41 results about "Ball tracking" patented technology

A system for predicting a resting position of a golf ball may use ball tracking sensor data to identify an impact location of the ball. Modeling of ball movement following impact may be performed that incorporates measured ball impact physics, impact coordinates, and material properties of ground or objects to which the impact coordinates correspond and, together with historical shot data corresponding to the impact coordinates or an encompassing zone, bounce and roll behavior and / or final resting position predictions may be generated.

Disclosed techniques relate to using one or more of baseball match statistics, textual insights, predictions (e.g., team and player at the match level, and team at the season level), graphics, video overlays, and player and ball tracking data. Tracking data may be generated using an in-venue feed or a broadcast feed. The tracking data may be supplemented with event data which may be provided by an operator or an automated system based on the events related to a given sport within a venue or via a broadcast feed. The tracking data and / or event data may be used to generate insights such as match statistics, textual insights, predictions, graphics, video overlays, and or the like. Accordingly, the tracking data and insights generated in accordance with the subject matter disclosed herein may be specific to a given sporting event and / or the sport associated with the sporting event.

A system for predicting a resting position of a golf ball may use ball tracking sensor data to identify an impact location of the ball. Modeling of ball movement following impact may be performed that incorporates measured ball impact physics, impact coordinates, and material properties of ground or objects to which the impact coordinates correspond and, together with historical shot data corresponding to the impact coordinates or an encompassing zone, bounce and roll behavior and / or final resting position predictions may be generated.

Disclosed techniques relate to using one or more of racing event statistics, textual insights, predictions (e.g., team and player at the event level, and team at the season level), graphics, video overlays, and player and ball tracking data. Tracking data may be generated using an in-venue feed or a broadcast feed. The tracking data may be supplemented with event data which may be provided by an operator or an automated system based on the events related to a given sport within a venue or via a broadcast feed. The tracking data and / or event data may be used to generate insights such as event statistics, textual insights, predictions, graphics, video overlays, and or the like. Accordingly, the tracking data and insights generated in accordance with the subject matter disclosed herein may be specific to a given sporting event and / or the sport associated with the sporting event.

A ball flight management system includes a receiver configured to receive a wireless signal comprising an indication of an intended pitch type selected from among a plurality of intended pitch types, one or more sensors configured to measure one or more ball flight parameters of a pitched ball and output one or more measured ball flight parameters, and a recording unit in communication with the one or more sensors and the receiver, the recording unit receiving and storing the one or more measured ball flight parameters output by the one or more sensors and the indication of the intended pitch type received by the receiver, the recording unit associating the intended pitch type with the at least one measured ball flight parameter to generate a record for the pitched ball that includes the at least one measured ball flight parameter and the intended pitch type, and storing the record.

Disclosed techniques relate to using one or more of soccer match statistics, textual insights, predictions (e.g., team and player at the match level, and team at the season level), graphics, video overlays, and player and ball tracking data. Tracking data may be generated using an in-venue feed or a broadcast feed. The tracking data may be supplemented with event data which may be provided by an operator or an automated system based on the events related to a given sport within a venue or via a broadcast feed. The tracking data and / or event data may be used to generate insights such as match statistics, textual insights, predictions, graphics, video overlays, and or the like. Accordingly, the tracking data and insights generated in accordance with the subject matter disclosed herein may be specific to a given sporting event and / or the sport associated with the sporting event.

Disclosed techniques relate to using one or more of tennis match statistics, textual insights, predictions (e.g., team and player at the match level, and team at the season level), graphics, video overlays, and player and ball tracking data. Tracking data may be generated using an in-venue feed or a broadcast feed. The tracking data may be supplemented with event data which may be provided by an operator or an automated system based on the events related to a given sport within a venue or via a broadcast feed. The tracking data and / or event data may be used to generate insights such as match statistics, textual insights, predictions, graphics, video overlays, and or the like. Accordingly, the tracking data and insights generated in accordance with the subject matter disclosed herein may be specific to a given sporting event and / or the sport associated with the sporting event.

