Integrating Behavior-based Prediction for T racking Vehicles in Traffic Videos
Ales Fexa · 2007
Road vehicles usually remain within marked lanes. We study this hypothesis in particular to track road vehicles through extended periods of occlusion without, however, relying on 3D-models of occlud- ing foreground bodies. A potential onset of occlusion is detected by a fuzzy conjunction of large, facet-specific color changes and a low ratio of the number of pixels with a prediction-compatible Optical-Flow (OF) vector relative to the total number of pixels within a facet of the 3D- polyhedral vehicle model. Experimental results for the entire approach are presented.