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4. Unsupervised Auto-Encoding Multiple-Object Tracker For Constraint-Consistent Combinatorial Problem

Unsupervised Auto-Encoding Multiple-Object Tracker For Constraint-Consistent Combinatorial Problem

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IEEE ICASSP 2020 Virtual Conference May 2020

Multiple-object tracking (MOT) and classification are core technologies for processing moving point clouds in radar or lidar applications. For accurate object classification, the one-to-one association relationship between the model of each objects' motio

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Unsupervised Auto-Encoding Multiple-Object Tracker For Constraint-Consistent Combinatorial Problem

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Multiple-object tracking (MOT) and classification are core technologies for processing moving point clouds in radar or lidar applications. For accurate object classification, the one-to-one association relationship between the model of each objects' motio