performers on stage. Most existing
tracking methods have focused on using expensive, high-performing sensors, such as …

Detecting and tracking people is a key requirement in the development of robotic
technologies intended to operate in human environments. In crowded environments such as …

We propose laser scanner sensor system based walking pattern and tracking method of
multiple human. This system uses laser scanners sensors and is applicable to wide and …

We propose laser scanner sensor system based walking pattern and tracking method of
multiple human. This system uses laser scanners sensors and is applicable to wide and …

This thesis considers perception systems for urban environments. It focuses on the task of
tracking dynamic objects and in particular on methods that can maintain the identities of …