Vehicle wheel detector using 2D filter banks

Detecting vehicles from a moving vehicle is an important task. In this paper a new vehicle detector is introduced. The new vehicle detector employs the use of the ubiquitous wheel. Every car has wheels; this wheel detector finds wheels and infers vehicle location from the wheel detection. Views from an omnidirectional camera are used to generate side view images. These images are processed using a difference of Gaussian filter bank. The responses from the filter bank are applied to a precomputed set of principle components. The principle component responses are compared against a Gaussian mixture model of wheels and Gaussian model roadbed. Wheel candidates are chosen and tracked. Initial experimental results along with analysis are shown.