Research

We are currently working on a traffic signs detection-recognition-tracking system.

This work is done in collaboration with LE2I (France - Le Creusot) under supervision of Yohan Fougerolle.

Our contribution is threefold:

• • Proposition of a new naive detection based on color and shape retrieval.

  • Using the information of the detection, we propose to recognize traffic sign using machine learning methods.

  • In order to perform to accelerate the process of detection-recognition, we propose to introduce a tracking module information already extracted in the two previous stages.

We develop a method allowing to track any kind of object inside a video.

Our method belongs to the group of features-based tracking method. In fact, features are detected in two consecutive images and correspondences are found.

Geometric transformation is estimated using the previous matching by the aid of a robust estimator.

The method proposes the following advantages:

• • Real-time computation.

  • Scale invariant.

  • Rotation invariant.

  • Partially robust to illumination changes.

  • Partially robust to occlusions.