Nec Corporation

Canon Kabushiki Kaisha

Mitsubishi Tanabe Pharma Corporation

Mitsubishi Pharma Corporation

Hiroshi Kitajima

Kenichiro Ida

Hiroyoshi Miyano

Ryoma Oami

Yoshiharu Hayashi

Hiroshi Sakashita

Fumihiko Akahoshi

Hidemitsu Aoki

Yoshimi Shiramizu

Yasushi Sasaki

Kei Watanabe

Yuji Shimizu

Tomohiro Yoshida

Akiyoshi Kobayashi

Makoto Morita

Masahiro Takeuchi

Kaori Watanabe

Yousuke Motohashi

Seiichi Shishiguchi

Yoshiyuki Aoki

Hirofumi Seo

Yoshihito Tanaka

Takashi Tozawa

Masaharu Nakamori

Naoko Ando

Akira Tanimoto

Nahomi Ohta

Haruto Hamano

Makoto Iuchi

Hiroki Nakatani

Osamu Tsuruta

Hiroki Tamakawa

Takuya Yoshimura

A video surveillance system includes: a detection unit that detects a predetermined event on the basis of an image captured by a first imaging apparatus; and a control unit that controls a second imaging apparatus such that the second imaging apparatus captures an image of a predetermined position after the detection of the predetermined event.

Video surveillance system and video surveillance method

A plurality of information terminals present response information for machine learning. Explanatory information for the response information is input to the plurality of information terminals by a user. A server acquires the explanatory information and the response information.

Machine learning system, information terminal, information processing device, information processing method, program, learned model, and method for generating learned model

Provided is a technique for enhancing operability of a mobile apparatus. An information processing apparatus () includes a first processing unit (), a second processing unit (), and a control unit (). The first processing unit () generates information indicating an event detection position in accordance with a position on a surveillance image set in a first operation. The first operation is an operation with respect to the surveillance image displayed on a display screen. The second processing unit () performs a display change process with respect to the surveillance image or a window including the surveillance image. The control unit () causes any one of the first processing unit () and the second processing unit () to process the first operation on the basis of a second operation.

Mobile surveillance apparatus, program, and control method

An image processing apparatus includes a provisional model generation portion, a matching score obtaining portion, an evaluation portion, and a determination portion. The provisional model generation portion is configured to generate a plurality of provisional models. The matching score obtaining portion is configured to perform the pattern matching between each of the plurality of provisional models and each of a plurality of evaluation images, and obtain a first matching score group that is a set of first matching scores indicating a highest degree of similarity and a second matching score group. The evaluation portion is configured to calculate an evaluation value from the first matching score group and the second matching score group. The determination portion is configured to determine a matching model from among the plurality of provisional models on a basis of the calculated evaluation value.

Image processing method and image processing apparatus

To each of points at a position corresponding to each of candidate points extracted from a target object image in a layer upper than a target object image, an area including the point at the position corresponding to the candidate point and an area threshold are set. As a result of predicting a degree of similarity, in a case where the degree of similarity has a value smaller than the area threshold, calculation of the degree of similarity is terminated in the middle. In a case where the degree of similarity has a value equal to or greater than the area threshold, calculation of the degree of similarity is continued, and in a case where the degree of similarity has a value greater than the area threshold when calculation of the degree of similarity is completed, a next area threshold is updated with a value greater than the area threshold.

Image processing method for performing pattern matching for detecting a position of a detection target

A storage unitstores information associating each of a plurality of prediction targets with a predictor-related index related to a predictor for predicting the prediction target. Scatter graph generation meansgenerates, based on the information stored in the storage unita scatter graph in which a symbol representing the prediction target of the predictor is located at a position determined by the predictor-related index in a coordinate space where the predictor-related index is defined as at least one dimension.

Predictor visualization system, predictor visualization method, and predictor visualization program

A tentative local score between a point in a feature image in a template image and a point, in a target object image, at a position corresponding to the point in the feature image is calculated, and a determination is performed as to whether the tentative local score is smaller than 0. In a case where the tentative local score is greater than or equal to 0, the tentative local score is employed as a local score. In a case where the tentative local score is smaller than 0, the tentative local score is multiplied by a coefficient and the result is employed as a degree of local similarity.

Image processing method, image processing apparatus, program, storage medium, production apparatus, and method of producing assembly

A three-dimensional measurement method three-dimensionally restores an edge having a cross angle close to parallel to an epipolar line. Edges e, eand eon the same plane of a work are selected, and among these edges, at least two edges eand eresiding in a predetermined angle range with reference to the cross angle of 90&#xb0; crossing the epipolar line are three-dimensionally restored by a stereo method. Then, a three-dimensional plane Pincluding these three-dimensionally restored eand eis found, and the edge eresiding beyond a predetermined angle range with reference to the cross angle of 90&#xb0; crossing the epipolar line is projected to this three-dimensional plane P, thus three-dimensionally restoring the edge e.

Three dimension measurement method, three dimension measurement program and robot device

According to an aspect of the present invention, there is provided a pattern matching method of detecting an image of a detection target from a search image, comprising: obtaining a reference image of the detection target; generating the model edge image on a basis of the reference image; generating the edge extraction domain that is specified as a portion where the model edge image can exist by overlying a plurality of the model edge images obtained with at least one of rotating the model edge image within a predetermined range around a rotation center of the model edge image and translating the model edge image within a predetermined range; and performing pattern matching between the model edge image and the search edge image.

Pattern matching method and pattern matching apparatus

Growing community of inventors

Tokyo, Japan

Hiroshi Kitajima