http://www.cnr.it/ontology/cnr/individuo/prodotto/ID212963
Foreground Segmentation by Combining Color and Depth Images (Contributo in atti di convegno)
- Type
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- Foreground Segmentation by Combining Color and Depth Images (Contributo in atti di convegno) (literal)
- Anno
- 2013-01-01T00:00:00+01:00 (literal)
- Alternative label
Ottonelli S. Spagnolo P., Mazzeo P.L., Leo M. (2013)
Foreground Segmentation by Combining Color and Depth Images
in 6th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), Univ Porto, Funchal, PORTUGAL, June 5-7 2013
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Ottonelli S. Spagnolo P., Mazzeo P.L., Leo M. (literal)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- Pattern Recognition and Image Analysis IbPRIA 2013 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
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- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- CNR, Inst Intelligent Syst Automat, Via Amendola 122-DO, I-70126 Bari, Italy; (literal)
- Titolo
- Foreground Segmentation by Combining Color and Depth Images (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-3-642-38628-2 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
- Sanches, JM; Mico, L; Cardoso, JS (literal)
- Abstract
- Moving object detection is a crucial step in many application contexts such as people detection, action recognition, and visual surveillance for safety and security. The recent advance in depth camera technology has suggested the possibility to exploit a multi-sensor information (color and depth) in order to achieve better results in video segmentation. In this paper, we present a technique that combines depth and color image information and demonstrate its effectiveness through experiments performed on real image sequences recorded by means of a stereo camera. (literal)
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