There is provided a control apparatus including: a processing unit configured to decide, on a basis of object information indicating a state of an object, a plurality of imaging devices that image the objects such that each of all the objects included in a predetermined area imaged by the plurality of imaging devices falls within an angle of view at which the at least two or more imaging devices perform imaging, and control each of the plurality of imaging devices.

Embodiments include devices and methods for capturing images of a game by an unmanned autonomous vehicle (UAV). A processor of the UAV may determine game play rules of the game. The processor may predict a game action based on the determined game play rules. The processor may determine a position from which to capture an image of the game based on the predicted game action, and may move the UAV to the determined position to enable the UAV to capture of an image of the game from the determined position.

A calibrator for cameras includes a controlling circuit, a photographing circuit, a calculating circuit, and an instructing circuit. The controlling circuit is configured to control a movable body in a shooting area of the cameras. A marker is provided on the movable body for calibration of the cameras. The photographing circuit is configured to control the cameras to photograph the marker at a first position at a first timing to generate first images. The photographing circuit is configured to control the cameras to photograph the marker at a second position at a second timing to generate second images. The calculating circuit is configured to calculate parameters of the cameras based on the first images and the second images. The instructing circuit is configured to transmit the parameters to the cameras to calibrate the cameras.

Methods, systems, and computer-program products used for assessing athletic ability and generating performance data. In one embodiment, athlete performance data is generated through computer-vision analysis of video of an athletic performing, e.g., during practice or gameplay. The generated performance data for the athlete may include, for example, maximum speed, maximum acceleration, time to maximum speed, transition time (e.g., time to change direction), closing speed (e.g., time to close the distance to another athlete), average separation (e.g., between the athlete and another athlete), play-making ability, athleticism (e.g., a weighted computation and/or combination of multiple metrics), and/or other performance data. This performance data may be used to generate and/or update a profile associated with the athlete, which can be utilized for recruiting, scouting, comparing, and/or assessing athletes with greater efficiency and precision.

A modular tracking system is described comprising of the network of independent tracking units optionally accompanied by a LIDAR scanner and/or (one or more) elevated cameras. Tracking units are combining panoramic and zoomed cameras to imitate the working principle of the human eye. Markerless computer vision algorithms are executed directly on the units and provide feedback to motorized mirror placed in front of the zoomed camera to keep tracked objects/people in its field of view. Microphones are used to detect and localize sound events. Inference from different sensor is fused in real time to reconstruct high-level events and full skeleton representation for each participant.

There is provided a control apparatus including: a processing unit configured to decide, on a basis of object information indicating a state of an object, a plurality of imaging devices that image the objects such that each of all the objects included in a predetermined area imaged by the plurality of imaging devices falls within an angle of view at which the at least two or more imaging devices perform imaging, and control each of the plurality of imaging devices.

An example system for lightweight view dependent rendering is described herein. The system includes at least one memory, and at least one processor to execute instructions to track a moving object within a first view of a scene, the first view captured by a first camera of a plurality of cameras. The plurality of cameras to capture video data of the scene from a plurality of angles. The at least one processor to extract a portion of the video data to obtain a cropped video corresponding to the moving object within the first view. The at least one processor to generate a billboard representation based on the cropped video. The at least one processor to cause the billboard representation to be presented on a display in front of a two-dimensional background.

One embodiment provides a method, including: obtaining, from each of two more panoramic cameras, panoramic video, wherein each of the two or more panoramic cameras are located at different physical locations within an event environment; compositing the panoramic video obtained from the two or more panoramic cameras into a single video; and streaming the composited panoramic video to one or more end users, wherein each of the one or more end users provide commands to manipulate the streamed composited panoramic video resulting in viewing of a different view of the streamed composited panoramic video for the corresponding end user based on the provided commands.

A first plurality of images obtained via an image capture device is obtained. A first set of pixels in a first image of the first plurality of images identify is identified based on specified criteria. A first set of coordinates associated with the first set of pixels is determined. A second set of coordinates is generated based on the first set of coordinates. A second set of pixels in a second image of the first plurality of images is identified, based on the specified criteria and a proximity to the second set of coordinates. A first trajectory between the first set of pixels and the second set of pixels is generated. The first trajectory is determined to correspond to a second trajectory associated with a second plurality of images obtained via a second image capture device, and the first trajectory and the second trajectory are outputted.

A setting apparatus sets a virtual viewpoint corresponding to a virtual viewpoint image that is generated based on images obtained by image capturing from a plurality of directions. The setting apparatus includes one or more hardware processors, and one or more memories that store instructions executable by the one or more hardware processors to cause the setting apparatus to determine a common image capturing area that is included within each of a plurality of fields of view, of a plurality of image capturing apparatuses used for obtaining at least a part of the plurality of captured images, and to cause a graphical user interface (GUI), used for setting the virtual viewpoint, to identifiably display the determined common image capturing area. In addition, the setting apparatus sets of the virtual viewpoint according to a user input based on the GUI identifiably displaying the determined common image capturing area.