A golf simulation system comprises a tilting platform including a planar golf stroke surface, and at least one inclinometer affixed to the golf stroke surface, a projection screen located at one end of the tilting platform, at least one platform ball tracking system including a visual sensor, at least one simulation ball tracking system including a trigger and a sensor; at least one platform projection system including a projector, at least one simulation projection system including a projector, and an integration hub operatively connected to the tilting platform, the at least one platform and simulation ball tracking systems, and the at least one platform and simulation projection systems.

The application discloses a VR rendering optimization method and system based on eyeball tracking, a medium and an electronic device, and the method comprises the following steps: preprocessing VR data to obtain target data; predicting a gaze center point at the next moment according to the target data and based on a trained bidirectional LSTM time sequence neural network; setting a dynamic resolution mapping of VR rendering according to the gaze center point; setting a plurality of rendering areas of the VR rendering according to the gaze center point; dynamically adjusting target dynamic quantization parameters corresponding to the plurality of rendering areas respectively based on the current network condition; performing VR dynamic rendering at the next moment based on the dynamic resolution mapping and the target dynamic quantization parameters corresponding to each rendering area respectively; therefore, the application allocates rendering tasks in advance according to the predicted gaze center point, so that the user can avoid dizziness; meanwhile, the rendering adopts dynamic resolution mapping, so that the rendering calculation amount can be reduced, and the fragmentation caused by traditional partitioning can be avoided.

A method and a system are provided for ball tracking in a physical mini-golf (crazy golf) game for computer visualisation. The method comprises obtaining synchronised camera data from multiple cameras positioned to capture movement of a ball on a course from a tee-off position to the hole cup. A ball is identified 305 and linked to a registered player at the tee-off position by capturing a repeating polygonal pattern upon the ball using pattern recognition. The method further comprises tracking the identified ball using the synchronised camera data to provide three-dimensional (3D) coordinates 307 and generating events (e.g. identification of legal shots 308 and determining when a ball is in the cup 309) relating to the ball during the movement on the course. The method provides the 3D coordinates of the ball tracking and the events to a computer visualisation system for display 310. The method may use irradiating the course hole with infrared light 302 to facilitate infrared image acquisition. The 3D coordinates for ball position may be provided by using a supplied 3D model of each course hole, or by using triangulation using two or more calibrated cameras. An associated system and computer program product for ball tracking is also described.

A system (600) includes multiple cameras (104) disposed about an area (102), a processor (606), and a memory (608) communicatively coupled to the processor. The memory stores instructions that cause the processor to receive a set of video data (602) 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 (618, 622). In an embodiment, the operations include selecting a first image frame (626) associated with a first change in acceleration and a second image frame (628) associated with a second change in acceleration. In an embodiment, the operations include generating a set of virtual camera actions (630) based on the first image frame and the second image frame.

Disclosed techniques relate to using one or more of rugby match statistics, textual insights, predictions (e.g., team and player at the match level, and team at the season level), graphics, video overlays, and player and ball tracking data. Tracking data may be generated using an in-venue feed or a broadcast feed. The tracking data may be supplemented with event data which may be provided by an operator or an automated system based on the events related to a given sport within a venue or via a broadcast feed. The tracking data and / or event data may be used to generate insights such as match statistics, textual insights, predictions, graphics, video overlays, and or the like. Accordingly, the tracking data and insights generated in accordance with the subject matter disclosed herein may be specific to a given sporting event and / or the sport associated with the sporting event.

Disclosed techniques relate to using one or more of football match statistics, textual insights, predictions (e.g., team and player at the match level, and team at the season level), graphics, video overlays, and player and ball tracking data. Tracking data may be generated using an in-venue feed or a broadcast feed. The tracking data may be supplemented with event data which may be provided by an operator or an automated system based on the events related to a given sport within a venue or via a broadcast feed. The tracking data and / or event data may be used to generate insights such as match statistics, textual insights, predictions, graphics, video overlays, and or the like. Accordingly, the tracking data and insights generated in accordance with the subject matter disclosed herein may be specific to a given sporting event and / or the sport associated with the sporting event.

