Systems, methods, and computer-program products for assessing athletic ability and generating performance data
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.
1. A computer-implemented method for generating athlete performance data using computer-vision analysis and identifying athletes with desired characteristics, the method comprising:
accessing a video, the video comprising a plurality of frames depicting an athlete, each of the plurality of frames having an associated time-stamp;
identifying, using a computer-vision system, a location designator associated with the athlete in each frame of the plurality of frames;
identifying, using the computer-vision system, a location designator associated with a reference element in each frame of the plurality of frames;
identifying, using the computer-vision system, a coordinate distance between the location designator associated with the athlete and the location designator associated with the reference element in each frame of the plurality of frames;
converting, using the computer-vision system, each coordinate distance to a corresponding physical distance;
generating performance data for the athlete using the converted physical distance at each time-stamp;
updating an athlete profile associated with the athlete to include the generated performance data;
receiving at least one user-selected parameter associated with at least one desired characteristic;
selecting the athlete profile from a plurality of athlete profiles based on the at least one user-selected parameter; and
identifying the athlete profile as a best-fit match with the at least one user-selected parameter.
2. The computer-implemented method of claim 1 , wherein the generated performance data comprises a maximum speed of the athlete.
3. The computer-implemented method of claim 1 , wherein the converting of each coordinate distance to the corresponding physical distance is performed using a transformation matrix, a calibration factor, and/or a conversion factor.
4. The computer-implemented method of claim 1 , wherein the reference element comprises a game ball.
5. The computer-implemented method of claim 4 , wherein the generated performance data comprises at least a speed of the game ball.
6. The computer-implemented method of claim 4 , wherein the generated performance data comprises at least an acceleration of the game ball.
7. The computer-implemented method of claim 4 , wherein the generated performance data comprises at least a trajectory of the game ball.
8. The computer-implemented method of claim 1 , wherein the location designator associated with the athlete is a first digital bounding box and wherein the location designator associated with the reference element is a second digital bounding box.
9. The computer-implemented method of claim 1 , wherein the generated performance data comprises a maximum speed of the athlete at a particular point in time during gameplay.
10. The computer-implemented method of claim 1 , wherein the generated performance data comprises a maximum speed of the athlete along a particular distance traveled during gameplay.
11. The computer-implemented method of claim 1 , further comprising performing a data filtering process prior to generating the athlete performance data.
12. The computer-implemented method of claim 1 , further comprising displaying the generated performance data in connection with the athlete.
13. A computer-implemented method for generating athlete performance data using computer-vision analysis and identifying athletes with desired characteristics, the method comprising:
accessing a video, the video comprising a plurality of frames depicting an athlete, each of the plurality of frames having an associated time-stamp;
identifying, using a computer-vision system, a location designator associated with an athlete in each frame of the plurality of frames;
identifying, using the computer-vision system, a location designator associated with a game ball in each frame of the plurality of frames;
identifying, using the computer-vision system, a selection of frames of the plurality of frames during which the game ball is traveling to the athlete or during which the game ball is traveling from the athlete;
identifying, using the computer-vision system, a coordinate distance between the location designator associated with the athlete and the location designator associated with the game ball in each frame of the selection of the plurality of frames;
converting, using the computer-vision system, each coordinate distance to a corresponding physical distance;
generating performance data for the athlete using each converted physical distance;
updating an athlete profile associated with the athlete to include the generated performance data;
receiving at least one user-selected parameter associated with at least one desired characteristic;
selecting the athlete profile from a plurality of athlete profiles based at least in part on a comparison of the at least one user-selected parameter and the athlete profile including the generated performance data thereof; and
identifying the athlete profile as a best-fit match with the at least one user-selected parameter.
14. The computer-implemented method of claim 13 , wherein the converting is performed using a transformation matrix, a calibration factor, and/or a conversion factor.
15. The computer-implemented method of claim 13 , wherein the game ball is a football.
16. The computer-implemented method of claim 13 , wherein the game ball is a basketball.
17. The computer-implemented method of claim 13 , wherein the game ball is a baseball.
18. A computer-implemented method for generating athlete performance data using computer-vision analysis and identifying athletes with desired characteristics, the method comprising:
accessing a video, the video comprising a plurality of frames depicting an athlete, each of the plurality of frames having an associated time-stamp;
identifying, using a computer-vision system, a location designator associated with an athlete in each frame of the plurality of frames;
identifying, using the computer-vision system, a location designator associated with a reference element in each frame of the plurality of frames;
identifying, using the computer-vision system, a coordinate distance between the location designator associated with the athlete and the location designator associated with the reference element in each frame of the plurality of frames;
converting, using the computer-vision system, each coordinate distance to a corresponding physical distance;
generating performance data for the athlete using the converted physical distance at each time-stamp;
averaging the generated performance data with prior-generated athlete performance data stored in an athlete profile associated with the athlete to thereby generate averaged performance data for the athlete;
updating the athlete profile associated with the athlete to include the averaged performance data;
receiving at least one user-selected parameter associated with at least one desired characteristic;
selecting the athlete profile from a plurality of athlete profiles based at least in part on a comparison of the at least one user-selected parameter and the athlete profile including the averaged performance data thereof; and
identifying the athlete profile as a best-fit match with the at least one user-selected parameter.
19. The computer-implemented method of claim 18 , wherein the athlete comprises a first athlete, and wherein the reference element comprises a second athlete, and wherein the averaged performance data comprises at least one of average play completion rate, average separation, and/or average closing time.
20. The computer-implemented method of claim 18 , wherein the reference element comprises a game ball.