Automatic learning for vehicle classification

Abstract

The present disclosure provides an automatically updating vehicle classification system and method. The system comprises a processor which extracts from a vehicle image at least one of: a unique vehicle identifier from the vehicle image and visual features of the vehicle in the vehicle image. If the visual features are below a probability threshold for matching a vehicle class in a local database, the processor looks up the unique vehicle identifier in a registration database. The registration database stores vehicle registration information including unique vehicle identifiers and associated vehicle class information. If the vehicle class information associated with the vehicle identifier is not a class recognized by the processor, the processor creates a new vehicle class associated with the visual features of the vehicle.

Dependencies are inferred from the claim text.