NDLI: Motion segmentation object detection in complex aquatic scenes and its surroundings

Content Provider	IEEE Xplore Digital Library
Author	Peixoto, N. Cardoso, N. Goncalves, P. Cardoso, P. Cabral, J. Tavares, A. Mendes, J.
Copyright Year	2012
Description	Author affiliation: Centro Algoritmi University of Minho, Portugal (Peixoto, N.; Cardoso, N.; Goncalves, P.; Cardoso, P.; Cabral, J.; Tavares, A.; Mendes, J.)
Abstract	This paper presents a novel segmentation approach for object detection in aquatic outdoor scenes such as swimming pools and its surroundings. This process is part of a video-based early drowning detection system for private swimming pools. Aquatic outdoor scenes are continuously changing due to reflections and refractions caused by water oscillation, severely affecting the results obtained by traditional segmentation schemes because water oscillation is perceived as motion detection of objects in the aquatic area. The novel segmentation technique is based in the separation of the special water environment and the rest of the scene, by means of an off-line automatically generated pool mask. The two areas are segmented with different algorithms, one for the aquatic scene and another for the surrounding area. Further, a two-step approach segmentation algorithm for the aquatic area was developed: the first segmentation step is based on the HSV invariant color model space; the second one consists in re-segmenting each region inside an expanded bounding box resulting from the first step. The second step increases segmentation quality up to 20%, as it captures parts of objects not detected before. The information extracted from the water surrounding area is also very important for object tracking and behaviour analysis purposes.
Starting Page	162
Ending Page	166
File Size	3677385
Page Count	5
File Format	PDF
ISBN	9781467303125
e-ISBN	9781467303118
DOI	10.1109/INDIN.2012.6300920
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Computer vision Hybrid Segmentation Motion Segmentation Classification algorithms Background Modeling Oscillators Image segmentation Image color analysis Motion segmentation Drowning Detection System Foreground Complex Aquatic Environment Water Surface Modeling Color Modeling
Content Type	Text
Resource Type	Article

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