Methods, systems, graphical user interfaces (GUIs), and computer-readable media for presenting GUI elements generated based on information associated with an event are generally described. An event information presentation system may be configured to present GUI elements generated based on substantially real-time event information associated with a live event, such as a sporting event. Illustrative event information may include object movement and location information for objects such as event participants (for instance, players) and articles (for instance, a football for a football game event). The event information may be interpreted based on activity categories to automatically differentiate, organize, highlight, or the like the event information in order to generate relevant and meaningful GUI elements.

A system including a computing device and camera is disclosed; the system configured for measuring three-dimensional attributes and associated performance measurements of a mechanical device. Some embodiments comprise a camera configured to capture images of the mechanical device and a computing device in communication with the camera. In some embodiments, the computing device is configured to access a first set of pixels associated with a first plurality of fiducials to calibrate a spatial resolution of the camera. A second image from the camera can be converted into a second set of pixels associated with each of the plurality of fiducials, which are attached to the mechanical device. The computing device can be further configured to compare the first and second set of pixels to determine the location of the plurality of fiducials on the mechanical device.

A method for determining a passing time of an object passing a timing line across a sports track comprises receiving a sequence of time-stamped video frames captured by at least one camera representing pictures of a scene of one or more objects moving along a track; determining depth maps for the sequence of frames comprising information regarding the distance between the one or more objects in the picture of a frame and the camera system; detecting one or more objects using an object detection algorithm; determining a detected object in the frames passing a timing line across a track, the timing line being defined by a virtual plane at a predetermined distance from the camera, the determination of the passing being based on the coordinates of the virtual plane and the depth maps; determining a passing time based on a time stamp of a frame comprising a detected object passing the timing line.

Systems and methods are presented for generating statistics associated with a performance of a participant in an event, wherein pose data associated with the participant, performing in the event, are processed in real time. Pose data associated with the participant may comprise positional data of a skeletal representation of the participant. Actions performed by the participant may be determined based on a comparison of segments of the participant's pose data to motion patterns associated with actions of interests.

A method for jockey and horse recognition and tracking. The method includes receiving input images or a sequence of images obtained from horse racing videos or video streams; extracting features from the images by computational methods; locating jockey and horse positions of a target horse in the images by the computational methods; deciding to accept or reject the computed jockey and horse positions according to an acceptance function; and producing the final jockey and horse positions and their associated information by an error correction algorithm.

An electronic device and method for personalized fitness activity training using augmented-reality based avatar are provided. The electronic device receives a first set of images of a first user. The first set of images is captured for a duration in which the first user is engaged in a first fitness activity. The electronic device generates an augmented-reality display that includes a first avatar and an image of the first user based on the first set of images. The electronic device further controls a display device to render the generated augmented-reality display. The electronic device further determines posture information of the first user based on the first set of images. The electronic device determines real-time feedback based on application of a first neural network model on the determined posture information. The electronic device controls the first avatar to output the determined real-time feedback in the augmented-reality display.

A method may include obtaining sensor data from one or more activity sensors, each of the activity sensors being coupled to a respective area of a sports user. The method may include obtaining image data of the sports user and each of the activity sensors coupled to the sports user. The method may include identifying, by a machine learning module and based on the sensor data and the image data, a respective muscle associated with each respective area to which the activity sensors are coupled. The method may include identifying movement of the sports user based on the sensor data from the activity sensors and the identified body part. The method may include analyzing the identified movement of the sports user including evaluating a body posture of the sports user, identifying one or more movement patterns of the sports user, and/or performing an injury assessment for the sports user.

A system and method is disclosed for a surround-perspective motion annotation comprising: an image/video input for capturing and/or parsing into at least one image frame of a subject performing at least one motion from each of at least three perspectives; a vector generating module for generating a test vector or wire mesh corresponding to a pose of the subject in each of the captured/parsed frame from each of the perspectives; and an annotation module for inputting a drawing imposed on the test vector/mesh for a visual contrast against any one of a feature from the test vector/mesh from any one of the perspectives. Further disclosed embodiments include for a system and method for generating multi-perspective, color-coded deviations of a subject from a reference (color wheel). Further embodiments include for a system and method for generating an optimal motion signature (OMS) for the subject based on his or her generated color wheel.

A method may include capturing image data associated with an object in a defined environment at one or more points in time. The method may include capturing radar data associated with the object in the defined environment at the same points in time. The method may include obtaining, by a machine learning model, the image data and the radar data associated with the object in the defined environment. The method may include pairing each image datum with a corresponding radar datum based on a chronological occurrence of the image data and the radar data. The method may include generating, by the machine learning model, a three-dimensional motion representation associated with the object that is associated with the image data and the radar data.

Data processing systems and methods are disclosed for combining video content with one or more augmentations to produce augmented video. Objects within video content may have associated bounding boxes that may each be associated with respective RGB values. Upon user selection of a pixel, the RGBA value of the pixel may be used to determine a bounding box associated with the RGBA value. The client may transmit an indicator of the determined bounding box to an augmentation system to request augmentation data for the object associated with the bounding box. The system then uses the indicator to determine the augmentation data and transmits the augmentation data to the client device.