US 2019/0164009 A1 · METHOD AND SYSTEM FOR VISUAL CHANGE DETECTION USING MULTI-SCALE ANALYSIS

Abstract

The disclosure herein generally relate to scene change detection, and, more particularly, to use of Unmanned Vehicle (UV) to inspect a scene and perform a scene change detection using UVs. When a UV performs visual inspection of an area or an object, due to various factors, such as but not limited to environmental factors, and movement of object and/or the UV, image of the area/object captured by the drone lacks clarity, which in turn makes detection of any object a difficult task. The UV disclosed herein uses a multi scale super pixel technique for visual change detection, in order to solve the aforementioned issues. In an embodiment, the UV captures an image, identifies a reference image that matches the captured image, and generates a change map. The multi-scale super pixel analysis is then performed on this change map to detect changes between the captured image and the reference image.

Claims12

Dependent claims

A processor-implemented method for change detection using an Unmanned Vehicle (UV), comprising:

capturing at least one image of a target, via one or more hardware processors;
identifying a reference image that matches the captured at least one image, from a plurality of reference images, via the one or more hardware processors;
generating a similarity map based on the captured at least one image and the reference image, via the one or more hardware processors, wherein the similarity map highlights changes between the captured at least one image and the reference image;
and
extracting differences between the captured at least one image and the reference image, by performing a multi-scale super pixel analysis of the similarity map, via the one or more hardware processors.

2 more elements

An Unmanned Vehicle (UV), comprising:

a processor;
and
a memory module comprising a plurality of instructions, said plurality of instructions configured to cause the processor to:
capture at least one image of a target, via one or more hardware processors, by an image capturing module of the UV;
identify a reference image that matches the captured at least one image, from a plurality of reference images, via the one or more hardware processors, by an image processing module of the UV;
generate a similarity map based on the captured at least one image and the reference image, via the one or more hardware processors, by the image processing module, wherein the similarity map highlights changes between the captured at least one image and the reference image;
and
extract differences between the captured at least one image and the reference image, by performing a multi-scale super pixel analysis of the similarity map, via the one or more hardware processors, by the image processing module.

5 more elements

One or more non-transitory machine readable information storage mediums comprising one or more instructions which when executed by one or more hardware processors causes:

capturing at least one image of a target, via one or more hardware processors;
identifying a reference image that matches the captured at least one image, from a plurality of reference images, via the one or more hardware processors;
generating a similarity map based on the captured at least one image and the reference image, via the one or more hardware processors, wherein the similarity map highlights changes between the captured at least one image and the reference image;
and
extracting differences between the captured at least one image and the reference image, by performing a multi-scale super pixel analysis of the similarity map, via the one or more hardware processors.

2 more elements

Dependencies are inferred from the claim text.

Method and system for visual change detection using multi-scale analysis

Life of this patent

Method and system for visual change detection using multi-scale analysis

Life of this patent

Abstract

Claims12