期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2009
卷号：XXXVIII-3/W4
页码：181-186
出版社：Copernicus Publications
摘要：Derivation of statistical traffic data is highly dependent on the balance of detection and false alarm rates. In case false alarms have not been eliminated in the initial detection phase, they are often subsequently tracked, though, resulting in trajectories that do not match the true traffic situation. This finally leads to derivation of erroneous traffic parameters within the individual road segments. In this paper, a method is described how to eliminate false alarms by evaluating the trajectories and velocities of a tracking procedure. Basically, two types of false alarms are considered which bias the statistics of traffic data: The first type deals with redundant detections that lead to multiple trajectories biasing the statistics. The second type comprises false alarms that belong to the static background inducing zero-velocity into the statistics. We show that the presented procedure is able to increase the total correctness of detection and tracking from 65% up to 95%which allows a much more precise calculation of traffic flow parameters.
