Motorola Solutions, Inc.
Anomalous pose detection method and system
Last updated:
Abstract:
A method of detecting anomalous poses is provided, including: detecting an object of interest in a field of view of a video camera; generating, by a neural network, a pose vector associated with a pose of the object; comparing the pose vector to one or more clusters of pose vectors in a dataset of pose vectors, each cluster of pose vectors comprising one or more pose vectors generated from poses of objects; determining a value associated with the similarity of the pose vector to at least one of the one or more pose vectors in the cluster; comparing the value to a predetermined value; and based on the comparison of the value, adding the pose vector to the dataset or generating an alert.
Status:
Grant
Type:
Utility
Filling date:
6 May 2020
Issue date:
12 Jul 2022