Relevance feedback mechanisms for video surveillance - Texte

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Forschungsstelle

INNOSUISSE

Projektnummer

15769.1;4 PFES-ES

Projekttitel

Relevance feedback mechanisms for video surveillance

Projekttitel Englisch

Relevance feedback mechanisms for video surveillance

Texte zu diesem Projekt

	Deutsch	Französisch	Italienisch	Englisch
Kurzbeschreibung		-	-
Abstract		-	-

Erfasste Texte

Kategorie	Text
Kurzbeschreibung (Deutsch)	Relevance feedback mechanisms for video surveillance
Kurzbeschreibung (Englisch)	Relevance feedback mechanisms for video surveillance
Abstract (Deutsch)	We propose a CTI project between ETH Zurich and upicto GmbH. upicto is a spinoff of the ETHZ Computer Vision Lab and is bringing to market an innovative self-learning software for real-time detection of unexpected events in surveillance videos. The aim of this research project is to augment the upicto technology with relevance feedback mechanisms. This will influence the learning procedure and make the system more flexible and thus applicable for more diverse scenarios.
Abstract (Englisch)	We propose a CTI project between ETH Zurich and upicto GmbH. upicto is a spinoff of the ETHZ Computer Vision Lab and is bringing to market an innovative self-learning software for real-time detection of unexpected events in surveillance videos. The aim of this research project is to augment the upicto technology with relevance feedback mechanisms. This will influence the learning procedure and make the system more flexible and thus applicable for more diverse scenarios.