Avigilon Corporation

Motorola Solutions, Inc.

Ken Jessen

Roger David Donaldson

Mahesh Saptharishi

Shaun P Marlatt

Yanyan Hu

Moussa Doumbouya

Nicholas John Alcock

Tulio De Souza Alcantara

Alexander Chau

Lu He

David Flanagan

Eric Sjue

Seyedmostafa Azizabadifarahani

Courtney Anne Adame Cheng

Hao Zhang

Courtney Cheng

Methods, systems, and techniques for performing a facet search include receiving facet search commencement user input indicating that a search for a facet is to commence; in response to the facet search commencement user input, searching one or more video recordings for the facet; and displaying, on a display, facet image search results depicting the facet, wherein the facet image search results are selected from the one or more video recordings. An artificial neural network may be used for the facet search, and that network may be trained by generating a facet image training set that comprises training images, with the training images depicting a type of facet common to the training images; and training, by using the facet image training set, that neural network to classify the type of facet when a sample image comprising the type of facet is input to that network.

Method and system for interfacing with a user to facilitate an image search for an object-of-interest

Generating signatures within a network that includes a plurality of computing devices of varying processing capabilities is disclosed. Chips may be transmitted, from a network video recorder and over the network, to an analytics appliance having a GPU processing power that is higher than a GPU processing power possessed by the network video recorder. The GPU processing power possessed by the analytics appliance may be employed to process the chips therein and generate respective signatures.

Generating signatures within a network that includes a plurality of computing devices of varying processing capabilities

There are described methods and systems for facilitating identification of an object-of-interest. A face similarity score and a body similarity score of a query image relative to a gallery image are determined. A fused similarity score of the query image relative to the gallery image is determined by applying a relationship between the face similarity score, the body similarity score, and the fused similarity score. The fused similarity score is indicative of whether or not the object-of-interest and the potential object-of-interest are the same object-of-interest. For example, a machine learning process is used to fuse the face similarity score and the body similarity into the fused similarity score. The process is repeated for multiple gallery images. The gallery images may then be ranked according to their respective fused similarity scores.

Method and system for facilitating identification of an object-of-interest

Growing community of inventors

New Westminster, Canada

Ken Jessen