http://www.cnr.it/ontology/cnr/individuo/prodotto/ID95148
AN ENERGY-BASED BACKGROUND MODELLING ALGORITHM FOR MOTION DETECTION (Contributo in atti di convegno)
- Type
- Label
- AN ENERGY-BASED BACKGROUND MODELLING ALGORITHM FOR MOTION DETECTION (Contributo in atti di convegno) (literal)
- Anno
- 2006-01-01T00:00:00+01:00 (literal)
- Alternative label
P.Spagnolo, M. Leo, T. D'Orazio, A.Caroppo, T. Martiriggiano (2006)
AN ENERGY-BASED BACKGROUND MODELLING ALGORITHM FOR MOTION DETECTION
in 3th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2006, Setubal
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- P.Spagnolo, M. Leo, T. D'Orazio, A.Caroppo, T. Martiriggiano (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto
- Detecting moving objects is very important in many application contexts such as people detection, visual surveillance, automatic generation of video effects, and so on. The first and fundamental step of all motion
detection algorithms is the background modeling. The goal of the methodology here proposed is to create a background model substantially independent from each hypothesis about the training phase, as the presence
of moving persons, moving background objects, and changing (sudden or gradual) light conditions. We propose an unsupervised approach that combines the results of temporal analysis of pixel intensity with a
sliding window procedure to preserve the model from the presence of foreground moving objects during the building phase. Moreover, a multilayered approach has been implemented to handle small movements in
background objects. The algorithm has been tested in many different contexts, such as a soccer stadium, a parking area, a street, a beach. Finally, it has been tested even on the CAVIAR 2005 dataset. (literal)
- Titolo
- AN ENERGY-BASED BACKGROUND MODELLING ALGORITHM FOR MOTION DETECTION (literal)
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