An Optical Flow Based Segmentation Method for Objects Extraction (Contributo in atti di convegno)

Type

• Prodotto della ricerca (Classe)
• Contributo in atti di convegno (Classe)

Label

• An Optical Flow Based Segmentation Method for Objects Extraction (Contributo in atti di convegno) (literal)

Anno

• 2006-01-01T00:00:00+01:00 (literal)

Alternative label

• Lodato Carmelo, Lopes Salvatore (2006)
  An Optical Flow Based Segmentation Method for Objects Extraction
  in Conference of the World-Academy-of-Science-Engineering-and-Technology, Vienna, 29-31 MARZO 2006
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Lodato Carmelo, Lopes Salvatore (literal)

Pagina inizio

• 41 (literal)

Pagina fine

• 46 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana

• 12 (literal)

Note

• ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• CNR-ICAR (literal)

Titolo

• An Optical Flow Based Segmentation Method for Objects Extraction (literal)

Abstract

• This paper describes a segmentation algorithm based on the cooperation of an optical flow estimation method with edge detection and region growing procedures. The proposed method has been developed as a pre-processing stage to be used in methodologies and tools for video/image indexing and retrieval by content. The addressed problem consists in extracting whole objects from background for producing images of single complete objects from videos or photos. The extracted images are used for calculating the object visual features necessary for both indexing and retrieval processes. The first task of the algorithm exploits the cues from motion analysis for moving area detection. Objects and background are then refined using respectively edge detection and region growing procedures. These tasks are iteratively performed until objects and background are completely resolved. The developed method has been applied to a variety of indoor and outdoor scenes where objects of different type and shape are represented on variously textured background. (literal)

Prodotto di

• Indicizzazione,annotazione e recupero di immagini e video per contenuto, per integrazione di media multidimensionali in piattaforme orientate ai servizi (ICT.P10.001.001) (Modulo)
• Institute for high performance computing and networking (ICAR) (Istituto)

Autore CNR

• SALVATORE LOPES (Unità di personale interno)
• CARMELO LODATO (Persona)

Incoming links:

Prodotto

• Institute for high performance computing and networking (ICAR) (Istituto)
• Indicizzazione,annotazione e recupero di immagini e video per contenuto, per integrazione di media multidimensionali in piattaforme orientate ai servizi (ICT.P10.001.001) (Modulo)

Autore CNR di

• SALVATORE LOPES (Unità di personale interno)
• CARMELO LODATO (Persona)