Disclosed techniques relate to using one or more of soccer match statistics, textual insights, predictions (e.g., team and player at the match level, and team at the season level), graphics, video overlays, and player and ball tracking data. Tracking data may be generated using an in-venue feed or a broadcast feed. The tracking data may be supplemented with event data which may be provided by an operator or an automated system based on the events related to a given sport within a venue or via a broadcast feed. The tracking data and / or event data may be used to generate insights such as match statistics, textual insights, predictions, graphics, video overlays, and or the like. Accordingly, the tracking data and insights generated in accordance with the subject matter disclosed herein may be specific to a given sporting event and / or the sport associated with the sporting event.

1. The name of the design product: the graphical user interface of the eye tracking system setting of the electronic device. 2. The use of the design product: an electronic device. 3. The design points of the design product: the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: for showing the graphical user interface of the eye tracking interaction system setting. 6. The human-computer interaction mode of the graphical user interface: the front view is a setting display interface, clicking the right arrow button in the calibration of the front view can display the interface change state diagram 1; when the two circles corresponding to the user's eyes in the interface change state diagram 1 fall into the dotted circle at the same time, the countdown is completed and enters the calibration interface as shown in interface change state diagram 2.

The application provides an air projection control method and system based on eyeball tracking, and the method comprises the following steps: detecting whether there is an air projection operation instruction, wherein the air projection operation instruction comprises voice request information, vehicle state information and / or eyeball label information; if there is no air projection operation instruction, the imaging surface of the air projection is in a preset position; if there is an air projection operation instruction, based on a response priority rule, the angle and the imaging area of the air projection are adjusted according to the voice request information, the vehicle state information and / or the eyeball label information. The application can comprehensively combine voice request, vehicle state and eyeball tracking technology, adaptively adjust the angle and the projection size of projection imaging according to a preset response priority, meet the projection display requirements of personnel on each seat in the vehicle, enhance the functionality and interestingness of the vehicle-mounted projection function, and improve the experience of the driver and the passenger.

A method and a system are provided for ball tracking in a physical golf game for computer visualisation. The method includes: obtaining camera data from multiple cameras positioned to capture movement of a ball on a course hole from a tee-off position; and identifying a ball at the tee-off position by capturing a pattern by a camera with the pattern provided repeatedly on the ball with the pattern being a shape divided into a visual coding of geometric areas that divide the shape into parts with the geometric areas contrasted to represent a code. The method includes: tracking the identified ball using the camera data to provide three-dimensional coordinates. The method provides the three-dimensional coordinates of the ball tracking and events relating to the ball to a computer visualisation system for display.

The invention discloses a dynamic simulation VR racing simulator and a use method, and belongs to the technical field of virtual reality simulation. The simulator comprises a dynamic physical simulation frame, a VR head display assembly and a dynamic simulation control system. The dynamic physical simulation frame adopts a three-degree-of-freedom motion platform, and simulates the motion posture and acceleration impact of the vehicle through a driving motor, an actuator and a sliding plate; the VR head-mounted display assembly is integrated with an eyeball tracking module and a biosensor, and captures a visual focus and a physiological state of a user in real time; the dynamic simulation control system synchronously processes multi-source data through a data fusion module, generates a low-delay control instruction by using a vestibular-visual conflict elimination algorithm, and dynamically optimizes exercise intensity and a rendering strategy according to physiological feedback of a user through an adaptive adjustment module. According to the invention, multi-sensory synchronous feedback of vision, vestibular sense and touch sense is realized, the occurrence of motion sickness is effectively reduced, and highly immersive and personalized racing car simulation experience is provided.

The application discloses a kind of based on man-machine consistent man-machine co-pilot environment perception method, including to the original point cloud data obtained based on laser radar is carried out ground segmentation and clustering processing, obtain the target detection result of laser radar;Image data is detected using deep learning algorithm, and the target detection result of camera is obtained;Joint calibration is carried out using camera and laser radar, and the target detection result obtained is obtained using graph matching algorithm to obtain coarse perception fusion result;The attention direction of safety officer is detected using eyeball tracking algorithm, and the original point cloud data in the region of the attention direction is finely detected to obtain secondary perception result;The obtained result is fused, and finally the environment perception result based on man-machine consistency is obtained.The application introduces safety officer attention direction detection mechanism, strengthens the perception accuracy, obtains environment perception result, to improve the short-term, close-range road condition perception accuracy, ensure driving safety.

