Multi-target Tracking

Many applications of video technology require multi-target tracking, for example for indoor or outdoor surveillance, intelligent vehicles, robotics, or experiments in biology. This book shows how specifica of targets influence the design of tracking methods. Four totally different types of targets are tracked, namely fruit flies (drosophila melanogaster), vehicles, pedestrians, and lane marks. The book presents methods for tracking of such targets under various recording settings (i.e. static, or moving cameras, monocular, binocular, or trinocular). In order to further improve the tracking performance, more specific methods are proposed and discussed for the different targets. This book starts with a comprehensive review of state-of-the-art multi-traget tracking methods. It is suitable for students or researchers who would like to have advise about tracking methods possibly applicable to their application, or who are contributing in the computer vision field to the design of tracking methods.

Autorentext

Junli Tao, PhD in Computer Science, University of Auckland. Honorary Academic, Auckland University of Technology.Reinhard Klette, PhD in Mathematics, Doctor of Science in Informatics, Friedrich Schiller University. Fellow of the Royal Society of New Zealand, director of the Centre for Robotics & Vision at Auckland University of Technology.