Intel Corporation

Wenlong Li

Glen J Anderson

Xiaofeng Tong

Yangzhou Du

Qiang Li

Yimin Zhang

Yikai Fang

Qiang Eric Li

Wei Hu

Chen Ling

Tao Wang

Jianguo Li

Lidan Zhang

Xiaolu Shen

Thomas Sachson

Yumeng Wang

Shaohui Jiao

Tae-Hoon Kim

Minje Park

Ming Lu

Peng Wang

Yurong Chen

Myung-Ho Ju

Jihyeon Kate Yi

Aamer Jaleel

Dayong Ding

Steven Thomas Holmes

JianSheng Chen

Jose E Lorenzo

Mary Smiley

Alok Mishra

Yunzhen Wang

Haihua Lin

Eric Li

Doron T Houminer

Hongzhi Tao

Johnny C Yip

Fucen Zeng

Liwei Liao

Hang Zheng

Christopher J Hughes

Anbang Yao

Lin Xu

Yu Chen

Yen-Kuang Chen

Changkyu Kim

Maria Bortman

Diego Prilusky

Yuanzhang Chang

Yuri Shpalensky

Randolph Wang

Jianbo Ye

Asaf Shiloni

Honesty Young

Alex Gendelman

Yiwei He

Longwei Fang

Caleb J Ozer

Jose Elmer S Lorenzo

Xioafeng Tong

John G Tennant

Hui A Li

Jiulong Shan

Ofer Shkedi

Amir Atzmoni

Chenning Liu

Margaret E Morris

Rudolph Wang

A system () includes multiple cameras () disposed about an area (), a processor (), and a memory () communicatively coupled to the processor. The memory stores instructions that cause the processor to receive a set of video data () associated with the cameras. In an embodiment, the set of video data includes a set of image frames associated with a set of ball tracking data (). In an embodiment, the operations include selecting a first image frame () associated with a first change in acceleration and a second image frame () associated with a second change in acceleration. In an embodiment, the operations include generating a set of virtual camera actions () based on the first image frame and the second image frame.

Systems and methods for virtual camera highlight creation

Techniques related to performing object or person association or correspondence in multi-view video are discussed. Such techniques include determining correspondences at a particular time instance based on separately optimizing correspondence sub-matrices for distance sub-matrices based on two-way minimum distance pairs between frame pairs, generating and fusing tracklets across time instances, and adjusting correspondence, after such tracklet processing, via elimination of outlier object positions and rearrangement of object correspondence.

Multi-camera person association via pair-wise matching in continuous frames for immersive video

Methods, systems and apparatuses may provide for technology that detects an individual in a real-time multi-camera video feed and generates three-dimensional (3D) skeletal data based on the real-time multi-camera video feed. The technology may also automatically identify a frontal body orientation of an individual based on the 3D skeletal data and one or more anthropometric constraints.

Technology to automatically identify the frontal body orientation of individuals in real-time multi-camera video feeds

A method for trajectory generation based on player tracking is described herein. The method includes determining a temporal association for a first player in a captured field of view and determining a spatial association for the first player. The method also includes deriving a global player identification based on the temporal association and the spatial association and generating a trajectory based on the global player identification.

Player trajectory generation via multiple camera player tracking

Embodiments are generally directed to methods and apparatuses for determining a frontal body orientation. An embodiment of a method for determining a three-dimensional (3D) orientation of frontal body of a player comprises: detecting each of a plurality of players in each of a plurality of frames captured by a plurality of cameras; for each of the plurality of cameras, tracking each of the plurality of players between continuous frames captured by the camera; and associating the plurality of frames captured by the plurality of cameras to generate the 3D orientation of each of the plurality of players.

Method and apparatus for determining a frontal body orientation

Techniques related to validating an image based 3D model of a scene are discussed. Such techniques include detecting an object within a captured image used to generate the scene, projecting the 3D model to a view corresponding to the captured image to generate a reconstructed image, and comparing image regions of the captured and reconstructed images corresponding to the object to validate the 3D model.