Disclosed techniques relate to using one or more of cricket match statistics, textual insights, predictions (e.g., team and player at the event level, and team at the season level), graphics, video overlays, and player and ball tracking data. Tracking data may be generated using an in-venue feed or a broadcast feed. The tracking data may be supplemented with event data which may be provided by an operator or an automated system based on the events related to a given sport within a venue or via a broadcast feed. The tracking data and / or event data may be used to generate insights such as match statistics, textual insights, predictions, graphics, video overlays, and or the like. Accordingly, the tracking data and insights generated in accordance with the subject matter disclosed herein may be specific to a given sporting event and / or the sport associated with the sporting event.

The application discloses an eyeball tracking method and device, electronic equipment and readable storage medium, and is used for improving the accuracy of eyeball positioning. The method comprises the following steps: acquiring an eyeball image in real time through a camera; determining an eyeball tracking mode according to an initial frame of the eyeball image; and performing eyeball positioning on the eyeball image based on the eyeball tracking mode to obtain eyeball position information.

Disclosed techniques relate to using one or more of rugby match statistics, textual insights, predictions (e.g., team and player at the match level, and team at the season level), graphics, video overlays, and player and ball tracking data. Tracking data may be generated using an in-venue feed or a broadcast feed. The tracking data may be supplemented with event data which may be provided by an operator or an automated system based on the events related to a given sport within a venue or via a broadcast feed. The tracking data and / or event data may be used to generate insights such as match statistics, textual insights, predictions, graphics, video overlays, and or the like. Accordingly, the tracking data and insights generated in accordance with the subject matter disclosed herein may be specific to a given sporting event and / or the sport associated with the sporting event.

Disclosed techniques relate to using one or more of golf match statistics, textual insights, predictions (e.g., team and player at the event level, and team at the season level), graphics, video overlays, and player and ball tracking data. Tracking data may be generated using an in-venue feed or a broadcast feed. The tracking data may be supplemented with event data which may be provided by an operator or an automated system based on the events related to a given sport within a venue or via a broadcast feed. The tracking data and / or event data may be used to generate insights such as match statistics, textual insights, predictions, graphics, video overlays, and or the like. Accordingly, the tracking data and insights generated in accordance with the subject matter disclosed herein may be specific to a given sporting event and / or the sport associated with the sporting event.

The application discloses a kind of dual-channel automatic selection identification face recognition system, it is related to face recognition field, including image acquisition processing module, face recognition module and output module, core in in that through obstruction detection unit intelligent analysis face stain or obstruction degree, and accordingly automatic switching identification channel: when obstruction is lighter, using the first identification channel based on face feature comparison, when obstruction is serious, then enable the second identification channel based on interactive eyeball tracking identification, in second channel, system guides user to gaze and follow dynamic movement on screen identification object, by high-precision comparison preset trajectory and actual eyeball movement trajectory, and fusion unobstructed face local feature, iris texture and other biological characteristics carry out multimodal judgment and realize identity recognition, effectively solve the problem of recognition failure caused by face obstruction under complex environment, by innovative active eyeball tracking provide very strong living body anti-counterfeiting ability, significantly improve the recognition rate of system.

Disclosed techniques relate to using one or more of baseball match statistics, textual insights, predictions (e.g., team and player at the match level, and team at the season level), graphics, video overlays, and player and ball tracking data. Tracking data may be generated using an in-venue feed or a broadcast feed. The tracking data may be supplemented with event data which may be provided by an operator or an automated system based on the events related to a given sport within a venue or via a broadcast feed. The tracking data and / or event data may be used to generate insights such as match statistics, textual insights, predictions, graphics, video overlays, and or the like. Accordingly, the tracking data and insights generated in accordance with the subject matter disclosed herein may be specific to a given sporting event and / or the sport associated with the sporting event.

