Automated offside detection and visualization for sports
The present invention includes systems and methods for automated detection and visualization of offside positions. In soccer, offside is determined by the position of a player relative to the position of players on the opposing team and/or the soccer ball. The present invention provides systems and methods for tracking the location of players on a soccer field and for determining whether a player is in an offside position. The present invention further includes an imaging system for tracking the location of a boundary object that determines where offside positions begin. The system is then operable to enhance image and video data using the data collected during detection of offside positions.
1. A system for automated offside detection, comprising:
at least one processor in communication with at least one image sensor attached to a chassis, wherein the chassis is configured to move parallel relative to a sideline of a play field;
at least one tracking sensor worn by or attached to at least one player and/or a ball;
wherein the at least one tracking sensor generates location data for the at least one player and/or the ball and transmits the location data to the at least one processor;
wherein the at least one image sensor automatically moves based on the location data such that the at least one image sensor is substantially in line with a first player or with the ball and aimed at approximately a 90 degree angle relative to the sideline;
wherein the at least one image sensor is operable to generate relative position data, including a location of the first player or the ball relative to a second player; and
wherein the at least one processor is operable to generate an alert indicating the second player is offsides based on the relative position data and/or the location data.
2. The system of claim 1 , wherein the at least one image sensor includes at least one camera, at least one video camera, at least one camcorder, at least one slow-motion video camera, at least one LIDAR sensor, and/or at least one high-speed video camera.
3. The system of claim 1 , wherein the at least one tracking sensor transmits team data to the at least one processor, wherein the team data designates which team the at least one player is associated with.
4. The system of claim 1 , wherein the at least one tracking sensor includes at least one radiofrequency identification (RFID) sensor and/or at least one global positioning system (GPS) sensor.
5. The system of claim 1 , wherein the at least one image sensor automatically switches which player or ball the at least one image sensor moves to follow based on the location data.
6. The system of claim 1 , wherein the position of the at least one image sensor defines a boundary substantially orthogonal to the sideline of the play field, and wherein the alert is generated when one or more players associated with a specific team across the boundary.
7. The system of claim 1 , wherein the chassis is attached to a rail substantially parallel to the sideline and wherein the chassis is operable to move along the rail.
8. The system of claim 1 , wherein the at least one processor generates a digital boundary overlay on at least one video broadcast, wherein the digital boundary overlay is generated in real-time, and wherein the position of the digital boundary overlay is based on a position of the at least one image sensor, the location data, and/or the relative position data.
9. A method for automated offside detection, comprising:
providing at least one processor in communication with at least one image sensor attached to a chassis;
the chassis being configured to move parallel relative to a sideline of a play field;
providing at least one tracking sensor worn by or attached to at least one player and/or a ball;
the at least one tracking sensor generating location data for the at least one player and/or the ball and transmitting the location data to the at least one processor;
the at least one image sensor automatically moving based on the location data such that the at least one image sensor is substantially in line with a first player or with the ball and is aimed at approximately a 90 degree angle relative to the sideline;
the at least one image sensor generating relative position data, including a location of the first player or the ball relative to a second player; and
the at least one processor generating an alert indicating the second player is offsides based on the relative position data and/or the location data.
10. The method of claim 9 , wherein the at least one image sensor includes at least one camera, at least one video camera, at least one camcorder, at least one slow-motion video camera, at least one LIDAR sensor, and/or at least one high-speed video camera.
11. The method of claim 9 , further comprising the at least one tracking sensor transmitting team data to the at least one processor, wherein the team data designates which team the at least one player is associated with.
12. The method of claim 9 , wherein the at least one tracking sensor includes at least one radiofrequency identification (RFID) sensor and/or at least one global positioning system (GPS) sensor.
13. The method of claim 9 , further comprising the at least one image sensor automatically switching which player or ball the at least one image sensor moves to follow based on the location data.
14. The method of claim 9 , further comprising the position of the at least one image sensor defining a boundary substantially orthogonal to the sideline of the play field, and the at least one processor generating the alert when one or more players associated with a specific team across the boundary.
15. The method of claim 9 , wherein the chassis is attached to a rail substantially parallel to the sideline and wherein the chassis is operable to move along the rail.
16. The method of claim 9 , further comprising the at least one processor generating a digital boundary overlay on at least one video broadcast in real-time, wherein the position of the digital boundary overlay is based on a position of the at least one image sensor, the location data, and/or the relative position data.
17. A system for automated offside detection, comprising:
at least one processor in communication with at least one image sensor attached to a chassis, wherein the chassis is configured to move parallel relative to a sideline of a play field;
at least one tracking sensor worn by or attached to at least one player and/or a ball;
wherein the at least one tracking sensor generates location data for the at least one player and/or the ball and transmits the location data to the at least one processor;
wherein the at least one image sensor automatically moves based on the location data such that the at least one image sensor is substantially in line with a first player or with the ball;
wherein the at least one image sensor is operable to generate relative position data, including a location of the first player or the ball relative to a second player;
wherein the at least one processor is operable to generate an alert indicating the second player is offsides based the relative position data and/or the location data; and
wherein the at least one processor generates a digital boundary overlay on at least one video broadcast, wherein the digital boundary overlay is generated in real-time, and wherein the position of the digital boundary overlay is based on a position of the at least one image sensor, the location data, and/or the relative position data.
18. The system of claim 17 , wherein the at least one image sensor includes at least one camera, at least one video camera, at least one camcorder, at least one slow-motion video camera, at least one LIDAR sensor, and/or at least one high-speed video camera.
19. The system of claim 17 , wherein the at least one tracking sensor transmits team data to the at least one processor, wherein the team data designates which team the at least one player is associated with.
20. The system of claim 17 , wherein the at least one image sensor automatically switches which player or ball the at least one image sensor moves to follow based on the location data.