Nec Solution Innovators, Ltd.

Kabushiki Kaisha Tokai Rika Denki Seisakusho

Aisin Seiki Kabushiki Kaisha

Yasutoshi Fukaya

Tadashi Sekihara

Erina Kitahara

Yuji Kurita

Hisamitsu Harada

Yasunori Tsukahara

Motoki Kajita

Jun Kadowaki

Hiroki Inagaki

Masanori Torii

Masateru Mori

Satoshi Kishima

Yasushi Taya

Shohei Ono

Hirohito Iwase

Junichi Kiyamura

An image processing device includes a reception interface and a processor. The reception interface receives image data corresponding to an image in which a subject is captured. The processor detects, based on the image data, a left shoulder feature point, a right shoulder feature point, and a face feature point of the person. The processor acquires a first value corresponding to a distance between the left shoulder feature point and the face feature point. The processor acquires a second value corresponding to a distance between the right shoulder feature point and the face feature point. The processor estimates presence or absence of a body twist of the person based on a ratio between the first value and the second value.

Image processing device, and non-transitory computer-readable medium

An image processing device for improving accuracy of discrimination of hidden portions of a subject captured in an image is disclosed. In this regard the image processing device receives image data of an image in which a person is captured. Based on the received image data, the image processing device estimates a hidden body part of the person that is not captured in the image due to obstruction by another body part of the person. Such estimation is performed by detecting first feature points included in a left limb of the person and second feature points included in a right limb of the person, and estimating at least one of the first feature points and the second feature points are to be included in a hidden body part that is obstructed by another body part of the person or a non-hidden body part.

Image processing device, and non-transitory computer-readable medium for improvement of accurace of a subject captured in an image acquired by an imaging device, and skeleton model estimation based on hidden body part estimation

A data conversion processing unit converts a second group including a plurality of reflection point data units in which a reflection point corresponding to each reflection point data unit belongs to a three-dimensional object among a first data unit group into a third group including a plurality of projection point data units by projecting the second group onto a horizontal plane in a world coordinate system. A clustering processing unit clusters the plurality of projection point data units of the third group into a plurality of clusters based on positions of these units on the horizontal plane. A space of interest setting unit sets a space of interest for each cluster by using the plurality of reflection point data units corresponding to the plurality of projection point data units included in each cluster.

Object identification apparatus, object identification method, and nontransitory computer readable medium storing control program

A mobile entity detection apparatusincludes: a feature point extraction unitconfigured to extract, from image data output by an imaging device of a vehicle, a feature point moving in an image; an optical flow specification unitconfigured to compare the latest image data with image data that was output in the past, and specify an optical flow for each feature point; a clustering unitconfigured to perform clustering on the optical flow based on the optical flow and the position of the optical flow in the image, and separate the optical flow into a cluster; a filtering unitconfigured to remove a cluster that corresponds to an object forming a background from among the clusters based on the traveling direction and speed of the vehicle; and a mobile entity specification unitconfigured to specify a mobile entity in the image using a result of clustering after cluster removal.

Mobile entity detection apparatus, mobile entity detection method, and computer-readable recording medium

An image processing device () is for extracting pixels of a specific color from an image to be processed, and includes: a pixel information extraction unit () that extracts values of luminance, first chrominance, and second chrominance of pixels composing the image on a pixel-by-pixel basis; a calculation processing unit () that calculates, on a pixel-by-pixel basis, a distance from a point defined by the extracted values to a preset reference plane in a space in which the luminance, the first chrominance, and the second chrominance are set along axes that are perpendicular to one another; and a converted image generation unit () that generates an image in which pixels satisfying the following condition are emphasized: the distance calculated by the calculation processing unit () is larger than or equal to a threshold.

Image processing device, image processing method, and computer-readable recording medium

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Tokyo, Japan

Yasutoshi Fukaya