It tracks vehicles by fitting the models to the vehicle boundaries. However, the ambiguity in determining vehicle boundary will cause the tracking accuracy ...
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Apr 15, 2022 · While data association can cover information about identification, location and trajectory, this study focuses on associating objects trajectory ...
Downloadable! For the widely demanding of adaptive multiple moving objects tracking in intelligent transportation field, a new type of traffic video based ...
Dec 18, 2021 · The areas include computer vision, computer science and visual multi-object tracking for vehicles and pedestrians in a traffic surveillance ...
Mar 12, 2024 · Multi-object tracking (MOT) consists in detecting all objects of interest, such as cars or pedestrians, and assigning them a unique identity ...
Mar 14, 2024 · Abstract. We propose a novel Transformer-based module to address the data asso- ciation problem for multi-object tracking.
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This paper proposes an efficient and unified data association method that utilizes a deep feature association network (deepFAN) to learn the associations.
Data association is a key step within the multi-object tracking pipeline that is notoriously challenging due to its combinatorial nature.
Data association is a key step within the multi-object tracking pipeline that is notoriously challenging due to its combinatorial nature.
Grid-based approaches discretize the environment into grid cells, which implicitly solves the data association between measurement data and the filtered state ...