AVSS 2011 demo session: OUTLIER - online learning and visualization of unusual events

Autor:	Josef Alois Birchbauer, Peter Schallauer, Samuel Schulter, Rene Schuster, Peter M. Roth, Georg Poier, Horst Bischof, Martin Winter
Rok vydání:	2011
Předmět:	business.industry Computer science Event recognition Online learning Outlier ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Artificial intelligence Session (computer science) business Machine learning computer.software_genre computer Visualization
Zdroj:	AVSS
DOI:	10.1109/avss.2011.6027403
Popis:	Summary form only given. We introduce to the surveillance community the VIRAT Video Dataset[1], which is a new large-scale surveillance video dataset designed to assess the performance of event recognition algorithms in realistic scenes1.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5de91a45b3989730e88e2e6454273c9e https://doi.org/10.1109/avss.2011.6027403 Zobrazit plný text záznamu