Share Email Print
cover

Proceedings Paper

Vehicle passes detector based on multi-sensor analysis
Author(s): D. Bocharov; D. Sidorchuk; I. Konovalenko; I. Koptelov
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The study concerned deals with a new approach to the problem of detecting vehicle passes in vision-based automatic vehicle classification system. Essential non-affinity image variations and signals from induction loop are the events that can be considered as detectors of an object presence. We propose several vehicle detection techniques based on image processing and induction loop signal analysis. Also we suggest a combined method based on multi-sensor analysis to improve vehicle detection performance. Experimental results in complex outdoor environments show that the proposed multi-sensor algorithm is effective for vehicles detection.

Paper Details

Date Published: 14 February 2015
PDF: 5 pages
Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 944510 (14 February 2015); doi: 10.1117/12.2181378
Show Author Affiliations
D. Bocharov, Moscow Institute of Physics and Technology (Russian Federation)
Visillect Service Ltd. (Russian Federation)
D. Sidorchuk, Moscow Institute of Physics and Technology (Russian Federation)
Visillect Service Ltd. (Russian Federation)
I. Konovalenko, Moscow Institute of Physics and Technology (Russian Federation)
Institute for Information Transmission Problems (Russian Federation)
Visillect Service Ltd. (Russian Federation)
I. Koptelov, Visillect Service Ltd. (Russian Federation)


Published in SPIE Proceedings Vol. 9445:
Seventh International Conference on Machine Vision (ICMV 2014)
Antanas Verikas; Branislav Vuksanovic; Petia Radeva; Jianhong Zhou, Editor(s)

© SPIE. Terms of Use
Back to Top