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Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02457-5
Abstract: Recently, with the development of deep-learning, the performance of multi-object tracking algorithms based on deep neural networks has been greatly improved. However, most methods separate different functional modules into multiple networks and train them independently…
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Keywords:
online multi;
object tracking;
appearance features;
multi object ... See more keywords
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Published in 2019 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2019.2940922
Abstract: Multi-object tracking (MOT) has wide applications in the fields of video analysis and signal processing. A major challenge in MOT is how to associate the noisy detections into long and continuous trajectories. In this letter,…
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Keywords:
tracklet appearance;
aggregate tracklet;
appearance features;
object tracking ... See more keywords