Multi-resolution model-based traffic sign detection and tracking

Javier Marinas; Luis Salgado; Massimo Camplani

doi:10.1117/12.924884

1 May 2012 Multi-resolution model-based traffic sign detection and tracking

Javier Marinas, Luis Salgado, Massimo Camplani

Proceedings Volume 8437, Real-Time Image and Video Processing 2012; 84370W (2012) https://doi.org/10.1117/12.924884
Event: SPIE Photonics Europe, 2012, Brussels, Belgium

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.

Citation Download Citation

Javier Marinas, Luis Salgado, and Massimo Camplani "Multi-resolution model-based traffic sign detection and tracking", Proc. SPIE 8437, Real-Time Image and Video Processing 2012, 84370W (1 May 2012); https://doi.org/10.1117/12.924884

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KEYWORDS

Image segmentation

Detection and tracking algorithms

Image resolution

Filtering (signal processing)

Image processing

Databases

RGB color model

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