Method, apparatus, and system for object tracking and navigation
US-10270642-B2 · Apr 23, 2019 · US
Relevant Motion Detection in Video
US2019244366A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2019244366-A1 |
| Application number | US-201816125203-A |
| Country | US |
| Kind code | A1 |
| Filing date | Sep 7, 2018 |
| Priority date | Sep 7, 2017 |
| Publication date | Aug 8, 2019 |
| Grant date | — |
How to read this patent
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
- Title
What the patent document calls the invention.
- Abstract
A short plain-language summary of the technical disclosure.
- Assignees and inventors
Who owns or filed the patent and who is credited as inventor.
- Key dates
Filing, priority, publication, and grant dates set the timeline.
- First independent claim
The legal scope of protection — read this for what is actually claimed.
- CPC / IPC classifications
Technology tags used to group this patent with similar filings.
- Citations and related patents
Prior art links and similar publications in this corpus.
Abstract
Official abstract text for this publication.
Methods, systems, and/or apparatuses are described for detecting relevant motion of objects of interest (e.g., persons and vehicles) in surveillance videos. As described herein input data based on a plurality of captured images and/or video is received. The input data may then be pre-processed and used as an input into a convolution network that may, in some instances, have elements that perform both spatial-wise max pooling and temporal-wise max pooling. Based on The convolution network may be used to generate a plurality of prediction results of relevant motion of the objects of interest.
First claim
Opening claim text (preview).
1 . A method comprising: generating, by a computing device and based on image data, data based on a plurality of images; determining, from the generated data and using one or more first convolutional layers, feature data indicative of one or more of: an appearance-related feature or a motion-related feature; determining, based on the feature data and using one or more second convolutional layers, predicted motion of one or more objects in the plurality of images; and determining, based on the predicted motion, that an object of the one or more objects has moved.
Assignees
Inventors
Classifications
Learning methods · CPC title
Combinations of networks · CPC title
Forward inferencing; Production systems · CPC title
Training; Learning · CPC title
involving subtraction of images · CPC title
Patent family
Related publications grouped by family.
External sources
Frequently asked questions
Answers are generated from the same data shown on this page.
- What does patent US2019244366A1 cover?
- Methods, systems, and/or apparatuses are described for detecting relevant motion of objects of interest (e.g., persons and vehicles) in surveillance videos. As described herein input data based on a plurality of captured images and/or video is received. The input data may then be pre-processed and used as an input into a convolution network that may, in some instances, have elements that perfor…
- Who is the assignee on this patent?
- Comcast Cable Comm Llc
- What technology area does this patent fall under?
- Primary CPC classification G06T7/246. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Thu Aug 08 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).