Sony Corporation

Sony Group Corporation

Taketo Akama

Yasutaka Hirasawa

Hideki Oyaizu

Suguru Aoki

Yuhi Kondo

Masataka Shinoda

Jianing Wu

An information processing apparatus according to an embodiment of the present technology includes a detection unit, an estimation unit, and a prediction unit. The detection unit detects a target object from an input image. The estimation unit estimates a posture of the detected target object. The prediction unit predicts an action of the target object on a basis of the estimated posture.

Information processing apparatus and information processing method

An information processing apparatus () according to the present disclosure includes an acquiring unit () that uses a trained encoder to acquire a feature value of each set of partial data forming first content; a calculating unit () that calculates a relative feature value that is a relative feature value between sets of partial data from the acquired feature values of the sets of partial data to calculate a relative feature value sequence indicating a feature of a structure of the first content; and a generating unit () that generates second content based on the relative feature value sequence of the first content and a feature value of optional data.

Information processing apparatus, information processing method, and information processing program

An information processing apparatusaccording to the present disclosure includes an extraction unitthat extracts first data from an element constituting first content, and a model generation unitthat generates a learned model that has a first encoderthat calculates a first feature quantity which is a feature quantity of first content, and a second encoderthat calculates a second feature quantity which is a feature quantity of the extracted first data.

Information processing method, information processing apparatus, and information processing program

A damage reduction device according to an embodiment of the present technology includes an input unit, a prediction unit, a recognition unit, and a determination unit. The input unit inputs status data regarding a status in a moving direction of a moving body apparatus. The prediction unit predicts a collision with an object in the moving direction on the basis of the status data. The recognition unit recognizes whether the object includes a person. The determination unit determines, when the collision with the object is predicted and it is recognized that the object includes a person, a steering direction of the moving body apparatus in which a collision with the person is avoidable, on the basis of the status data.

Damage reduction device, damage reduction method, and program

Methods and apparatus for analyzing embryonic development images. The method comprises obtaining a plurality of embryonic development images captured in a time series, determining, for at least one of the plurality of embryonic development images, a time series of evaluation values for each of a plurality of evaluation items associated with the plurality of embryonic development images, and evaluating a characteristic of cells represented in one or more of the plurality of embryonic development images based, at least in part, on the time series of evaluation values for the plurality of evaluation items.

Information processing apparatus, information processing method, and program

A polarized image acquisition unitacquires polarized images in a plurality of polarization directions. A reflection information generation unitgenerates reflection information indicating reflection components from the polarized images in the plurality of polarization directions acquired by the polarized image acquisition unit. A reflection information using unituses the reflection information generated by the reflection information generation unitto acquire an image of a viewed object appearing in the polarized images. A depth estimation unit estimates a depth value of a reflective surface area and acquires a position of the viewed object on the basis of an image of the viewed object appearing in the reflective surface area and the estimated depth value. Therefore, the viewed object positioned in, for example, an area of a blind spot can be easily checked.

Information acquisition apparatus and information acquisition method

A control apparatus includes an input unit and a control unit. To the input unit, a pickup image of a camera provided to an own vehicle is input. The control unit detects a mirror provided to a different vehicle that exists in front of the own vehicle from the input pickup image, detects a person from a mirror image of the detected mirror, and recognizes a state of the person from an image of the detected person. Further, the control unit performs an alerting process or a control process for the own vehicle to prevent an accident of the own vehicle or the different vehicle in accordance with the recognized state of the person.

Control apparatus, control method, and program

An image acquisition unit-acquires a polarization image and a non-polarization image indicating a peripheral area of a moving body, such as the peripheral area of a vehicle. A discrimination information generation unit-uses the polarization image acquired by the image acquisition unit-and generates analysis object discrimination information indicating a road surface or the like. An image analysis unit-uses an image of an image analysis area set on the basis of the analysis object discrimination information generated by the discrimination information generation unit-with respect to the non-polarization image acquired by the image acquisition unit-, and performs a discrimination of an object, such as an obstacle on the road surface. It is possible to efficiently perform a determination of the presence of the object from the non-polarization image of the peripheral area of the moving body.

Image processing apparatus, image processing method, and vehicle control system to determine the presence of an object from an image of a peripheral area of a moving body

An information processing apparatus according to an embodiment of the present technology includes a detection unit, an estimation unit, and a judgment unit. The detection unit detects a target object from an input image. The estimation unit estimates a posture of the detected target object. The judgment unit judges a possibility of the target object slipping on the basis of the estimated posture.

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Tokyo, Japan

Taketo Akama