The 2005 PASCAL Visual Object Classes Challenge

The PASCAL Visual Object Classes Challenge ran from February to March 2005. The goal of the challenge was to recognize objects from a number of visual object classes in realistic scenes (i.e. not pre-segmented objects). Four object classes were selected: motorbikes, bicycles, cars and people. Twelve...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Everingham, Mark, Zisserman, Andrew, Williams, Christopher K. I., Van Gool, Luc, Allan, Moray, Bishop, Christopher M., Chapelle, Olivier, Dalal, Navneet, Deselaers, Thomas, Dorkó, Gyuri, Duffner, Stefan, Eichhorn, Jan, Farquhar, Jason D. R., Fritz, Mario, Garcia, Christophe, Griffiths, Tom, Jurie, Frederic, Keysers, Daniel, Koskela, Markus, Laaksonen, Jorma, Larlus, Diane, Leibe, Bastian, Meng, Hongying, Ney, Hermann, Schiele, Bernt, Schmid, Cordelia, Seemann, Edgar, Shawe-Taylor, John, Storkey, Amos, Szedmak, Sandor, Triggs, Bill, Ulusoy, Ilkay, Viitaniemi, Ville, Zhang, Jianguo
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	Average Precision Computer Science Computer Vision and Pattern Recognition Detection Task Interest Point Receiver Operating Characteristic Curve Visual Word
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	The PASCAL Visual Object Classes Challenge ran from February to March 2005. The goal of the challenge was to recognize objects from a number of visual object classes in realistic scenes (i.e. not pre-segmented objects). Four object classes were selected: motorbikes, bicycles, cars and people. Twelve teams entered the challenge. In this chapter we provide details of the datasets, algorithms used by the teams, evaluation criteria, and results achieved.
ISSN:	0302-9743 1611-3349
DOI:	10.1007/11736790_8