Shape Features of Overlapping Boundary for Classification of Moving Vehicles

2. Related Works

In literature, we can find a number of works on classification of vehicles in traffic videos. Sullivan et al., (1997) proposed a 3D model matching scheme to classify vehicles into various types like wagon, sedan, hatchback, etc. Although, 3D features obtained from stereo cameras might be useful for categorizing different classes of vehicles, the computational time of 3D model approaches are very high and classification of vehicles relies on detailed geometric of various types of traffic vehicles which might not be available all the time.

In Buch et al. (2009), they utilized a combined detector and classifier based on 3D wire frame models to locate ground plane position of vehicles. They generated motion silhouettes for an input video frame. The motion silhouettes are then applied to generate vehicle hypotheses. The classifier matches 3D wire frame models with the motion silhouettes. To validate the hypotheses, the normalized overlap area of motion silhouettes and projected model silhouettes are calculated. The classification results are used in the data association of the tracker to improve consistency and noise suppression.