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Abstract: Conditioned on measurement data from sensors, the joint probabilistic data association (JPDA) filter is a popular methodology for tracking multiple objects in clutter. The JPDA filter, ...
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TL; DR. We propose a novel perspective to regard the multiple object tracking task as an in-context ID prediction problem. Given a set of trajectories carried with ID information, MOTIP directly ...
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In recent years, surveillance camera systems have been widely used on roads due to the demands for home security and crime prevention. Since most surveillance systems are currently based on ...
Abstract: Tracking multiple tiny objects is highly challenging due to their weak appearance and limited features. Existing multi-object tracking algorithms generally focus on single-modality scenes, ...