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.
Vehicle wheel detector using 2D filter banks
2004-01-01
874254 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
MAP1.01 Vehicle Wheel Detector using 2D Filter Banks
British Library Conference Proceedings | 2004
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