The invention discloses an augmented reality scanning method based on AR glasses, the AR glasses and a scanning system. The method comprises the steps that a wearer drives AR glasses to collect three-dimensional data in a target space, and a virtual three-dimensional scene corresponding to the target space is constructed according to the three-dimensional data; performing grid region division on the virtual three-dimensional scene to mark a complete region and a non-complete region; in response to the situation that the two hands of the wearer face the local space in the target space and are located in front of the AR glasses, identifying the distance between the left hand and the right hand of the wearer through the AR glasses to determine a target area in the local space; automatically detecting a watching object of the wearer through an eyeball tracking module, wherein the watching object is located in the target area; and scanning and reinforcing the target area of the local space for multiple times through a scanning module so as to update the virtual three-dimensional scene and generate a digital twin model. The problems that a traditional scanning system is tedious in modeling process and low in efficiency, and obtained space three-dimensional details are still not complete enough are solved.

Disclosed techniques relate to using one or more of football match statistics, textual insights, predictions (e.g., team and player at the match level, and team at the season level), graphics, video overlays, and player and ball tracking data. Tracking data may be generated using an in-venue feed or a broadcast feed. The tracking data may be supplemented with event data which may be provided by an operator or an automated system based on the events related to a given sport within a venue or via a broadcast feed. The tracking data and / or event data may be used to generate insights such as match statistics, textual insights, predictions, graphics, video overlays, and or the like. Accordingly, the tracking data and insights generated in accordance with the subject matter disclosed herein may be specific to a given sporting event and / or the sport associated with the sporting event.

The application discloses an object motion estimation and tracking method and device based on adaptive Kalman filtering, first, kinematics analysis is carried out based on the wind resistance, rotation and Magnus effect of a flying ball, and a motion equation of the flying ball is accurately established; then, an adaptive Kalman filtering algorithm is designed to solve the motion equation, that is, convolution features are extracted through an FCOS algorithm, a flying ball dynamic tracking is realized based on a KCF tracker, a target three-dimensional pose is reconstructed through a camera projection model and input into an adaptive Kalman filter, the flying ball motion equation is solved, and the robustness to measurement noise and modeling error is improved; finally, aiming at the problem of autonomous field of view loss, a PWC-Net dense optical flow method is designed to realize autonomous field of view dynamic maintenance, support fast and accurate self-perception motion estimation and tracking of the flying ball, and effectively overcome the loss rate and hysteresis of the flying ball tracking.

The invention belongs to the technical field of VR glasses processing, and particularly relates to a VR eyeball tracking assembly machine which comprises a conveying rail, and a material pushing frame and a material returning frame are arranged on the conveying rail; the placing part comprises a bottom plate, a storage basket and guide grooves are arranged on the bottom plate, a gear c is arranged in one group of guide grooves, and the gear c is connected with the storage basket; the VR glasses are placed in the storage basket; the regulation and control part comprises a workbench, the workbench is arranged on the rear side of the conveying rail, a guide ring is arranged on the workbench, a rack is fixedly connected to the guide ring, a driving ring is arranged on the workbench, and the driving ring is connected with the bottom plate; the machining part is arranged on the rear side of the upper end of the workbench; the detection part is arranged on the right side of the upper end of the workbench. According to the VR glasses assembling device, automatic feeding and discharging during VR glasses assembling can be achieved, the glasses can be automatically straightened in the VR glasses feeding process, meanwhile, multi-station operation can be conducted, and the VR glasses assembling efficiency is improved.

Disclosed techniques relate to using one or more of golf match statistics, textual insights, predictions (e.g., team and player at the event level, and team at the season level), graphics, video overlays, and player and ball tracking data. Tracking data may be generated using an in-venue feed or a broadcast feed. The tracking data may be supplemented with event data which may be provided by an operator or an automated system based on the events related to a given sport within a venue or via a broadcast feed. The tracking data and / or event data may be used to generate insights such as match statistics, textual insights, predictions, graphics, video overlays, and or the like. Accordingly, the tracking data and insights generated in accordance with the subject matter disclosed herein may be specific to a given sporting event and / or the sport associated with the sporting event.