Efficient vision-aided inertial navigation using a rolling-shutter camera with inaccurate timestamps
US-2015369609-A1 · Dec 24, 2015 · US
Detection of static object on thoroughfare crossings
US9008359B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9008359-B2 |
| Application number | US-201213535461-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 28, 2012 |
| Priority date | Jun 28, 2012 |
| Publication date | Apr 14, 2015 |
| Grant date | Apr 14, 2015 |
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Abstract
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Foreground object image features are extracted from input video via application of a background subtraction mask, and optical flow image features from a region of the input video image data defined by the extracted foreground object image features. If estimated movement features indicate that the underlying object is in motion, a dominant moving direction of the underlying object is determined. If the dominant moving direction is parallel to an orientation of the second, crossed thoroughfare, an event alarm indicating that a static object is blocking travel on the crossing second thoroughfare is not generated. If the estimated movement features indicate that the underlying object is static, or that its determined dominant moving direction is not parallel to the second thoroughfare, an appearance of the foreground object region is determined and a static-ness timer run while the foreground object region comprises the extracted foreground object image features.
First claim
Opening claim text (preview).
What is claimed is: 1. A method for applying computer vision techniques to automatically detect the presence of static objects within a first thoroughfare crossing of a second thoroughfare, the method comprising: in response to input video image data from a scene of a level-grade crossing of a first thoroughfare by a second thoroughfare, a processing unit extracting and recording into a tangible data storage medium foreground object image features via application of a background s…
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- G06T7/2053Primary
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
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Frequently asked questions
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- What does patent US9008359B2 cover?
- Foreground object image features are extracted from input video via application of a background subtraction mask, and optical flow image features from a region of the input video image data defined by the extracted foreground object image features. If estimated movement features indicate that the underlying object is in motion, a dominant moving direction of the underlying object is determined.…
- Who is the assignee on this patent?
- Feris Rogerio S, Zhai Yun, IBM
- What technology area does this patent fall under?
- Primary CPC classification G06T7/2053. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Apr 14 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).