Explaining away results in more robust visual tracking

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Tác giả chính: Bo, Gao, Michael W., Spratling
Định dạng: Sách
Ngôn ngữ:English
Nhà xuất bản: Springer 2023
Chủ đề:
Truy cập trực tuyến:https://link.springer.com/article/10.1007/s00371-022-02466-6
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8284
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spelling 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
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic Explaining away
spellingShingle Explaining away
Bo, Gao
Michael W., Spratling
Explaining away results in more robust visual tracking
description cc by
format Book
author Bo, Gao
Michael W., Spratling
author_facet Bo, Gao
Michael W., Spratling
author_sort Bo, Gao
title Explaining away results in more robust visual tracking
title_short Explaining away results in more robust visual tracking
title_full Explaining away results in more robust visual tracking
title_fullStr Explaining away results in more robust visual tracking
title_full_unstemmed Explaining away results in more robust visual tracking
title_sort explaining away results in more robust visual tracking
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s00371-022-02466-6
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8284
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