Samsung Electronics Co., Ltd.

Jin-Wuk Choi

Young-Gu Jin

Sang-Bo Lee

Jin-Kyung Lee

Gi-Sang Lee

Kyung-Il Kim

Min-Ho Kim

Jung-seop Kim

Dong-Wook Kwon

Dong-wook Kwon

Jeong-Hoon Park

Yoon-Dong Park

Won-Joo Kim

Min Ho Kim

Sun-tae Jung

Min-ho Kim

Ji-hyo Lee

Jae-min Soh

Nam-su Ha

Ji-hong Kang

Ho-yub Jung

Soon-mook Jeong

Ho-Yub Jung

Nam-Su Ha

Jin-kyung Lee

Jung-Seop Kim

A method of recognizing motion of an object may include periodically obtaining depth data of a first resolution and two-dimensional data of a second resolution with respect to a scene using an image capturing device, wherein the second resolution is higher than the first resolution; determining a motion tracking region by recognizing a target object in the scene based on the depth data, such that the motion tracking region corresponds to a portion of a frame and the portion includes the target object; periodically obtaining tracking region data of the second resolution corresponding to the motion tracking region; and/or analyzing the motion of the target object based on the tracking region data.

Methods of and apparatuses for recognizing motion of objects, and associated systems

A method for controlling a user interface of an apparatus to enable intuitive manipulation for an object included in an image is provided. An object with deeper depth in a rear image of the apparatus may become selectable when the user holds a user input means close to the apparatus, while an object with shallower depth in the rear image may become selectable when the user draws the user input means away from the apparatus, thereby allowing the user to intuitively select an object in the rear image.

Apparatus and method for controlling user interface to select object within image and image input device

Methods, systems, and devices for guiding a subject back within the recognizable visual range of a multimedia system are described. According to one of the described methods, when it is determined that the target has left the recognizable range of the multimedia system, sensor information is acquired from a portable electronic device (or controller) the user has been using to control the multimedia system, and the acquired sensor information is used to determine where the user is, relative to the recognizable range. In one example, the user is asked to make a gesture with the portable electronic device, and the sensor information concerning that gesture is used to determine the user's relative location. In another example, the sensor information recorded at the time the user left the recognizable range is used to determine the user's relative location.

Method for guiding controller to move to within recognizable range of multimedia apparatus, the multimedia apparatus, and target tracking apparatus thereof

A mobile system may comprise a three-dimensional (3D) image sensor on a first surface of the mobile system configured to perform a first sensing to detect proximity of a subject and a second sensing to recognize a gesture of the subject by acquiring distance information for the subject; and/or a display device on the first surface of the mobile system to display results of the first sensing and the second sensing. A mobile system may comprise a light source unit; a plurality of depth pixels; and/or a plurality of color pixels. The light source unit, the plurality of depth pixels, or the plurality of color pixels may be activated based on an operation mode of the mobile system.

Mobile systems including image sensors, methods of operating image sensors, and methods of operating mobile systems

An apparatus and a method for recognizing a human body in a hybrid manner are provided. The method includes calculating body information used for recognizing a human body from an input image, detecting a region of the human body in a learning-based human body recognition manner by using the calculated body information, and tracing a movement of the detected region of the human body in a modeling-based human body recognition manner. Thereby, it is possible to quickly perform more accurate and precise recognition of the human body.

Apparatus and method for recognizing human body in hybrid manner

Disclosed herein is a method for providing image contents. The method for providing image contents includes: dividing the image contents into a plurality of scenes, each scene including a plurality of shots; classifying image frames for each scene depending on each of a plurality of characters appearing in the image contents; receiving a user input for selecting any one of the plurality of characters; and displaying a scene corresponding to the character selected depending on the user input.

Method and apparatus for providing image contents

A method and an apparatus for controlling a display in order to secure an appropriate viewing distance between a digital device and a user who is viewing the digital device is provided. Accordingly, the method determines whether an object exists within a hazardous viewing distance using a 3D camera function provided in the digital device. If it is determined that an object exists within the hazardous viewing distance, the digital device detects a face or eyes from 2D images photographed by the camera. Next, the direction of the face is determined on the basis of the detected results, and it is determined whether a user is viewing a display screen of the digital device based on the determination. If it is determined that a user is viewing a display screen of a digital device, the digital device generates a warning that the user is positioned within a hazardous viewing distance.

Method and apparatus for protecting eyesight

A method of estimating an orientation of a body is provided. The method includes determining a reference point based on a first region of a body, calculating a translation matrix of a world coordinate system based on the reference point; determining a first vector based on the reference point and a second region of the body, calculating a first rotation matrix rotated by an angle &#x3b1; about a first rotation vector, which is perpendicular to the first vector and a Z-axis of the world coordinate system, as a first rotation axis, determining a second vector based on the first vector and a third region of the body, calculating a second rotation matrix rotated by an angle &#x3b2; about the Z-axis of the world coordinate system as a second rotation axis, and calculating a transformation matrix based on the translation matrix, the first rotation matrix, and the second rotation matrix.

Method and apparatus for estimating orientation of body, and computer readable storage medium of recording the method

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Seoul, South Korea

Jin-Wuk Choi