Vision-based bicycle/motorcycle classification

Stefano Messelodi

doi:10.1016/j.patrec.2007.04.014

2007-10-01

PRE

Stefano Messelodi *

Carla Maria Modena

Gianni Cattoni

DOI：10.1016/j.patrec.2007.04.014

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摘要

En 中文

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. (c) 2007 Elsevier B.V. All rights reserved.

Keyword:

traffic monitoring

feature extraction

Support Vector Machine

vehicle classification

image analysis