# US 2019/0096085 A1 · Lane specification method and lane specification device

> Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt

- Number: US 2019/0096085 A1
- Document ID: US20190096085A1
- Status: Published application
- Kind: A1
- Application number: 16/300,425
- Filed: 2017-02-17
- Published: 2019-03-28
- Earliest claimed: 2016-05-18
- Assignees: Panasonic Intellectual Property Management Co., Ltd.
- Applicants: Panasonic Intellectual Property Management Co., Ltd.
- Inventors: Junko UEDA; Shinji TAKENAKA
- Web page: https://patentgrep.com/patent/US20190096085A1

## CPC

- G06T 7/70: Determining position or orientation of objects or cameras (camera calibration G06T7/80)
- G06T 7/12: Edge-based segmentation
- G06V 20/588: {Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road}
- H04N 7/18: Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- G06T 2207/30256: Lane; Road marking
- G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- H04N: PICTORIAL COMMUNICATION, e.g. TELEVISION

## Abstract

To precisely specify lane regions that are present in an image. In a situation in which a lane specification device, an imaging device, and a swimming pool are present, a processor in the lane specification device according to the present disclosure specifies lane regions that are present in an image on the basis of a pattern in which information obtained on the basis of outlines of objects in the image captured by the imaging device appears in the image. In this manner, it is possible to precisely specify the lane regions that are present in the image.

## Claims

### Claim 1

A lane specification method for specifying lane regions that are present in an image by a processor,
wherein the processor specifies the lane regions that are present in the image on the basis of a pattern in which information obtained on the basis of outlines of objects in the image appears in the image.

### Claim 2 (depends on 1)

The lane specification method of claim 1,
wherein the objects in the image are objects that section lanes.

### Claim 3 (depends on 2)

The lane specification method of claim 2,
wherein the information obtained on the basis of the outlines of the objects in the image is lines representing the objects that section the lanes.

### Claim 4 (depends on 3)

The lane specification method of claim 3,
wherein the lines are obtained from the image on the basis of a size of an arena that is present in the image.

### Claim 5 (depends on 1)

The lane specification method of claim 1,
wherein the pattern is calculated on the basis of a parameter that assumes the number of the lanes that are present in the image.

### Claim 6

A lane specification device for specifying lane regions that are present in an image,
wherein a processor in the device specifies the lane regions that are present in the image on the basis of a pattern in which information obtained on the basis of outlines of objects in the image appears in the image.

### Claim 7 (depends on 6)

The lane specification device of claim 6,
wherein the objects in the image are objects that section lanes.

### Claim 8 (depends on 7)

The lane specification device of claim 7,
wherein the information obtained on the basis of the outlines of the objects in the image is lines representing the objects that section the lanes.

### Claim 9 (depends on 8)

The lane specification device of claim 8,
wherein the lines are obtained from the image on the basis of a size of an arena that is present in the image.

### Claim 10 (depends on 6)

The lane specification device of claim 6,
wherein the pattern is calculated on the basis of a parameter that assumes the number of the lanes that are present in the image.