Intel Corporation

Chen Ling

Wenlong Li

Qiang Li

Xiaofeng Tong

Yumeng Wang

Yikai Fang

Ming Lu

Doron T Houminer

Hongzhi Tao

JianSheng Chen

Diego Prilusky

Haihua Lin

Hang Zheng

Amir Atzmoni

Chenning Liu

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

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

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

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

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

A video capture and processing system includes a memory configured to store a pose database. The pose database includes poses that indicate a start or stoppage in an event. The system also includes a processor operatively coupled to the memory. The processor is configured to generate a pose of an individual in a video frame of captured video of the event. The pose can be three-dimensional pose or a two-dimensional pose. The processor is also configured to determine, based on the pose database, whether the pose of the individual indicates a start or a stoppage in the event. The processor is further configured to control an upload of video of the event based on the determination of whether the pose indicates the start or the stoppage in the event.

Method and apparatus of game status determination

Methods, systems and apparatuses may provide for technology that automatically determines, based on camera calibration data and trajectory data associated with a projectile in a game, a plurality of camera angles. The technology may also automatically generate, based on the plurality of camera angles, a camera path for a volumetric content replay of a three-dimensional (3D) region of interest around a highlight moment in the game.

Automated generation of camera paths

The present disclosure provides an apparatus and method for evaluate the quality of a three dimensional (3D) point cloud. The apparatus comprises an image segmenter to generate a segmented two-dimensional (2D) image for each of the plurality of images; a 2D mask generator to generate a 2D mask for each of the plurality of images from the 3D point cloud; a comparator to compare the segmented 2D image with the 2D mask to obtain a comparison result for each image; and an evaluator to evaluate the quality of the 3D point cloud based on aggregated comparison results for the plurality of images.

Growing community of inventors

Beijing, China

Chen Ling