Patent ID: 9111148
Filing Date: 2015-08-18
Classification: G06K

Abstract:
1. A computer-implemented method for analyzing a scene, the method comprising: receiving kinematic and feature data for an object in the scene; determining, via one or more processors, a position-feature vector from the received data, the position-feature vector representing a location and one or more feature values at the location; retrieving a feature map corresponding to the position-feature vector, wherein the feature map includes one or more position-feature clusters, wherein the feature map includes one or more adaptive resonance theory (ART) network clusters; determining a rareness value for the object based at least on the position feature vector and the feature map, wherein the rareness value is determined based on at least a pseudo-Mahalanobis distance of the position-feature vector to a closest one of the clusters and on statistical relevance of clusters less than a threshold distance from the position-feature vector; and reporting the object as anomalous if the rareness value meets given criteria.