US 11,967,086 B2
Player trajectory generation via multiple camera player tracking
Yikai Fang, Beijing (CN); Qiang Li, Beijing (CN); Wenlong Li, Beijing (CN); Chenning Liu, Beijing (CN); Chen Ling, Beijing (CN); Hongzhi Tao, Beijing (CN); Yumeng Wang, Beijing (CN); and Hang Zheng, Beijing (CN)
Assigned to INTEL CORPORATION, Santa Clara, CA (US)
Appl. No. 17/435,923
Filed by Intel Corporation, Santa Clara, CA (US)
PCT Filed Jul. 31, 2019, PCT No. PCT/CN2019/098508
§ 371(c)(1), (2) Date Sep. 2, 2021,
PCT Pub. No. WO2021/016901, PCT Pub. Date Feb. 4, 2021.
Prior Publication US 2022/0198684 A1, Jun. 23, 2022
Int. Cl. G06T 7/292 (2017.01); A63F 13/213 (2014.01); A63F 13/42 (2014.01); A63F 13/65 (2014.01); G06T 7/246 (2017.01); G06T 7/70 (2017.01); G06T 15/20 (2011.01); G06V 10/82 (2022.01); G06V 20/40 (2022.01); G06V 40/10 (2022.01)
CPC G06T 7/246 (2017.01) [A63F 13/213 (2014.09); A63F 13/42 (2014.09); A63F 13/65 (2014.09); G06T 7/292 (2017.01); G06T 7/70 (2017.01); G06T 15/20 (2013.01); G06V 10/82 (2022.01); G06V 20/42 (2022.01); G06V 40/10 (2022.01); A63F 2300/8082 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30221 (2013.01)] 25 Claims
OG exemplary drawing
 
1. A method for trajectory generation based on player tracking, comprising:
determining a spatial association for a player in a captured field of view;
determining a temporal association for the player in the captured field of view;
deriving a global player identification (ID) based on the temporal association and the spatial association, the global player ID associated with a jersey number of the player; and
generating a trajectory based on the global player ID.