Automatic point cloud validation for immersive media

Methods, systems and apparatuses may provide for technology that selects a player from a plurality of players based on an automated analysis of two-dimensional (2D) video data associated with a plurality of cameras, wherein the selected player is nearest to a projectile depicted in the 2D video data. The technology may also track a location of the selected player over a subsequent plurality of frames in the 2D video data and estimate a location of the projectile based on the location of the selected player over the subsequent plurality of frames.

Technology to automatically locate ball-holding players in multi-camera video feeds

Example gesture matching mechanisms are disclosed herein. An example machine readable storage device or disc includes instructions that, when executed, cause programmable circuitry to at least: prompt a user to perform gestures to register the user, randomly select at least one of the gestures for authentication of the user, prompt the user to perform the at least one selected gesture, translate the gesture into an animated avatar for display at a display device, the animated avatar including a face, analyze performance of the gesture by the user, and authenticate the user based on the performance of the gesture.

Gesture matching mechanism

A mechanism is described for facilitating real-time multi-view detection of objects in multi-camera environments, according to one embodiment. A method of embodiments, as described herein, includes mapping first lines associated with objects to a ground plane; and forming clusters of second lines corresponding to the first lines such that an intersection point in a cluster represents a position of an object on the ground plane.

Real-time multi-view detection of objects in multi-camera environments

Embodiments are generally directed to methods and apparatuses for determining a game status. An embodiment of a method for determining a game status comprises: detecting players and a ball in a plurality of continuous frames captured by a plurality of cameras; obtaining tracking data of the players and the ball of the plurality of continuous frames; and determining a game status for each of the plurality of continuous frames based on the tracking data of the players and the ball of the plurality of continuous frames.

Method and apparatus for determining a game status

A multi-camera architecture for detecting and tracking a ball in real-time. The multi-camera architecture includes network interface circuitry to receive a plurality of real-time videos taken from a plurality of high-resolution cameras. Each of the high-resolution cameras simultaneously captures a sports event, wherein each of the plurality of high-resolution cameras includes a viewpoint that covers an entire playing field where the sports event is played. The multi-camera architecture further includes one or more processors coupled to the network interface circuitry and one or more memory devices coupled to the one or more processors. The one or more memory devices includes instructions to determine the location of the ball for each frame of the plurality of real-time videos, which when executed by the one or more processors, cause the multi-camera architecture to simultaneously perform one of a detection scheme or a tracking scheme on a frame from each of the plurality of real-time videos to detect the ball used in the sports event and perform a multi-camera build to determine a location of the ball in 3D for the frame from each of the plurality of real-time videos using one of detection or tracking results for each of the cameras.

Multi-cam ball location method and apparatus

Method, systems and apparatuses may provide for technology that extracts one or more motion features from filtered position data associated with a projectile in a game and identifies a turning point in a trajectory of the projectile based on the one or more motion features. The technology may also automatically designate the turning point as a highlight moment if one or more of the turning point or the trajectory satisfies a proximity condition with respect to a target area in the game.

Highlight moment identification technology in volumetric content creation systems

Generally this disclosure describes a video communication system that replaces actual live images of the participating users with animated avatars. A method may include selecting an avatar; initiating communication; detecting a user input; identifying the user input; identifying an animation command based on the user input; generating avatar parameters; and transmitting at least one of the animation command and the avatar parameters.

Communication using interactive avatars

Examples of systems and methods for augmented facial animation are generally described herein. A method for mapping facial expressions to an alternative avatar expression may include capturing a series of images of a face, and detecting a sequence of facial expressions of the face from the series of images. The method may include determining an alternative avatar expression mapped to the sequence of facial expressions, and animating an avatar using the alternative avatar expression.

Augmented facial animation

Methods and apparatus to generate photo-realistic three-dimensional models of a photographed environment are disclosed. An apparatus includes an object position calculator to determine a three-dimensional (3D) position of an object detected within a first image of an environment and within a second image of the environment. The apparatus further includes a 3D model generator to generate a 3D model of the environment based on the first image and the second image. The apparatus also includes a model integrity analyzer to detect a difference between the 3D position of the object and the 3D model. The 3D model generator automatically modifies the 3D model based on the difference in response to the difference satisfying a confidence threshold.

Methods and apparatus to generate photo-realistic three-dimensional models of a photographed environment

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Beijing, China

Wenlong Li