Proposal of a Player Multi-Target Tracking Algorithm applied in Teams Sport | ||||
| International Journal of Advanced Scientific Research and Innovation | ||||
| Volume 5, Issue 1, June 2022, Page 16-27 PDF (415.58 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/ijasri.2022.228570 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| MLOUHI Yosra1; LAKHOUA Mohamed Najeh2; JABRI Imed1; BATTIKH Tahar1 | ||||
| 1Research Laboratory Information and Communication Technologies & Electrical Engineering, LATICE, National Superior School of Engineering, University of Tunis, Tunisia Research Laboratory Smart Electricity & ICT, SEICT | ||||
| 2National Engineering School of Carthage, University of Carthage, Tunisia | ||||
| Abstract | ||||
| Nowaday, Database in economic and industrial area are increasing at a very high speed and are regularly growing and creating a strong interest in automated summarization and semantic indexing of video content in diverse areas notably in teams sport. The aim of this paper is to proposed the Player Multi-Target Tracking Algorithm (PMTTA) that forms a recursive estimator of the complete formations including all player positions and this estimation is advanced to the time of the current measurement scan by predicting the locations according to a particular motion model. | ||||
| Keywords | ||||
| Multi-target tracking, Real-time Tracking Solution; Position-based Identification | ||||
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