Localization for PMTTA algorithm at sport events: from concept to application

During the last decade, the digital revolution has impacted all associated fields, professions and skills, and in particular team sport. Thus, digital tools and distributed databases continue to develop and arouse strong interest in automated summarization and semantic indexing of video content. In...

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Bibliographic Details
Published in2022 IEEE Information Technologies & Smart Industrial Systems (ITSIS) pp. 1 - 6
Main Authors Yosra, Mlouhi, Lotfi, Maalej, Najeh, Lakhoua Mohamed, Imed, Jabri, Taher, Battikh
Format Conference Proceeding
LanguageEnglish
Published IEEE 15.07.2022
Subjects
Atmospheric measurements
Multi-Target Tracking
Particle measurements
Player Indexation
Position-based Identification
Prediction algorithms
Real-time Tracking Algorithm
Sports
Target tracking
Time measurement
Tracking
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Summary:During the last decade, the digital revolution has impacted all associated fields, professions and skills, and in particular team sport. Thus, digital tools and distributed databases continue to develop and arouse strong interest in automated summarization and semantic indexing of video content. In this paper we have offered a Player Multi-Target Tracking Algorithm (PMTTA) whose purpose is to examine the impact of the new requirements implemented for the indexing of video by content. This algorithm forms a recursive estimator of complete formations including all player positions. Knowing that, the estimate is advanced at the time of the current measurement sweep. Prediction of target locations is done according to a particular motion pattern.
DOI:10.1109/ITSIS56166.2022.10118407