Nec Corporation

Nec C Orporation

Jianquan Liu

Shoji Nishimura

Noboru Yoshida

Ryo Kawai

Yasufumi Hirakawa

Takuya Araki

Ka Wai Yung

Yadong Pan

Junnan Li

Satoshi Yoshida

Hiroaki Takeuchi

Shunsuke Tsuda

Yuta Namiki

Youhei Sasaki

Naoki Shindou

Yusuke Takahashi

Daiki Tanaka

Masato Asahara

Kazuyo Narita

Tingting Dong

Yuki Tsuruoka

Taisuke Shimada

Hajime Hagimori

Daisuke Sugidomari

Liting Zhou

Maguell Luka Timir Lano Sandifort

Masaya Tokunaga

A query acquisition unit () acquires a query video. A query frame selection unit () selects a plurality of query frames from among a plurality of first frame images included in the query video. A video selection unit () selects a video by using the plurality of query frames. At this time, the video selection unit () uses references (1) and (2) below as a condition for selecting the video. Reference (1) A condition that a “similar frame image whose degree of similarity to a query frame satisfies a first reference is present” is satisfied for at least two query frames. Reference (2) When query frames associated with each of at least two similar frame images are arranged in the same order as that of the at least two similar frame images, the arrangement order coincides with an arrangement order of at least two query frames in a query video.

Image selection apparatus, image selection method, and non-transitory computer-readable medium

An information processing apparatus capable of improving accuracy of search results. The information processing apparatus includes: a management unit that manages at least one object, an attribute by which the object is classified, and a certainty factor indicating a probability that the object has the attribute in association with each other; a calculation unit that, using a certainty factor of an attribute designated as a search condition and a certainty factor being managed in association with an attribute identical or similar to the attribute designated as the search condition, calculates a score indicating a matching degree of the object with the search condition; and a display unit that displays the object based on the calculated score.

Information processing apparatus, display method, and non-transitory computer-readable medium storing program

An action detection system () includes an action specification unit () configured to start specification of at least one action ID based on at least part of skeleton information extracted from video data that is a captured video of a user in response to detection of the user visiting checkout machine determined in advance, a determination unit () configured to determine whether or not an action sequence including the specified at least one action ID corresponds to registration action sequences registered in advance, and a processing control unit () configured to execute processing determined in advance in accordance with a determination result.

Action detection system, action detection method, and non-transitory computer-readable medium

A query acquisition unit () acquires a first query moving image having a plurality of time-series first frame images and at least one second query moving image having a plurality of time-series second frame images. A feature value computing unit () computes a feature value of a keypoint detected from an object being included in each of the first frame images and the second frame images. A correspondence relationship determination unit () determines a second frame image associated with each of the plurality of first frame images. An integration unit () performs, for a plurality of combinations of the first frame image and the second frame image associated with each other, processing of integrating the feature values computed from each of the first frame image and the second frame image, and thereby generates an integrated query in which the integrated feature values are arranged in time series.

Image processing apparatus, and image processing method

The present invention provides an image processing apparatus including: an image acquisition unit acquiring a candidate of a query image; a skeletal structure detection unit detecting a two-dimensional skeletal structure of a person included in a candidate of the query image; a query evaluation unit computing an evaluation value of a candidate of the query image, based on a detection result of the two-dimensional skeletal structure; a selection unit selecting a query image out of candidates of the query image, based on the evaluation value; a feature value computation unit computing a feature value of the two-dimensional skeletal structure detected from the query image; and a retrieval unit retrieving an analysis target image including a person in a pose similar to a pose of a person included in the query image out of analysis target images, based on a degree of similarity of the computed feature value.

Image processing apparatus, image processing method, and non-transitory storage medium

A query acquisition unit () acquires pose information (hereinafter, described as query pose information) that is information to be a query and indicates a pose of a person. A search information acquisition unit () acquires a plurality of pieces of search pose information. The search pose information is pose information about an image (hereinafter, described as a target image) to be a search target, and is stored in a database by a plurality of target images. A selection unit () selects, from among the plurality of pieces of search pose information, two or more pieces of the search pose information whose degree of similarity to the query pose information satisfies a reference. The selection processing becomes substantially processing of selecting a target image similar to an image (hereinafter, described as a query image) associated with the query pose information.

