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Adaptive real-time segmentation in traffic scenes

Rodrigues T.

Machine Graphics and Vision

2004

Vol. 13, No. 1/2

39-52

Segmantation is a critical elemeny in any computer vision traffic monitoring system. In this paper a segmentation approach is presented with the aim obtain accurate, compact movement masks suitable for a subsequent tracking stage. Two different segmentation methods using bachground subtraction techniques for day and night operation are presented. The methods are designed for all weather, hard real-time operation in outdoor highway multilane scenes observed by a fixed camera. The kay elements presented are: a convenient non-linear image sub-sampling and rectification technique, an adaptive background model estimation and a dynamic adaptation of segmentation parameters.