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.

The Sakbot system for moving object detection and tracking / Cucchiara, Rita; Grana, Costantino; Neri, Gianni; Piccardi, Massimo; Prati, Andrea. - STAMPA. - (2001), pp. 145-158.

The Sakbot system for moving object detection and tracking

Cucchiara, Rita;Grana, Costantino;Piccardi, Massimo;Prati, Andrea
2001

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.
Video-Based Surveillance Systems: Computer Vision and Distributed Processing
9780792376323
Springer
GERMANIA
The Sakbot system for moving object detection and tracking / Cucchiara, Rita; Grana, Costantino; Neri, Gianni; Piccardi, Massimo; Prati, Andrea. - STAMPA. - (2001), pp. 145-158.
Cucchiara, Rita; Grana, Costantino; Neri, Gianni; Piccardi, Massimo; Prati, Andrea
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/308451
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact