Abstract: The present invention provides an image processing apparatus 10 including: an acquisition unit 11 that acquires a search query including pose information indicating a pose of a body of a person and appearance information indicating an appearance of a person; and a search unit 12 that searches for an intended image from a plurality of reference images by using the pose information and the appearance information included in the search query. The appearance information indicates at least one of whether a predetermined kind of a wearing object is worn, whether a predetermined kind of a wearing object is worn on a predetermined portion of a body, whether a wearing object having a predetermined pattern is worn, and whether a wearing object having a predetermined pattern is worn on a predetermined portion of a body.

Abstract: To reduce a load on a computer required for processing of searching for a desired person from among a plurality of images, the present invention provides an information processing apparatus 10 including: an acquisition unit 11 that acquires a query indicating a person attribute; and a search unit 12 that refers to a reference image database in which a plurality of reference images are grouped by putting together into reference images including an identical person and clustered, for each group, by putting together those having a similar predetermined attribute, selects, for each group, a representative reference image from one or each of a plurality of clusters, and collates the selected representative reference image with the query, based on the person attribute.

Abstract: To utilize results of analyzing a plurality of videos, a video analysis apparatus 100 includes a type receiving unit 110, an acquiring unit 111, and an integration unit 112. The type receiving unit 110 accepts selection of a type of engine in order to analyze each of a plurality of videos and detect a detection target included in each of the plurality of videos. The acquiring unit 111 acquires results of analyzing the plurality of videos by using the selected type of engine among results of analyzing the plurality of videos by using a plurality of types of the engines. The integration unit 112 integrates the acquired results of analyzing the plurality of videos.

Abstract: To utilize a result of image analysis, an image analysis apparatus 100 includes an analysis result acquisition unit 110 and a counting unit 111. The analysis result acquisition unit 110 acquires analysis information being information acquired by analyzing a still image and including an appearance attribute to which a person included in the still image belongs. The counting unit 111 counts, for each appearance attribute, the number of persons belonging to the appearance attribute in the still image by using the analysis information, and generates counting information indicating a result of the counting in units of still images.

Abstract: To utilize a result of analyzing an interval between persons included in a video, a video analysis apparatus 100 includes an interval acquisition unit 110 and a display control unit 113. The interval acquisition unit 110 acquires an interval between persons included in a video acquired by photographing a target region. The display control unit 113 causes a display unit to display a time-series transition of first information relating to the number of persons with the acquired interval being equal to or less than a reference value.

Abstract: To achieve faster search processing in the search processing of a similar image, based on a feature value of each of a plurality of keypoints of a human body included in an image, the present invention provides an image processing system 10 including: a target image acquisition unit 11 that acquires a target image; a skeleton structure detection unit 12 that performs processing of detecting a keypoint of a human body included in the target image; a first verification unit 13 that extracts a first reference image whose relationship with the target image satisfies a first extraction condition, from among a plurality of reference images, based on the detected keypoint; and a second verification unit 14 that extracts a second reference image whose relationship with the target image satisfies a second extraction condition, from among the first reference images, based on the detected keypoint.

Abstract: A search unit of an image processing apparatus includes an information generation unit and an image selection unit. The information generation unit generates, from each of a plurality of subject images, pose information about a person included in the subject image and other information about the person. The image selection unit classifies the plurality of subject images or selects at least one target image from the plurality of subject images, by using the pose information and the other information. The search unit may further includes a query acquisition unit. The query acquisition unit acquires a query image. Then, the information generation unit further generates the pose information about the person included in the query image and the other information. The image selection unit selects at least one target image by using the pose information and the other information of the query image and each of the plurality of subject images.

Abstract: A tracking apparatus that includes a detection unit that detects a tracked target from at least two frames constituting video data; an extraction unit that extracts at least one key point from the tracked target having been detected, a posture information generation unit that generates posture information of the tracked target based on the at least one key point, and a tracking unit that tracks the tracked target based on a position and an orientation of the posture information of the tracked target detected from each of the at least two frames.

Abstract: A query acquisition unit (610) acquires query information. The query information includes information indicating a relative position of each of a plurality of keypoints. By using the query information and reference pose information, a threshold value setting unit (620) sets a threshold value for selecting at least one target image from a plurality of selection target images. An image selection unit (630) selects at least one target image from the plurality of selection target images. Specifically, the image selection unit (630) selects at least one target image by using relative positions of a plurality of keypoints of a person included in each of the plurality of selection target images, the query information, and the threshold value. The threshold value setting unit (620) may set a threshold value for classifying a plurality of selection target images.

