Determining x,y,z,t biomechanics of moving actor with multiple cameras
US-2020334838-A1 · Oct 22, 2020 · US
US11694347B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11694347-B2 |
| Application number | US-202217752421-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 24, 2022 |
| Priority date | Apr 15, 2015 |
| Publication date | Jul 4, 2023 |
| Grant date | Jul 4, 2023 |
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A plurality of tracking cameras is pointed towards a routine hovering area of an in-the-field sports participant who routinely hovers about that area. Spots within the hovering area are registered relative to a predetermined multi-dimensional coordinates reference frame (e.g., Xw, Yw, Zw, Tw) such that two-dimensional coordinates of 2D images captured by the tracking cameras can be converted to multi-dimensional coordinates of the reference frame. A body part recognizing unit recognizes 2D locations of a specific body part in the 2D captured images and a mapping unit maps them into the multi-dimensional coordinates of the reference frame. A multi-dimensional curve generator then generates a multi-dimensional motion curve describing motion of the body part based on the mapped coordinates (e.g., Xw, Yw, Zw, Tw). The generated multi-dimensional motion curve is used to discover cross correlations between play action motions of the in-the-field sports participant and real-world sports results.
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The invention claimed is: 1. A system for determining performance attributes comprising: at least one processor configured for network communication with at least one server computer and/or at least one local computing device; wherein the at least one processor is operable to: receive images; develop a motion curve; identify frames and/or scan lines from the images associated with spatial points on the motion curve; and display the frames and/or the scan lines on the at least one server computer and/or the at least one local computing device. 2. The system of claim 1 , wherein the at least one processor is operable to develop the motion curve using respective temporal segment lengths from the images. 3. The system of claim 1 , wherein the at least one processor is operable to intertwine and temporally dispose the images along a common timing reference and discard temporally adjacent images. 4. The system of claim 1 , wherein the at least one server computer and/or the at least one local computing device is operable to display frames corresponding to an identified spatial point on the motion curve. 5. The system of claim 1 , wherein a 3D position is determined by merging the images using a least squares or other error reduction technique. 6. The system of claim 1 , wherein 3D coordinates of pre-registered references spots are known, and wherein when a pre-registered reference spot is captured in an image, coordinates of the image are automatically converted to the 3D coordinates. 7. The system of claim 1 , wherein a database stores in-the-field biometric attributes including a heart rate, a breathing rate, a perspiration level, a blood pressure, a galvanic skin response, a topical temperature, and/or cranial electrical activity of a sports participant recorded at the same time as a play action activity. 8. The system of claim 1 , wherein the motion curve is a multi-dimensional motion curve. 9. A system for determining performance attributes comprising: at least one processor configured for network communication with at least one server computer and/or at least one local computing device; wherein the at least one processor is operable to: receive images; and develop a multi-dimensional (mD) motion curve. 10. The system of claim 9 , wherein inconsistencies between the images are resolved based on biomechanical rules of nature or physical rules of nature. 11. The system of claim 9 , wherein the at least one processor is operable to intertwine and temporally dispose the images along a common timing reference and discard temporally adjacent images. 12. The system of claim 9 , wherein the at least one processor is operable to construct a four-dimensional (4D) model based on the images. 13. The system of claim 12 , wherein the at least one processor stores cross associating points of motion relating to environmental conditions and sport event results with the 4D model in a database. 14. The system of claim 9 , wherein the at least one processor develops the mD motion curve within a mD space having at least a time (Tw) axis and three spatial and orthogonal coordinate axes (Xw, Yw, Zw). 15. The system of claim 9 , wherein a database stores data relating to a sports participant and data including sport event results, and wherein the database is operable to return data and images in response to a user query. 16. A system for determining performance attributes comprising: at least one processor configured for network communication with at least one server computer and/or at least one local computing device; wherein the at least one processor is operable to: receive images; determine a common timing reference for placing the images; and intertwine the images such that the images are approximately disposed in a temporal sense along the common timing reference. 17. The system of claim 16 , wherein the at least one processor is operable to develop a multi-dimensional (mD) motion curve. 18. The system of claim 17 , wherein the at least one processor is operable to identify frames and/or scan lines that correspond with spatial points along the mD motion curve. 19. The system of claim 17 , wherein the at least one processor is operable to fit the mD motion curve with curve fit optimization techniques relative to the images where a subset of the images is given greater weight due to closeness and/or a better point of view (POV). 20. The system of claim 16 , wherein the at least one processor is operable to automatically determine the start and/or end of a play action activity and generate a unique ID label for the play action activity.
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