# US 12,120,437 B2 · Image capture device, image capture method, and image capture system

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

- Number: US 12,120,437 B2
- Document ID: US12120437B2
- Status: Granted
- Kind: B2
- Application number: 17/439,977
- Filed: 2020-02-20
- Published: 2022-06-02
- Granted: 2024-10-15
- Earliest claimed: 2019-03-29
- Assignees: NEC Corporation
- Applicants: NEC Corporation
- Inventors: Keiichi Chono
- Web page: https://patentgrep.com/patent/US12120437B2

## CPC

- H04N 23/951: by using two or more images to influence resolution, frame rate or aspect ratio
- G06T 7/11: Region-based segmentation
- G06T 7/292: Multi-camera tracking
- G06T 7/596: {from three or more stereo images}
- G06T 7/70: Determining position or orientation of objects or cameras (camera calibration G06T7/80)
- G06V 40/18: Eye characteristics, e.g. of the iris
- G06V 40/19: Sensors therefor
- H04N 13/25: using two or more image sensors with different characteristics other than in their location or field of view, e.g. having different resolutions or colour pickup characteristics; using image signals from one sensor to control the characteristics of another sensor
- H04N 19/167: Position within a video image, e.g. region of interest [ROI]
- H04N 19/17: the unit being an image region, e.g. an object
- H04N 19/597: specially adapted for multi-view video sequence encoding
- H04N 23/13: with multiple sensors
- H04N 23/45: for generating image signals from two or more image sensors being of different type or operating in different modes, e.g. with a CMOS sensor for moving images in combination with a charge-coupled device [CCD] for still images
- H04N 23/611: where the recognised objects include parts of the human body
- H04N 23/635: {Region indicators; Field of view indicators}
- H04N 23/69: Control of means for changing angle of the field of view, e.g. optical zoom objectives or electronic zooming
- H04N 23/695: Control of camera direction for changing a field of view, e.g. pan, tilt or based on tracking of objects
- H04N 23/698: for achieving an enlarged field of view, e.g. panoramic image capture
- H04N 23/80: Camera processing pipelines; Components thereof
- H04N 23/90: Arrangement of cameras or camera modules, e.g. multiple cameras in TV studios or sports stadiums
- H04N 25/41: {Extracting pixel data from a plurality of image sensors simultaneously picking up an image, e.g. for increasing the field of view by combining the outputs of a plurality of sensors}
- G06T 2207/20104: Interactive definition of region of interest [ROI]
- G06T 2207/30041: Eye; Retina; Ophthalmic
- H04N 21/21805: {enabling multiple viewpoints, e.g. using a plurality of cameras}
- H04N: PICTORIAL COMMUNICATION, e.g. TELEVISION
- G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING

## Abstract

Provided is an image capture device capable of achieving both high resolution of images and high frame rate. An image capture device 10 takes images and outputs image data, and includes region of interest compression means 11 for performing lossy compression processing on pixel data of a region of interest and outputting the pixel data.

## Claims

### Claim 1

An image capture method performed by a computing device of a system including a plurality of image capture devices and a wide area imaging device having a wider angle of view than that of the plurality of image capture devices, the image capturing method comprising:
positionally identifying a region of interest, based on an image captured by the wide area imaging device;
determining, among images captured by the plurality of image capture devices, an image in which lossy compression processing is to be performed on the region of interest, based on the image captured by the wide area imaging device; and
causing the image capture device that captured the determined image to perform lossy compression processing on pixel data of the region of interest in the determined image, including indicating the identified region of interest to the image capture device that captured the determined image, wherein
only the image capture device that captured the determined image performs the lossy compression processing on the pixel data of the region of interest.

### Claim 2 (depends on 1)

The image capture method according to claim 1, wherein
the lossy compression processing of a predetermined specific method type is performed on the pixel data of the region of interest whose having a fixed size.

### Claim 3

An image capture system comprising:
a plurality of image capture devices that are each configured to perform lossy compression processing;
a wide area imaging device having a wider angle of view than that of the image capture-device the plurality of image capture devices; and
a processor; and
a memory storing instructions executable by the processor to:
positionally identify a region of interest, based on an image captured by the wide area imaging device;
determine, among images captured by the plurality of image capture devices, an image in which lossy compression processing is to be performed on the region of interest, based on the image captured by the wide area imaging device; and
cause the image capture device that captured the determined image to perform lossy compression processing on pixel data of the region of interest in the determined image, including indicating the identified region of interest to the image capture device that captured the determined image, wherein
only the image capture device that captured the determined image performs the lossy compression processing on the pixel data of the region of interest.

### Claim 4 (depends on 3)

The image capture system according to claim 3, wherein the processor positionally identifies the region of interest based on a position of an eye of a person in the image captured by the wide area imaging device.

### Claim 5 (depends on 3)

The image capture system according to claim 3, wherein
the lossy compression processing of a predetermined specific type is performed on the pixel data of the region of interest having a fixed size.
