implementation of multi object tracking algorithms including PMBM (Poisson Multi Bernoulli Mixture filter) in Python - GitHub - kharitonov-ivan/multi-object-tracking-in-python: implementation of multi object tracking algorithms including PMBM (Poisson Multi Bernoulli Mixture filter) in Python
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Toronto, ON (PRWEB) July 13, 2022 Arcturus Networks Inc., a leading provider of edge AI analytics and enablement today announced the results of its public
World Champion! UNISOC Tops the Tables at the MOT20 Challenge
UNISOC manhandles the ranks at this year s benchmark for Multiple Object Tracking, the MOTChallenge
SHANGHAI, Jan 25, 2021 - (ACN Newswire) - On January 19, 2021, at the internationally authoritative MOT20 Challenge (the benchmark for Multiple Object Tracking), the Multimedia Lab UNISOC algorithm outshone, exceeding 70 on the MOTA index, and wins the global championship! And its the only algorithm with more than 70 points on the MOT20 leaderboards, showing that champ UNISOC has taken the leading position in the field of multiple object tracking.
MOT Challenge, the most authoritative evaluation platform for multi-object tracking, was co-founded by Technical University of Munich, the University of Adelaide, Swiss Federal Institute of Technology Zurich and the Technical University of Darmstadt. Participants in the competition include relevant teams from the University of Oxford, Carnegie Mellon University, Tsinghua Unive