Display screen with graphical user interface

The present invention provides a processing apparatus () including a first generation unit () that generates, from a plurality of time-series images, three-dimensional feature information indicating a time change of a feature in each position in each of the plurality of images, a second generation unit () that generates person position information indicating a position in which a person is present in each of the plurality of images, and an estimation unit () that estimates person behavior indicated by the plurality of images, based on the time change of the feature indicated by the three-dimensional feature information in the position in which the person is present being indicated by the person position information.

Three-dimensional person behavior estimation

The present invention provides an image processing apparatus () including a detection unit () that detects a plurality of predetermined points of a body of each of a plurality of persons from an image in an image circle of a fisheye image, a gravity direction determination unit () that determines a gravity direction in a position of each of the plurality of persons from the plurality of predetermined points, a reference point decision unit () that decides a reference point, based on the gravity direction in the position of each of the plurality of persons, a complementary circular image generation unit () that generates a complementary circular image that is a circular image acquired by adding a complementary image to the image in the image circle of the fisheye image, and that has, as a center, the reference point different from a center of the image in the image circle, and an expansion unit () that panoramically expands the complementary circular image, based on the reference point, and generates a panoramic image.

Image processing device, image processing method, and non-transitory storage medium

The present invention provides a processing system () including: a sample image generation unit () that generates a plurality of sample images being each associated with a partial region of a first image generated using a first lens; an estimation unit () that generates an image content estimation result indicating a content for each of the sample images using an estimation model generated by machine learning using a second image generated using a second lens differing from the first lens; a task execution unit () that estimates a relative positional relationship of a plurality of the sample images in the first image; a determination unit () that determines whether an estimation result of the relative positional relationship is correct; and a correction unit () that corrects a value of a parameter of the estimation model when the estimation result of the relative positional relationship is determined to be incorrect.

Processing system, estimation apparatus, processing method, and non-transitory storage medium

A preliminary image is captured that includes parts of an authentication target person. Main authentication targets are determined. The main authentication targets are those parts that each have an acceptable image-capturing state. A single image-capturing device can then be controlled to successively capture images of the main authentication parts of the authentication target person that have been determined with different settings. These images of the main authentication parts that have been captured can then be output. For instance, authentication of the target person may be performed using authentication data for each main authentication part, where such authentication is successfully when authentication for all the main authentication parts is successful.

Authentication data generation device, authentication device, authentication data generation method, and recording medium

A data processing apparatus () of the present invention includes a unit that retrieves a predetermined subject from moving image data. The data processing apparatus includes a person extraction unit () that analyzes moving image data to be analyzed and extracts a person whose appearance frequency in the moving image data to be analyzed satisfies a predetermined condition among persons detected in the moving image data to be analyzed, and an output unit () that outputs information regarding the extracted person.

Data processing apparatus, data processing method, and non-transitory storage medium

The present invention provides a processing apparatus () including an inter-face-image-group determination unit () that determines whether a similarity score between a first representative face image in a first face image group and a second representative face image in a second face image group satisfies a first condition, an intra-face-image-group determination unit () that determines, for each of the first face image group and the second face image group, whether a second condition defining a relationship between the representative face image and another image in the face image group is satisfied, based on a similarity score between the first representative face image and each of other face images in the first face image group and a similarity score between the second representative face image and each of other face images in the second face image group, and a processing unit () that associates a same person identifier (ID) with a plurality of face images included in the first face image group and the second face image group when it is determined that the first condition is satisfied and that the first face image group and the second face image group each satisfy the second condition.

Processing apparatus, processing method, and non-transitory storage medium

A retrieval apparatus () is accessible to a storage region () in which a plurality of pieces of object information () are stored. The object information () includes a feature value set () being a set of a plurality of feature values acquired regarding an object. The retrieval apparatus () acquires a feature value set (retrieval target set ()) being a retrieval target, and determines the object information () having the feature value set () similar to the retrieval target set () by comparing the retrieval target set () with the feature value set (). Herein, in a case where a feature value set satisfies a predetermined condition, the retrieval apparatus () performs comparison between the feature value set and another feature value set by using a part of feature values within the feature value set. Further, the retrieval apparatus () outputs output information relating to the determined object information ().

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Tokyo, Japan

Jianquan Liu