Vision-based bicycle/motorcycle classification

Authors:
Stefano Messelodi;Carla Maria Modena;Gianni Cattoni
Affiliations:
Fondazione Bruno Kessler-irst, Via Sommarive 18, I-38050 Povo, Trento, Italy;Fondazione Bruno Kessler-irst, Via Sommarive 18, I-38050 Povo, Trento, Italy;Universití degli Studi di Trento, Via Mesiano 77, Trento, Italy
Venue:
Pattern Recognition Letters
Year:
2007

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Abstract

We present a feature-based classifier that distinguishes bicycles from motorcycles in real-world traffic scenes. The algorithm extracts some visual features focusing on the wheel regions of the vehicles. It splits the problem into two sub-cases depending on the computed motion direction. The classification is performed by non-linear Support Vector Machines. Tests lead to a successful vehicle classification rate of 96.7% on video sequences taken from different road junctions in an urban environment.