Explaining away results in more robust visual tracking
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2023
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oai:localhost:PNK-82842023-04-25T07:06:02Z Explaining away results in more robust visual tracking Bo, Gao Michael W., Spratling Explaining away cc by Many current trackers utilise an appearance model to localise the target object in each frame. However, such approaches often fail when there are similar-looking distractor objects in the surrounding background, meaning that target appearance alone is insufficient for robust tracking. In contrast, humans consider the distractor objects as additional visual cues, in order to infer the position of the target. Inspired by this observation, this paper proposes a novel tracking architecture in which not only is the appearance of the tracked object, but also the appearance of the distractors detected in previous frames, taken into consideration using a form of probabilistic inference known as explaining away. 2023-04-25T07:06:02Z 2023-04-25T07:06:02Z 2022 Book https://link.springer.com/article/10.1007/s00371-022-02466-6 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8284 en application/pdf Springer |
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Explaining away |
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Explaining away Bo, Gao Michael W., Spratling Explaining away results in more robust visual tracking |
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Book |
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Bo, Gao Michael W., Spratling |
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Bo, Gao Michael W., Spratling |
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Bo, Gao |
title |
Explaining away results in more robust visual tracking |
title_short |
Explaining away results in more robust visual tracking |
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Explaining away results in more robust visual tracking |
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Explaining away results in more robust visual tracking |
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Explaining away results in more robust visual tracking |
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explaining away results in more robust visual tracking |
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Springer |
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2023 |
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https://link.springer.com/article/10.1007/s00371-022-02466-6 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8284 |
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