Authors:
Mikaël A. Mousse
1
;
Cina Motamed
2
and
Eugène C. Ezin
3
Affiliations:
1
Université du Littoral Côte d’Opale, Institut de Mathématiques et de Sciences Physiques and Université d’Abomey-Calavi, France
;
2
Université du Littoral Côte d’Opale, France
;
3
Institut de Mathématiques et de Sciences Physiques and Université d’Abomey-Calavi, Benin
Keyword(s):
Motion Detection, Codebook, Homography, Overlapping Camera, Information Fusion.
Related
Ontology
Subjects/Areas/Topics:
Image Processing
;
Informatics in Control, Automation and Robotics
;
Robotics and Automation
;
Vision, Recognition and Reconstruction
Abstract:
In this work, we address the problem of moving object detection from overlapping cameras. We based on
homographic transformation of the foreground information from multiple cameras to reference image. We
introduce a new algorithm based on Codebook to get each single views foreground information. This method
integrates a region based information into the original codebook algorithm and uses CIE L*a*b* color space
information. Once the foreground pixels are detected in each view, we approximate their contours with polygons
and project them into the ground plane (or into the reference plane). After this, we fuse polygons in
order to obtain foreground area. This fusion is based on geometric properties of the scene and on the quality
of each camera detection. Assessment of experiments using public datasets proposed for the evaluation of
single camera object detection demonstrate the performance of our codebook based method for moving object
detection in single view. Results using multi-ca
mera open dataset also prove the efficiency of our multi-view
detection approach.
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