Journal
PATTERN RECOGNITION LETTERS
Volume 28, Issue 13, Pages 1719-1726Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.patrec.2007.04.014
Keywords
traffic monitoring; feature extraction; Support Vector Machine; vehicle classification; image analysis
Categories
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available