@PhdThesis{diss_mods_00003056,
  author = 	{Woelk, J. Felix},
  title = 	{Visual detection of independently moving objects by a moving monocular observer},
  year = 	{2008},
  publisher = 	{Christian-Albrechts-Universit{\"a}t zu Kiel},
  address = 	{Kiel},
  keywords = 	{driver assistant system; optical flow; egomotion estimation; essential matrix; classification; Bayes; particle filter; time to contact; Fahrerassistenzsystem; Optischer Flu{\ss}; Eigenbewegungssch{\"a}tz; Klassifikation; Time to Contacr},
  abstract = 	{The development of a driver assistant system supporting drivers in complex intersection situations would be a major achievement for traffic safety, since many traffic accidents happen in such situations. While this is a highly complex task, which is still not accomplished, this thesis focused on one important and obligatory aspect of such systems: The visual detection of independently moving objects. Information about moving objects can, for example, be used in an attention guidance system, which is a central component of any complete intersection assistant system. The decision to base such a system on visual input had two reasons: (i) Humans gather their information to a large extent visually and (ii) cameras are inexpensive and already widely used in luxury and professional vehicles for specific applications. Mimicking the articulated human head and eyes, agile camera systems are desirable. To avoid heavy and sensitive stereo rigs, a small and lightweight monocular camera system mounted on a pan-tilt unit has been chosen as input device. In this thesis information about moving objects has been used to develop a prototype of an attention guidance system. It is based on the analysis of sequences from a single freely moving camera and on measurements from inertial sensors rigidly coupled with the camera system.},
  url = 	{https://macau.uni-kiel.de/receive/diss_mods_00003056},
  file = 	{:https://macau.uni-kiel.de/servlets/MCRFileNodeServlet/dissertation_derivate_00002488/diss_woelk_colour.pdf:PDF},
  language = 	{en}
}