Combining shadow detection and simulation for estimation of vehicle size and position
2009 (English)In: PATTERN RECOGNITION LETTERS, ISSN 0167-8655, Vol. 30, no 8, 751-759 p.Article in journal (Refereed) Published
This paper presents a method that combines shadow detection and a 3D box model including shadow simulation, for estimation of size and position of vehicles. We define a similarity measure between a simulated image of a 3D box, including the box shadow, and a captured image that is classified into background/foreground/shadow. The similarity Measure is used in all optimization procedure to find the optimal box state. It is shown in a number of experiments and examples how the combination shadow detection/simulation improves the estimation compared to just using detection or simulation, especially when the shadow detection or the simulation is inaccurate. We also describe a tracking system that utilizes the estimated 3D boxes, including highlight detection, spatial window instead of a time based window for predicting heading, and refined box size estimates by weighting accumulated estimates depending oil view. Finally, we show example results.
Place, publisher, year, edition, pages
2009. Vol. 30, no 8, 751-759 p.
Vehicle tracking, 3D box model, Object size estimation, Shadow detection, Shadow simulation
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-19420DOI: 10.1016/j.patrec.2009.03.005OAI: oai:DiVA.org:liu-19420DiVA: diva2:224936
Björn Johansson, Johan Wiklund, Per-Erik Forssén and Gösta Granlund, Combining shadow detection and simulation for estimation of vehicle size and position, 2009, PATTERN RECOGNITION LETTERS, (30), 8, 751-759.
Copyright: Elsevier Science B.V., Amsterdam.