Shadow detection for moving objects based on texture analysis (Articolo in rivista)

Type

• Prodotto della ricerca (Classe)
• Articolo in rivista (Classe)

Label

• Shadow detection for moving objects based on texture analysis (Articolo in rivista) (literal)

Anno

• 2007-01-01T00:00:00+01:00 (literal)

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

• 10.1016/j.patcog.2006.09.017 (literal)

Alternative label

• Leone A, Distante C (2007)
  Shadow detection for moving objects based on texture analysis
  in Pattern recognition
  (literal)

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

• Leone A, Distante C (literal)

Pagina inizio

• 1222 (literal)

Pagina fine

• 1233 (literal)

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

• 40 (literal)

Rivista

• Pattern recognition (Rivista)

Note

• ISI Web of Science (WOS) (literal)

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

• CNR-IMM, Sez. di Lecce (literal)

Titolo

• Shadow detection for moving objects based on texture analysis (literal)

Abstract

• This paper presents a new approach for shadow detection of moving objects in visual surveillance environment, improving localization, segmentation, tracking and classification of detected objects. An automatic segmentation procedure based on adaptive background difference is performed in order to detect potential shadow points so that, for all moving pixels, the approach evaluates the compatibility of photometric properties with shadow characteristics. The shadow detection approach is improved by evaluating the similarity between little textured patches, since shadow regions present same textural characteristics in each frame and in the corresponding adaptive background model. In this work we suggest a new approach to describe textural information in terms of redundant systems of functions. The algorithm is designed to be unaffected by scene type, background type or light conditions. Experimental results validate the algorithm's performance on a benchmark suite of indoor and outdoor video sequences. (literal)

Prodotto di

• Institute for microelectronics and microsystems (IMM) (Istituto)
• Sensori e Microsistemi Intelligenti per la Sicurezza e la Qualità della vita nei settori Agroalimentare, Trasporti ed \"Ambient Assisted Living\" (MD.P05.010.001) (Modulo)

Autore CNR

• ALESSANDRO LEONE (Persona)
• COSIMO DISTANTE (Unità di personale interno)

Incoming links:

Prodotto

• Institute for microelectronics and microsystems (IMM) (Istituto)
• Sensori e Microsistemi Intelligenti per la Sicurezza e la Qualità della vita nei settori Agroalimentare, Trasporti ed \"Ambient Assisted Living\" (MD.P05.010.001) (Modulo)

Autore CNR di

• COSIMO DISTANTE (Unità di personale interno)
• ALESSANDRO LEONE (Persona)

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

• Pattern recognition (Rivista)