The University of Tokyo

Nissan Motor Company Limited

Fujitsu Corporation

Wataru Takano

Yoshihiko Nakamura

Yosuke Ikegami

Jun Hashimoto

Akihiro Matsushita

Akihiko Yabuki

Takashi Sunda

Kazuki Yamamoto

Kentaro Takemoto

Takuya Ohashi

The invention relates to automatic discovery and evaluation of a motion by treating motion recognition as an optimization problem by considering a series of basic motions obtained by segmenting a subject motion. The method comprises segmenting time series data defining a motion of a subject into a plurality of segments, classifying each segment into a class for a basic motion by using time series data of the segment, and converting the motion of the subject to a sequence of high rank symbols in which each high rank symbol is formed from a series of the basic motions, wherein a function that calculates a score based on a set of a high rank symbol and a sequence of basic motions is provided and the motion of the subject is converted to the sequence of the high rank symbols by an optimization calculation using dynamic programming.

Motion recognition method and device

The present invention provides a motion capture with a high accuracy which can replace an optical motion capture technology, without attaching optical markers and sensors to a subject. A subject with an articulated structure has a plurality of feature points in the body of the subject including a plurality of joints wherein a distance between adjacent feature points is obtained as a constant. A spatial distribution of a likelihood of a position of each feature point is obtained based on a single input image or a plurality of input images taken at the same time. One or a plurality of position candidates corresponding to each feature point are obtained based on the spatial distribution of the likelihood of the position of each feature point. Each join angle is obtained by performing an optimization calculation based on inverse kinematics using the candidates and the articulated structure. Positions of the feature points including the joints are obtained by performing a forward kinematics calculation using the joint angles.

Method and system for obtaining joint positions, and method and system for motion capture

A driving assistance system has a driving information acquisition unit that acquires any of an amount of operations by a driver, a vehicle behavior, a state of the driver, and information regarding the environment surrounding a vehicle as driving information, a vehicle location information acquisition unit that acquires vehicle location information, a statistical information generation unit that generates statistical information by statistically processing the driving information as a time-series pattern, an information associating unit that associates the statistical information with the vehicle location information at the time of the acquisition of the driving information, an information reference unit that references and reads the statistical information based on the location information acquired by the vehicle location information acquisition unit, a driving assistance unit that performs driving assistance based on the statistical information read by the information reference unit, and a communication unit.

Driving assistance system and driving assistance method

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Tokyo, Japan

Wataru Takano