In: Stilla U, Rottensteiner F, Paparoditis N (Eds) CMRT09. IAPRS, Vol. XXXVIII, Part 3/W4 — Paris, France, 3-4 September, 2009
185
Figure 7: Results of the refinement process. Green: detected and tracked vehicles; Black: redundant objects eliminated by trajectory
analysis; Red: false alarms by velocity evaluation. Blue circle: false alarm which has not been eliminated.
5. DISCUSSION AND OUTLOOK
The presented concept shows a possibility to refine detection
and tracking results by velocity and trajectory evaluation.
This allows a more precise derivation of the average velocity
which is fed into traffic models. The benefit of this concept
affects exclusively the calculation of the average velocity. It
is not possible to counter the problem of low completeness,
since missed hits cannot be recovered. However, as has been
shown by the simulation in Sect. 2, a low false alarm rate is
essential for extrapolating the detection results. For low
detection rates, traffic flow parameters can still be estimated
with reasonable quality if the false alarm rate is small
enough.
Still, many more test scenes have to be evaluated in order to
give a more precise measure for the potential of this method.
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