Nec Corporation

Ryota Mase

Kota Iwamoto

Toshiyuki Nomura

Akio Yamada

Takami Sato

Katsuhiro Ochiai

Kyota Higa

Naotake Fujita

Ruihan Bao

Takato Ozawa

Kouichi Ueda

Shinji Kasahara

Ryosuke Takai

Disclosed is a display condition analysis device which is capable of analyzing the display conditions of products. This display condition analysis device is provided with: a product recognition means for recognizing, from a display image taken of products on display, the products in the display image; and a display condition analysis means for analyzing, on the basis of the positions of the recognized products, the display conditions of the products on display.

Display condition analysis device, display condition analysis method, and program recording medium

Moisture content information in soil at a specified site is acquired. Moisture content information a ground surface within a given range that includes the specified site is acquired. An amount of runoff or storage volume of water on the ground surface or in a ground at a freely-selected site in the given range is calculated based on the moisture content information in soil and the moisture content information at the ground. A degree of risk of flood disaster at the freely-selected site within the given range is calculated based on the amount of runoff or storage volume of water on the ground surface. A point where there is the risk of flood disaster within the given range is determined and highlighted based on the degree of risk of flood disaster.

Flood disaster prediction

Moisture content information in soil at a specified site, and moisture content information at a ground surface within a given range that includes the specified site, are acquired. A point where there is a risk of natural disaster within the given range is determined and highlighted, based on the moisture content information in soil at the specified site and the moisture content information at the ground surface within the given range.

Determination risk of natural disaster based on moisture content information

A structure abnormality detection device that detects an abnormality of a structure includes means for storing a model that predicts, from a first inspection value acquired at a first inspection position, a second inspection value acquired at a second inspection position that is a position where a vibration intensity in vibration of a predetermined vibration mode at a natural frequency of the structure is substantially the same as at the first inspection position; and means for detecting an abnormality of the structure by evaluating fidelity of the first inspection value and the second inspection value acquired at a particular time to the model.

Structure abnormality detection device, structure abnormality detection method, storage medium, and structure abnormality detection system

A structure abnormality detection system that detects an abnormality of at least one of structures classified into a plurality of groups in which a plurality of factors that may affect behavior of structures are substantially the same includes: means for storing a model that predicts, from a first inspection value acquired at a first inspection position, a second inspection value acquired at a second inspection position that is a position where a vibration intensity in vibration of a predetermined vibration mode at a natural frequency of the structure is substantially the same as at the first inspection position; and means for detecting an abnormality of the structure by evaluating fidelity of the first inspection value and the second inspection value acquired at a particular time to the model.

Structure abnormality detection system, structure abnormality detection method, and storage medium

In order to achieve highly accurate prediction across a wide area for disasters caused by rainfall, this disaster prediction system includes: soil moisture acquisition means that acquires amount of moisture in soil at a specified site, ground surface moisture acquisition means that acquires amount of moisture at a ground surface within a given range that includes the specified site, and estimation means estimates amount of moisture in soil at a freely-selected site in the given range or a parameter that indicates a property of soil at the freely-selected site in the given range, based on the amount of moisture in the soil at the specified site and the amount of moisture at the ground surface within the given range.

Disaster prediction system, moisture prediction device, disaster prediction method, and program recording medium

Advertisement information relating to an object is provided in real time, while capturing images of the object. m first local features which are respectively feature vectors from one dimension to i dimensions are stored in association with an object, n feature points are extracted from a video picture, n second local features which are respectively feature vectors from one dimension to j dimensions are generated, the smaller number of dimensions is selected, of the number of dimensions i and the number of dimensions j, and an object is recognized to be present in the video picture and advertisement information relating to that object is provided when determination is made that at least a prescribed ratio of the m first local features of the selected number of dimensions corresponds to the n second local features of the selected number of dimensions.

