Publications

Explore our research publications: papers, articles, and conference proceedings from AImageLab.

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The Sakbot system for moving object detection and tracking

Authors: Cucchiara, Rita; Grana, Costantino; Neri, Gianni; Piccardi, Massimo; Prati, Andrea

This paper presents Sakbot, a system for moving object detection in traffic monitoring and video surveillance applications. The system is … (Read full abstract)

This paper presents Sakbot, a system for moving object detection in traffic monitoring and video surveillance applications. The system is endowed with robust and efficient detection techniques, which main features are the statistical and knowledge-based background update and the use of HSV color information for shadow suppression. Tracking is provided by a symbolic reasoning module allowing flexible object tracking over a variety of different applications. This system proves effective on many different situations, both from the point of view of the scene appearance and the purpose of the application.

2001 Capitolo/Saggio
IRIS

Analisi computerizzata di immagini digitali di lesioni pigmentate cutanee: sviluppo di un nuovo software e descrizione dei parametri geometrici

Authors: Seidenari, Stefania; A., Martella; Grana, Costantino; Pellacani, Giovanni

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2000 Abstract in Atti di Convegno
IRIS

Analisi di sequenze di immagini per sorveglianza e controllo del traffico

Authors: Grana, Costantino

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2000 Abstract in Atti di Convegno
IRIS

Statistic and knowledge-based moving object detection in traffic scenes

Authors: Cucchiara, Rita; Grana, Costantino; M., Piccardi; A., Prati

The most common approach used for vision-based traffic surveillance consists of a fast segmentation of moving visual objects (MVOs) in … (Read full abstract)

The most common approach used for vision-based traffic surveillance consists of a fast segmentation of moving visual objects (MVOs) in the scene together with an intelligent reasoning module capable of identifying, tracking and classifying the MVOs in dependency of the system goal. In this paper we describe our approach for MVOs segmentation in an unstructured traffic environment. We consider complex situations with moving people, vehicles and infrastructures that have different aspect model and motion model. In this case we define a specific approach based on background subtraction with statistic and knowledge-based background update. We show many results of real-time tracking of traffic MVOs in outdoor traffic scene such as roads, parking area intersections, and entrance with barriers

2000 Relazione in Atti di Convegno
DOI IRIS

Sviluppo di un nuovo programma per la descrizione numerica delle lesioni pigmentate: il modulo delle geometrie

Authors: Seidenari, Stefania; A., Martella; Grana, Costantino; Pellacani, Giovanni

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2000 Abstract in Atti di Convegno
IRIS

Multi-Agent Negotiation and Planning Through Knowledge Contextualization

Authors: Sangineto, E

1997 Relazione in Atti di Convegno
IRIS
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Page 106 of 106 • Total publications: 1056