PT Unknown
AU Cesar Isaza
   Joaquin Salas
   Bogdan Raducanu
TI Toward the Detection of Urban Infrastructures Edge Shadows
BT 12th International Conference on Advanced Concepts for Intelligent Vision Systems
PY 2010
BP 30–37
VL 6474
IS I
DI 10.1007/978-3-642-17688-3_4
AB In this paper, we propose a novel technique to detect the shadows cast by urban infrastructure, such as buildings, billboards, and traffic signs, using a sequence of images taken from a fixed camera. In our approach, we compute two different background models in parallel: one for the edges and one for the reflected light intensity. An algorithm is proposed to train the system to distinguish between moving edges in general and edges that belong to static objects, creating an edge background model. Then, during operation, a background intensity model allow us to separate between moving and static objects. Those edges included in the moving objects and those that belong to the edge background model are subtracted from the current image edges. The remaining edges are the ones cast by urban infrastructure. Our method is tested on a typical crossroad scene and the results show that the approach is sound and promising.
ER