Künstliches Neuronales Netzwerk Klassenbasierte Ausdünnung

Details

Veröffentlichungs-Nr.

EP3340129

Aktenzeichen

EP16205831

Anmeldetag

21. Dezember 2016

Veröffentlichung

30. Januar 2019

Erteilung

30. Januar 2019

Rechtsraum

EP

IPC

G06N3/08

Abstract

Methods and apparatus, including computer program products, implementing and using techniques for configuring an artificial neural network to a particular surveillance situation. A number of object classes characteristic for the surveillance situation are selected. The object classes form a subset of the total number of object classes for which the artificial neural network is trained. A database is accessed that includes activation frequency values for the neurons within the artificial neural network. The activation frequency values are a function of the object class. Those neurons having activation frequency values lower than a threshold value for the subset of selected object classes are removed from the artificial neural network.

Anmelder

Firma

Axis AB

Land

🇸🇪 Schweden

Fachgebiete