Anzeige
Erschienen in:
2015 | OriginalPaper | Buchkapitel
BMTDL for Scene Modeling on the SBI Dataset
verfasst von : Nicoletta Noceti, Alessandra Staglianò, Alessandro Verri, Francesca Odone
Erschienen in: New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
In this paper we evaluate our method for Background Modeling Through Dictionary Learning (BMTDL) and sparse coding on the recently proposed Scene Background Initialization (SBI) dataset. The BMTDL, originally proposed in [
1
] for the specific purpose of detecting the foreground of a scene, leverages on the availability of long time observations, where we can treat foreground objects as noise. The SBI dataset refers to more general scene modeling problems – as for video segmentation, compression or editing – where video sequences may be generally short, and often include foreground objects occupying a large portion on the image for the majority of the sequence. The experimental analysis we report is very promising and show how the BMTDL may be also appropriate for these different and challenging conditions.