A 3D Neural Model for Video Analysis

Authors:
Lucia Maddalena;Alfredo Petrosino
Affiliations:
ICAR --National Research Council, Italy;DSA --University of Naples Parthenope, Italy
Venue:
Proceedings of the 2009 conference on Neural Nets WIRN09: Proceedings of the 19th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, May 28--30 2009
Year:
2009

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Abstract

We propose a 3D self organizing neural model for modeling both the background and the foreground in video, helping in distinguishing between moving and stopped objects in the scene. Our aim is to detect foreground objects in digital image sequences taken from stationary cameras and to distinguish them into moving and stopped objects by a model based approach. We show through experimental results that a good discrimination can be achieved for color video sequences that represent typical situations critical for vehicles stopped in no parking areas.