Nec Corporation

Nec C Orporation

Shoji Nishimura

Jianquan Liu

Noboru Yoshida

Yasufumi Hirakawa

Takuya Araki

Yadong Pan

Ryo Kawai

Yuzo Senda

Satoshi Yoshida

Kenichi Ishii

Shinya Yamasaki

Shin Tominaga

Gaku Nakano

Shigeki Shinoda

Masumi Ishikawa

Shota Yamamoto

Kana Takizawa

Yoshiyuki Satou

Youtarou Noda

Yoshitaka Higeta

Narumitsu Notomi

Aki Nakamura

Eishi Arita

Toshiki Takeuchi

Jun Sakai

Taichi Ohtsuji

Masaki Kitsunezuka

Daisuke Ikefuji

Kenta Ishihara

Tingting Dong

Daisuke Iketuji

A tracking device including a designation range acquisition unit that acquires a designation range designated for each of a plurality of image frames constituting video data, a tracking unit that extracts the image frame to be verified from the video data, detect a tracking target for each of the extracted image frames, set a collation range for the detected tracking target, and adjust the collation range based on the designation range set for each of the image frames, and a display information generation unit that generates, for each of the image frames, a tracking image in which the collation range is associated with the tracking target.

Tracking device, tracking method, and recording medium

An image processing apparatus () according to the present disclosure includes: a skeleton detection unit () configured to detect a two-dimensional skeleton structure of a person based on an acquired two-dimensional image; an estimation unit () configured to estimate the height of the person when the person stands upright in a two-dimensional image space based on the two-dimensional skeleton structure detected by the skeleton detection unit (); and a normalizing unit () configured to normalize the two-dimensional skeleton structure detected based on the height of the person when the person stands upright estimated by the estimation unit ().

Human skeleton image apparatus, method, and non-transitory computer readable medium

A flow line display apparatus () includes an acquisition unit () and a display processing unit (). The acquisition unit () acquires at least one piece of flow line information. The flow line information includes a flow line of a person, and action information indicating an action performed when the person moves along the flow line and a location where the action is performed. The flow line information is generated with respect to each person. The display processing unit () displays, on a display unit (), a flow line indicated by flow line information, action content information indicating an action indicated by action information, and action location information indicating a location where the action is performed.

Flow line display apparatus, flow line display method, and non-transitory computer-readable storage medium

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

A reference state deciding device () according to the present disclosure includes a feature calculation unit () that calculates an object feature related to a target object of state determination included in a real space and an imaged space feature related to the real space on the basis of past image data of the real space imaged in the past and target image data of the real space imaged at the time of the state determination, and a reference state deciding unit () that decides a reference state to be used for the state determination on the basis of a relation between the object feature and the imaged space feature calculated from the past image data and the target image data.

Reference state deciding device, state determination system, reference state deciding method, and non-transitory computer readable medium

An image processing apparatus () includes an image processing unit () and a risk information generation unit (). The image processing unit () acquires and processes an image generated by an image capture apparatus (), that is, an image including a plurality of persons. As an example, the image processing unit () sets a person being at least part of the plurality of persons as a reference person and computes a distance (first distance) between the reference person and the closest person to the reference person. By using the first distance, the risk information generation unit () generates infection risk information in a target region being an image capture target of the image capture apparatus ().

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

An image processing apparatus () according to the present disclosure includes: a skeleton detection unit () configured to detect two-dimensional skeleton structures of a plurality of persons based on an acquired two-dimensional image; a feature calculation unit () configured to calculate features of the plurality of two-dimensional skeleton structures that have been detected by the skeleton detection unit (); and a recognition unit () configured to perform processing of recognizing states of the plurality of persons based on a degree of similarity among the plurality of features that have been calculated by the feature calculation unit ().

Image processing apparatus, image processing method, and non-transitory computer readable medium storing image processing program

A person state detection apparatus () according to the present disclosure includes an acquisition unit () for acquiring a two-dimensional image obtained by capturing a person, a skeletal structure detection unit () for detecting a two-dimensional skeletal structure of the person based on the acquired two-dimensional image, an estimation unit () for estimating a height of the person standing upright in a two-dimensional image space based on the detected two-dimensional skeletal structure, and a state detection unit () for detecting the state of the person based on a height of an area where the person is present in the two-dimensional image.

Person state detection apparatus, person state detection method, and non-transitory computer readable medium storing program

A wireless terminal detection system provided with user position information acquisition means for measuring a position of a reception-side wireless terminal; pattern classification means for classifying movement patterns extracted from position history information of the reception-side wireless terminal into ordinary patterns and non-ordinary patterns based on classification results in which the movement patterns are classified in accordance with times and positions; and determination means for determining whether a transmission-side wireless terminal, which is a transmission source of radio waves received by the reception-side wireless terminal, is a suspicious terminal based on a reception history of radio waves from the transmission-side wireless terminal in time intervals classified as the non-ordinary patterns.

Wireless terminal detection system, wireless terminal detection device, wireless terminal detection method, and storage medium having program stored therein

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

An image processing apparatus includes at least one memory configured to store instructions, and at least one processor configured to execute the instructions to process an image of a target region, and thereby compute a proximity index being an index relating to a proximity state of a plurality of persons captured in the image, and cause a predetermined apparatus to execute predetermined control, when the proximity index satisfies a criterion.

Image processing apparatus, image processing method, and non-transitory computer-readable 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.

An image analysis apparatus () includes: an icon placement unit () accepting an instruction for placing, on a screen, a plurality of icons including a plurality of input source icons each indicating an input source of image data being a target of analysis, a plurality of image processing icons each indicating an image processing engine for the image data, and at least one output destination icon indicating an output destination of a processing result by an image processing engine, and placing the plurality of icons on the screen in accordance with the instruction; a connection unit () accepting a connection instruction for connecting icons placed on the screen; and a data flow setting unit () setting a flow of data between the icons in accordance with the connection instruction and displaying the flow on the screen.

Image analysis apparatus, image analysis method, and storage medium

A basic pattern extracting unit () extracts a 'basic pattern' for each human from detection points acquired by an acquiring unit (). The “basic pattern” includes a “reference body region point” corresponding to a “reference body region type”, and base body region points corresponding to base body region types that are different from the reference body region type and that are different from each other. For example, the “basic pattern” includes at least one of the following two combinations. A first combination is a combination of the reference body region point corresponding to a neck as the reference body region type and two base body region points respectively corresponding to a left shoulder and a left ear as the base body region type. A second combination is a combination of body region points corresponding to a neck, a right shoulder and a right ear.

Pose identifying apparatus, pose identifying method, and non-transitory computer readable medium

An image search system () is provided with: a search key information acquisition unit () that acquires color specifying information indicating a plurality of colors and reference information indicating a reference of proportions of the plurality of colors being occupied in an image area; a specified color proportion information acquisition unit () that acquires specified color proportion information indicating proportions of the plurality of colors associated with the color specifying information, being occupied in an image to be processed; and an image search unit () that identifies whether the image to be processed is a search target image, based on the specified color proportion information and the reference information.

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Tokyo, Japan

Shoji Nishimura