Multi-resolution model-based traffic sign detection and tracking

Marinas Mateos, Javier and Salgado Álvarez de Sotomayor, Luis and Camplani, Massimo (2012). Multi-resolution model-based traffic sign detection and tracking. In: "Real-Time Image and Video Processing 2012,", 18/04/2012 - 19/04/2012, Brussels, Belgium. pp. 1-13. https://doi.org/10.1117/12.924884.

Description

Title: Multi-resolution model-based traffic sign detection and tracking
Author/s:
  • Marinas Mateos, Javier
  • Salgado Álvarez de Sotomayor, Luis
  • Camplani, Massimo
Item Type: Presentation at Congress or Conference (Article)
Event Title: Real-Time Image and Video Processing 2012,
Event Dates: 18/04/2012 - 19/04/2012
Event Location: Brussels, Belgium
Title of Book: Real-Time Image and Video Processing 2012
Date: 2012
Volume: 8437
Subjects:
Freetext Keywords: Multi-resolution, inhibition areas, Kalman filter, real-time processing.
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

In this paper we propose an innovative approach to tackle the problem of traffic sign detection using a computer vision algorithm and taking into account real-time operation constraints, trying to establish intelligent strategies to simplify as much as possible the algorithm complexity and to speed up the process. Firstly, a set of candidates is generated according to a color segmentation stage, followed by a region analysis strategy, where spatial characteristic of previously detected objects are taken into account. Finally, temporal coherence is introduced by means of a tracking scheme, performed using a Kalman filter for each potential candidate. Taking into consideration time constraints, efficiency is achieved two-fold: on the one side, a multi-resolution strategy is adopted for segmentation, where global operation will be applied only to low-resolution images, increasing the resolution to the maximum only when a potential road sign is being tracked. On the other side, we take advantage of the expected spacing between traffic signs. Namely, the tracking of objects of interest allows to generate inhibition areas, which are those ones where no new traffic signs are expected to appear due to the existence of a TS in the neighborhood. The proposed solution has been tested with real sequences in both urban areas and highways, and proved to achieve higher computational efficiency, especially as a result of the multi-resolution approach.

More information

Item ID: 30491
DC Identifier: http://oa.upm.es/30491/
OAI Identifier: oai:oa.upm.es:30491
DOI: 10.1117/12.924884
Deposited by: Memoria Investigacion
Deposited on: 13 Sep 2014 08:06
Last Modified: 22 Sep 2014 11:49
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