@MISC{Kozempel2009,
 author = {Kozempel, Karsten and Reulke, Ralf},
 title = {Fast Vehicle Detection and Tracking in Aerial Image Bursts},
 year = {2009},
 abstract = {Caused by the rising interest in traffic surveillance for simulations and decision management many publications concentrate on automatic vehicle detection or tracking. Quantities and velocities of different car classes form the data basis for almost every traffic model. Especially during mass events or disasters a wide-area traffic monitoring on demand is needed which can only be provided by airborne systems. This means a massive amount of image information to be handled. In this paper we present a combination of vehicle detection and tracking which is adapted to the special restrictions given on image size and flow but nevertheless yields reliable information about the traffic situation. Combining a set of modified edge file={},
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 owner ={},
 timestamp ={},
 volume = {Volume 38, Part 3 / W4}
}