公开(公告)号：US20190130202A1

公开(公告)日：2019-05-02

申请号：US16172557

申请日：2018-10-26

Applicant: Avigilon Corporation

Inventor： Moussa DOUMBOUYA ,  Lu HE ,  Yanyan HU ,  Mahesh SAPTHARISHI ,  Hao ZHANG ,  Nicholas John ALCOCK ,  Roger David DONALDSON ,  Seyedmostafa AZIZABADIFARAHANI ,  Ken JESSEN

IPC: G06K9/32 ,  G06K9/00 ,  H04N7/18 ,  G06F15/18

Abstract: 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.