Abstract: A multi-mode tracking method according to the present disclosure includes receiving, a sensor signal, obtaining a sensor-based location of a sports participant based on the sensor signal, obtaining a first credibility information related to a credibility of the sensor-based location, receiving a sports image captured at a camera disposed peripheral to a playfield, the sports image including the sports participant in the playfield, obtaining an image-based location of the sports participant, obtaining an second credibility information related to a credibility of the image-based location, wherein the credibility of the image-based location is related to an occlusion related to the sports participant, calculating an weight value based on the first credibility information and the second credibility information, calculating a location of the sports participant based on the weight value.

Abstract: A method of providing tactical information for team sports is disclosed. The method includes acquiring a plurality of player tracking data sets for a plurality of players, acquiring role assignment information using the plurality of player tracking data sets, determining a dominant role assignment based on the plurality of role assignments, determining at least one irregular role assignment from the plurality of role assignments in consideration of the dominant role assignment, acquiring a plurality of space information sets associated with the target period for each of the plurality of role indices based on the remaining role assignment information other than the at least one irregular role assignment and some of the player tracking data sets corresponding to the remaining role assignment information and updating the role assignment information using the plurality of space information sets.

Abstract: Disclosed are an athlete evaluation method and a system and device for performing the same. The athlete evaluation method may include acquiring location data of a plurality of participants, computing a reference location of a specific sport participant on the basis of location data of other sport participants, generating relative location data of the specific participant from the location data of the specific participant in consideration of the reference location, generating heatmap data of the specific participant on the basis of the relative location data, and computing a performance index of the specific participant.

Abstract: A multi-mode tracking method according to the present disclosure includes receiving sensor signals from a plurality of positioning sensors located on a plurality of sport participants wherein the sensor signals each include a participant identifier and location data, receiving a sport image captured from a camera located near a playfield wherein the sport image includes at least a target participant among a plurality of sport participants on the playfield, detecting an occlusion related to the target participant in the sports image, determining the severity of the occlusion on the basis of a sensor signal received from a specific positioning sensor installed on a specific sport player located in a region of interest related to the occlusion, and determining a location of the sport participant on the basis of the severity of the occlusion.

Abstract: A method for providing exercise load information of a target entity is provided. The method includes obtaining a target data set of the target entity for a target exercise session including a plurality of time units, wherein the target data set includes a sequence of kinematic information of the target entity for each of the plurality of time units; and determining, based on the target data set, an estimated load index reflecting a level of exercise load of the target entity for the target exercise session using an artificial neural network (ANN).