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ICAPR
2005
Springer

Optical Flow-Based Segmentation of Containers for Automatic Code Recognition

10 years 4 months ago
Optical Flow-Based Segmentation of Containers for Automatic Code Recognition
This paper presents a method for accurately segmenting moving container trucks in image sequences. This task allows to increase the performance of a recognition system that must identify the container code in order to check the entrance of containers through a port gate. To achieve good tolerance to non uniform backgrounds and the presence of multiple moving containers, an optical flow-based strategy is proposed. The algorithm introduces a voting strategy to detect the largest planar surface that shows a uniform motion of advance. Then, the top and rear limits of this surface are detected by a fast and effective method that searches for the limit that maximizes some object / non-object ratios. The method has been tested offline with a set of prerecorded sequences, achieving satisfactory results.
Vicente Atienza, Ángel Rodas, Gabriela Andr
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where ICAPR
Authors Vicente Atienza, Ángel Rodas, Gabriela Andreu, Alberto Perez
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