Patent ID: 8548231
Filing Date: 2013-10-01
Classification: G06K

Abstract:
1. A method for a detection of a pattern having one or more features from image data of a scene, comprising: defining a set of rules to detect the pattern based on the one or more features using a plurality of first order logic bilattice predicates; obtaining the image data related to the scene; a processor processing the image data with one or more detectors to detect the one or more features; the processor executing the set of rules to detect the pattern based on a presence or an absence of each of the one or more features; the processor generating data related to: wherein the set of rules is implemented as a knowledge-based artificial neural network; wherein the measure of uncertainty related to the rule is expressed as a link weight in the knowledge-based artificial neural network; and wherein the link weight is optimized by applying a change being expressed as: with Δw Δw φ(j) is an evidence for component of truth assignment to a propositional rule j corresponding to a node in the knowledge-based artificial neural network, η is a constant, and δ