US 2022/0189176 A1 · OBJECT IDENTIFICATION METHOD AND RELATED SURVEILLANCE SYSTEM

Abstract

An object identification method is applied to a surveillance system. The surveillance system includes at least one surveillance apparatus. The object identification method includes acquiring a plurality of first feature vectors of a first moving object and a plurality of second feature vectors of at least one second moving object within a series of surveillance images from the surveillance apparatus, transforming the first feature vectors and the second feature vectors respectively into a first cluster distribution set and at least one second cluster distribution set, comparing similarity of the first cluster distribution set and the at least one second cluster distribution set, and setting a similarity ranking of the first cluster distribution set and the at least one second cluster distribution set according to a comparison result so as to determine whether the first moving object and the at least one second moving object are the same.

Claims18

Dependent claims

An object identification method applied to a surveillance system, the surveillance system having at least one surveillance apparatus, the object identification method comprising:

acquiring a plurality of first feature vectors of a first moving object and a plurality of second feature vectors of at least one second moving object within a series of surveillance images from the surveillance apparatus;
transforming the plurality of first feature vectors into a first cluster distribution set;
transforming the plurality of second feature vectors into at least one second cluster distribution set;
applying a main similarity comparison to the first cluster distribution set and the at least one second cluster distribution set;
and
setting a similarity ranking of the at least one second cluster distribution set relative to the first cluster distribution set in accordance with a main comparison result, so as to determine whether the first moving object and the at least one second moving object are the same.

3 more elements

A surveillance system, comprising:

at least one surveillance apparatus adapted to acquire a series of surveillance images;
and
an operation processor electrically connected to the at least one surveillance apparatus in a wire manner or in a wireless manner, the operation processor being adapted to acquire a plurality of first feature vectors of a first moving object and a plurality of second feature vectors of at least one second moving object within the series of surveillance images, to transform the plurality of first feature vectors into a first cluster distribution set, to transform the plurality of second feature vectors into at least one second cluster distribution set, to apply a main similarity comparison to the first cluster distribution set and the at least one second cluster distribution set, and set a similarity ranking of the at least one second cluster distribution set relative to the first cluster distribution set in accordance with a main comparison result, so as to determine whether the first moving object and the at least one second moving object are the same.

Dependencies are inferred from the claim text.

Object identification method and related surveillance system

Life of this patent

Object identification method and related surveillance system

Life of this patent

Abstract

Claims18