Abstract: The purpose of one embodiment of the present invention is to provide a lithium ion secondary battery which has improved cycle characteristics and the negative electrode of which comprises a silicon oxide. The present invention relates to a lithium ion secondary battery comprising a silicon oxide and an electrolyte solution comprising a fluorinated acid anhydride.

Abstract: A music playing device 100 of the present invention includes an acquisition means 121 for acquiring a plurality of feature points of a person from a captured image in which the person is captured, a detection means 122 for detecting a position relationship between a plurality of the feature points in a feature point set in which the plurality of feature points are combined, and an output means 123 for outputting a sound specified based on the detected position relationship.

Abstract: An image processing device includes an extraction unit configured to extract a two-dimensional feature regarding a part of a person in an image, a conversion unit configured to convert the two-dimensional feature into a three-dimensional feature regarding a human body structure, and a training data generation unit configured to generate training data using the three-dimensional feature and a label indicating a physical state of the person.

Abstract: A search unit (105) of an image selection apparatus (10) includes a query acquisition unit (610) and an image selection unit (620). The query acquisition unit (610) acquires query information indicating a pose of a person. The image selection unit (620) selects at least one target image from a plurality of images subject to selection by using the query information. Herein, the query information includes relative positions of a plurality of keypoints indicating different portions of a human body from each other. Then, the image selection unit (620) selects the at least one target image by using a relative position of the keypoint of a person included in the image subject to selection, at least one of a kind of a lacking keypoint and a number of lacking keypoints, and the query information, the lacking keypoint being the keypoint that lacks in the person.

Abstract: Provided is an electrode for a battery which effectively suppress a short circuit between a positive electrode and a negative electrode at high temperature of the battery. The electrode includes a current collector 110, an active material layer 111 formed on at least one side of the current collector 110 and an insulating layer 112 formed on the surface of the active material layer 111. The electrode was formed so that peeling occurs between the current collector 110 and the active material layer 111 and the peeling strength was 10 mN/mm or more when a 90° peeling test was performed at a peeling rate of 100/min.

Abstract: The present invention provides an image processing apparatus (100) including: an image acquisition unit (101) that acquires an image; a selection unit (109) that selects at least one person included in the image, based on a user input; a skeleton structure detection unit (102) that detects a two-dimensional skeleton structure of a person included in the image; a feature value computation unit (103) that computes a feature value of the detected two-dimensional skeleton structure; and a search unit (105) that searches, from analysis target images, for the analysis target image including a person in a state similar to a state of the selected person, based on a degree of similarity to a feature value of the two-dimensional skeleton structure.

Abstract: An image selection apparatus includes a query acquisition unit (610) and an image selection unit (620). The query acquisition unit (610) acquires query information indicating a pose of a person. The query information includes relative positions of a plurality of keypoints indicating different portions of a human body from each other. The image selection unit (620) selects at least one target image from a plurality of images subject to selection by using the query information. Specifically, the image selection unit (620) determines weighting for at least one of the keypoints by using a difference between reference pose information indicating reference relative positions of the plurality of keypoints and the query information. Then, the image selection unit (620) selects a target image by using relative positions of the plurality of keypoints of a person included in the image subject to selection, the query information, and the weighting.

Abstract: The present invention provides an image processing apparatus (100) including an image acquisition unit (101) that acquires a query image, based on an input keyword, a skeleton structure detection unit (102) that detects a two-dimensional skeleton structure of a person included in the query image, a feature value computation unit (103) that computes a feature value of the detected two-dimensional skeleton structure, and a search unit (105) that searches, based on a degree of similarity of the computed feature value, for an analysis target image including a person in a state similar to a state of a person included in the query image from the analysis target image.

Abstract: 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.

Abstract: A tracking device that includes a tracking unit that extracts image frames from video data based on a time threshold value that is a reference for extracting the image frames to be collated with a verification frame that is a verification target, detects a tracking target in the image frames, and sets a collation range for the tracking target based on a space threshold value that is a reference of the collation range for the tracking target, a display information generation unit that generates display information including a tracking image in which the collation range is associated with the tracking target in the image frames and an operation image for setting the time threshold value and the space threshold value, and a threshold value update unit that updates the space threshold value and the time threshold value with values set by the user who refers to the display information.

Abstract: 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.