Evaluation of a method for invariant and automated detection and tracking of objects from video
Lena M. Klasen, Haibo Li, Robert Forchheimer · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
Video generates a rich set of image information and often the useful information is only a very limited set of the available information. Another well-known fact is that visually reviewing of long video recording is a time demanding task. In combination with the continuously increasing number of video surveillance systems, this leads to an increasing need for automated analysis of long image sequences. The goal for this work is to develop and evaluate a method for automatic detection and tracking of events recorded onto a surveillance video, such as appearance of persons or vehicles in a surveyed area, to evaluate the usefulness for forensic applications and real time applications.