Information processing system, information processing method, communications terminals and control method and control program thereof

The size of a feature descriptor is reduced, with the accuracy of object identification maintained. A local feature descriptor extracting apparatus includes a feature point detecting unit configured to detect a plurality of feature points in an image and output feature point information that is information on each of the feature points, a feature point selecting unit configured to select the predetermined number of feature points from the detected plurality of feature points in order of decreasing importance based on the feature point information, and a local feature descriptor generating unit configured to generate a local feature descriptor that is a feature descriptor in a local region for each of the selected feature points.

Local feature descriptor extracting apparatus, method for extracting local feature descriptor, and program

A search object and m-number of first local features respectively constituted by a feature vector of 1 to i dimensions of local areas of m-number of feature points in an image of the search object are stored, feature points are extracted from the image, second local features respectively constituted by a feature vector of 1 dimension to j dimensions are generated with respect to local areas of n-number of feature points, a smaller number of dimensions among the number of dimensions i of the first local features and the number of dimensions j of the second local features is selected, and an existence of the search object in the image in the video is recognized when a prescribed ratio of the m-number of first local features up to the selected number of dimensions corresponds to the n-number of second local features up to the selected number of dimensions.

Information processing system, information processing method, information processing apparatus and control method and control program thereof, and communication terminal and control method and control program thereof

Merchandise management is implemented by recognizing a piece of merchandise in an image on a video in real time. A piece of merchandise and m-number of first local feature which are respectively 1-dimensional to i-dimensional feature vectors are stored after being associated with each other, n-number of feature points are extracted from an image on a video captured by an imaging unit, n-number of second local feature which are respectively 1-dimensional to j-dimensional feature vectors are generated, a smaller number of dimensions of the number of dimensions i and the number of dimensions j is selected, and a recognition that the merchandise exists in the image on the video is made when it is determined that a prescribed proportion or more of the m-number of first local feature of the selected number of dimensions correspond to the n-number of second local feature of the selected number of dimensions.

Information processing system, information processing method, information processing device and control method and control program thereof, and communication terminal and control method and control program thereof

An object of the present invention is to reduce a size of a feature descriptor while maintaining accuracy of object identification. A local feature descriptor extracting apparatus includes: a feature point detecting unit which detects a plurality of feature points in an image and which outputs feature point information that is information regarding each feature point; a feature point selecting unit which selects a prescribed number of feature points in an order of importance from the plurality of detected feature points, based on the feature point information; a local region acquiring unit which acquires a local region corresponding to each selected feature point; a subregion dividing unit which divides each local region into a plurality of subregions; a subregion feature vector generating unit which generates a feature vector of a plurality of dimensions for each subregion in each local region; and a dimension selecting unit which selects a dimension from the feature vector for each subregion so that a correlation between neighboring subregions is lowered, based on a positional relationship between subregions in each local region and which outputs an element of the selected dimension as a feature descriptor of the local region.

Local feature descriptor extracting apparatus, local feature descriptor extracting method, and program

An input image showing a same object as an object shown in a reference image is identified more accurately. A difference area in the input image is determined by converting a difference area in the reference image, on a basis of geometric transformation information calculated by an analysis using a local descriptor. By matching a descriptor extracted from the difference area in the input image with the difference area in the reference image, fine differences that cannot be identified by conventional matching using only a local descriptor can be distinguished and images showing a same object can be exclusively identified.

Object identification apparatus, object identification method, and program

Disclosed is an object identification device and the like for reducing identification error in a reference image which presents an object that is only slightly difference from an object presented in an input image. The object identification device includes a local feature quantity matching unit for calculating geometric transformation information for transformation from a coordinate in a reference image to a corresponding coordinate in an input image, and matching a local feature quantity extracted from the reference image and a local feature quantity extracted from the input image, an input image different area determination unit for transforming the different area in the reference image on a basis of the geometric transformation information about the input image determined to be in conformity by the matching, and determining a different area in the input image corresponding to the different area in the reference image, an input image different area feature quantity extraction unit for correcting a different area in the input image, and extracting a feature quantity from the corrected different area of the input image, and a feature quantity matching unit for matching a feature quantity extracted by the input image different area feature quantity extraction unit and a feature quantity extracted from the different area in the reference image, and outputting a matching result.

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Tokyo, Japan

Ryota Mase