Orad Hi-tec Systems Limited

Tetavi Ltd.

Orad Hi-tech Systems Ltd.

Track160, Ltd.

Orad, Inc.

Stats LLC

Sportvu Ltd.

Michael Tamir

Avi Sharir

Michael Birnboim

Vsevolod Kagarlitsky

Itzhak Wilf

Gilad Talmon

Michael Priven

Shirley Keinan

Gal Oz

Yair Baruch

Tamir Anavi

David Dreizner

Antonio Dello Iacono

Yaacov Chernoi

Alexander Yudashkin

Michal Heker

Zion Azar

Yair Granot

David Drezner

Amir Green

Moshe Nissim

Danielle Shor

Yigal Eilam

Alexander Steinberg

Zinovy Livshits

Peter Sprogis

David Aufhauser

Ofer Rubinstein

Gil Wohlstadter

Alik Mokeichev

A computer-implemented method of generating of a database for training a neural network configured for converting 2d images into 3d models comprising steps of: (a) obtaining 3d models; (b) rendering said 3d models in a 2d format from at least one view point; and (c) collecting pairs further comprising said rendered 2d image frame and said corresponding sampled 3d models each.

Method of training a neural network configured for converting 2D images into 3D models

The present invention generally pertains to systems, methods, and non-transitory processor-readable mediums for ensuring a match between geometry and texture when playing volumetric videos in a web browser.

Volumetric video in web browser

System and method for texturing a 3D surface using 2D images sourced from a plurality of imaging devices. System and method for applying a realistic texture to a model, based on texture found in one or more two-dimensional (2D) images of the object, with the texture covering the entire 3D model even if there are portions of the object that were invisible in the 2D image. System and method which does not require machine learning, is not incapable of blending between images, and which is not incapable of filling in portions of a 3D model that are invisible in the 2D image.

Surface texturing from multiple cameras

Methods and systems for generating free viewpoint videos (FVVs) based on images captured in a sports arena. A method includes projecting, onto objects within a filming area within the sports arena, a predefined pattern including a large set of features; generating, based on signals captured by each of a plurality of depth cameras, a point cloud for each depth camera, wherein the plurality of depth cameras is deployed in proximity to the filming area, wherein the captured signals are reflected off of the objects within the filming area; creating, based on the plurality of point clouds, a unified point cloud; meshing points in the unified point cloud to generate a three-dimensional (3D) model of the objects; texturing the 3D model based on images captured by the plurality of depth cameras; and rendering the textured 3D model as a FVV including a series of video frames with respect to a viewpoint.

System and method for rendering free viewpoint video for sport applications

Systems and methods for foreground/background separation and for studio production of a FVV. A method includes projecting, onto objects in a filming area within a studio, a predefined pattern including a large set of features; generating, based on signals reflected off of the objects and captured by a plurality of depth cameras deployed in proximity to the filming area, a local point cloud for each depth camera; separating, based on the local point clouds, between a background and a foreground of the filming area; creating, based on the local point clouds, a unified point cloud; meshing points in the unified point cloud to generate a 3D model of the objects; texturing the 3D model based on the separation and images captured by the depth cameras; and rendering the textured 3D model as a FVV including a series of video frames with respect to at least one viewpoint.

System and method for rendering free viewpoint video for studio applications

A method and system for improving a three-dimensional (3D) representation of objects using semantic data. The method comprises receiving an input data generated in response to captured video in a filming area; setting at least one parameter for each region in the input data; and generating a 3D representation based in part on the at least one parameter and semantic data associated with the input data.

Techniques for improving mesh accuracy using labeled inputs

A system and method for creating 3D graphics representations from video. The method includes: generating a skeletal model for each of at least one non-rigid object shown in a video feed, wherein the video feed illustrates a sports event in which at least one of the non-rigid objects is moving; determining at least one 3D rigged model for the at least one skeletal model; and rendering the at least one skeletal model as a 3D representation of the sports event, wherein rendering the 3D skeletal model further comprises wrapping each of at least one 3D skeletal model with one of the at least one 3D rigged model, each 3D skeletal model corresponding to one of the at least one skeletal model, wherein each 3D rigged model is moved according to the movement of the respective skeletal model when the 3D skeletal model is wrapped with the 3D rigged model.

Techniques for rendering three-dimensional animated graphics from video

A method and system for tracking movements of objects in a sports activity are provided. The method includes matching video captured by at least one camera with sensory data captured by each of a plurality of tags, wherein each of the at least one camera is deployed in proximity to a monitored area, wherein each of the plurality of tags is disposed on an object of a plurality of monitored objects moving within the monitored area; and determining, based on the video and sensory data, at least one performance profile for each of the monitored objects, wherein each performance profile is determined based on positions of the respective monitored object moving within the monitored area.

Techniques for object tracking

It is provided a system for embedment within a sport playing object, a ball for example. The system is associated with continuous determination of a state of the object, its location and pose. The system includes an inertial navigation system (INS) module first state module adapted for measuring parameters associated with the object state, a wireless transmitter, a battery for providing electric power, and a mounting module connecting the object with the first state module, the wireless transmitter and the battery. Independent data relating to the object state is provided by a second state module, a camera system for example. The object state is calculated in accordance with the parameters measured by the first state module and in accordance with the independent provided data. The camera system capturing the object includes at least two mutually displaced camera clusters, and each camera cluster includes one or more cameras for providing a predetermined spatial resolution. The system may include a global positioning system (GPS) module which provides the independent data relating to the object state.

System and method for location tracking

It is provided a method for converting video streams capturing a scene to video streams fitting a viewpoint configuration. The video streams are provided by video cameras, and the method includes receiving parameters associated with the viewpoint configuration, and converting video streams of the scene as captured by the video cameras to video streams fitting the viewpoint configuration. The viewpoint configuration may be a dynamic viewpoint configuration determined by a joystick module. The converting may be done using a three dimensional method, and includes separating objects of the scene from other portions of the scene. The method may includes integrating the scene into the video stream of a certain scene associated with the viewpoint configuration. Sometimes the viewpoint configuration includes a varying zoom and the converting is done using one of several methods, transition between adjacent video cameras having different zoom values, real zooming of a video camera having a motorized zoom, and digital zooming in of video streams. The converting may be done on video streams which have been captured the scene in advance before commencing the converting.

Method and system for fusing video streams

A cooperative tracking system designed to track multiple cooperative targets within a given field in real time with high precision and high update rate comprises a microwave transmitter and two receivers with each target being provided with one or more coded microwave transponders which enable calculation of both position, speed and in a preferred embodiment direction of movement of each target.

Tracking system for sports

Apparatus and method for inserting virtual objects into a video sequence including a camera position sensing system which uses LED's to provide perspective information for the camera sensing system thereby allowing natural scenery to be used.

Virtual studio position sensing system

A position detecting device for an object within virtual set comprises providing the object with an emitting device and using the device in conjunction with a plain or patterned chroma-key background to provide the exact position of a TV camera or alone to provide a position for another object or actor.

Apparatus for automatic electronic replacement of a billboard in a video image including an automatic camera orientation measurement apparatus including motion measurement means operative to measure the Field of View (FOV) of the TV camera relative to a known reference position.

Method and apparatus for automatic electronic replacement of billboards in a video image

The position of players which may be persons or other objects such as racing cars, sail boats etc. in a sports event is identified and this data is used to create a 3-D image of the event enabling the event to be viewed from any desired angle and also enabling the data to be transmitted to remote viewers enabling the viewers to view the event in 3-D and also to introduce virtual players to compete with real players in the event and to compete with other viewers.

Growing community of inventors

Tel Aviv, Israel

Michael Tamir