Valley search method for estimating ego-motion of a camera from videos
US-10089549-B1 · Oct 2, 2018 · US
US11024042B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11024042-B2 |
| Application number | US-201916546081-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 20, 2019 |
| Priority date | Aug 24, 2018 |
| Publication date | Jun 1, 2021 |
| Grant date | Jun 1, 2021 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
Provided are an inexpensive and safe moving object detection apparatus and moving object detection method that enable accurate detection of a moving object from an image sequence captured by a monocular camera at a high speed. A representative configuration of the moving object detection apparatus according to the present invention is provided with a horizon line detection unit that detects a horizon line in a frame image, an edge image generation unit that generates an edge image from a frame image, and a moving object detection unit that sets a detection box on a moving object, and the edge image generation unit extracts an edge image below a horizon line detected by the horizon line detection unit, and the moving object detection unit generates a foreground by combining the difference between the edge image below the horizon line and a background image of the edge image with the difference between a gray scale image and a background image of the gray scale image.
Opening claim text (preview).
The invention claimed is: 1. A moving object detection apparatus comprising: an input unit for inputting an image sequence; a frame acquisition unit that continuously extracts a plurality of frame images from an image sequence; a horizon line detection unit that detects a horizon line in a frame image; an edge image generation unit that generates an edge image from a frame image; and a moving object detection unit that sets a detection box on a moving object, wherein the edge image generation unit extracts an edge image below the horizon line detected by the horizon line detection unit, and extracts a difference between the edge image below the horizon line and a background image of the edge image using a background subtraction method, and the moving object detection unit converts a frame image into a gray scale image and extracts a difference between the gray scale image and a background image of the gray scale image using the background subtraction method, and generates a foreground by combining the difference between the edge image below the horizon line and the background image of the edge image with the difference between the gray scale image and the background image of the gray scale image. 2. The moving object detection apparatus according to claim 1 , wherein the moving object detection unit combines the difference between the edge image below the horizon line and the background image of the edge image with the difference between the gray scale image and the background image of the gray scale image if the difference between the edge image below the horizon line and the background image of the edge image contains only little noise. 3. The moving object detection apparatus according to claim 2 , wherein the edge image generation unit extracts an edge image that is connected to the horizon line detected by the horizon line detection unit, and the moving object detection unit filters the foreground using the edge image that is connected to the horizon line. 4. The moving object detection apparatus according to claim 3 , wherein, when the moving object detection apparatus is moving, the moving object detection unit filters the foreground using the edge image that is connected to the horizon line. 5. The moving object detection apparatus according to claim 1 , wherein the edge image generation unit extracts an edge image that is connected to the horizon line detected by the horizon line detection unit, and the moving object detection unit filters the foreground using the edge image that is connected to the horizon line. 6. The moving object detection apparatus according to claim 5 , wherein, when the moving object detection apparatus is moving, the moving object detection unit filters the foreground using the edge image that is connected to the horizon line. 7. A moving object detection method comprising: a step of inputting an image sequence; a step of continuously extracting a plurality of frame images from an image sequence; a step of extracting an edge image below a horizon line from a frame image; a step of extracting a difference between the edge image below the horizon line and a background image of the edge image using a background subtraction method; a step of converting a frame image into a gray scale image and extracting a difference between the gray scale image and a background image of the gray scale image using the background subtraction method; and a step of generating a foreground by combining the difference between the edge image below the horizon line and the background image of the edge image with the difference between the gray scale image and the background image of the gray scale image.
Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads · CPC title
involving subtraction of images · CPC title
Motion-based segmentation · CPC title
Image subtraction · CPC title
involving foreground-background segmentation · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.