Motion segmentation through factorization. Application to night driving assistance

Abstract:

Intelligent vehicles are those equipped with sensors and information control systems that can assist human driving. In this context, we address the problem of detecting vehicles at night. The aim is to distinguish vehicles from lamp posts and traffic sign reflections by grouping the blob trajectories according to their apparent motion. We have adapted two factorization techniques, originally designed to estimate the scene structure from motion: the Costeira–Kanade and the Han–Kanade, named after their authors. Results on both vehicle existence in the field of view and motion segmentation are reported.

Año de publicación:

2006

Keywords:

Fuente:

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