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Extraction of human limb regions and parameter estimation based on curl of optical flow
https://hiroshima.repo.nii.ac.jp/records/2001033
https://hiroshima.repo.nii.ac.jp/records/2001033ae710dbb-63c3-4788-9292-3e8619f0c0f5
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
accv2000.pdf (1.1 MB)
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| Item type | デフォルトアイテムタイプ_（フル）(1) | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 公開日 | 2023-03-18 | |||||||||||
| タイトル | ||||||||||||
| タイトル | Extraction of human limb regions and parameter estimation based on curl of optical flow | |||||||||||
| 言語 | en | |||||||||||
| 作成者 |
Tamaki, Toru
× Tamaki, Toru
× Yamamura, Tsuyoshi
× Ohnishi, Noboru
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| アクセス権 | ||||||||||||
| アクセス権 | open access | |||||||||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||||||
| 権利情報 | ||||||||||||
| 権利情報 | Copyright (c) 2000 Chinese Image Processing and Pattern Recognition Society | |||||||||||
| 主題 | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | curl | |||||||||||
| 主題 | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | optional flow | |||||||||||
| 主題 | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | pose estimation | |||||||||||
| 主題 | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | motion segmentation | |||||||||||
| 主題 | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | EM algorithm | |||||||||||
| 主題 | ||||||||||||
| 主題Scheme | NDC | |||||||||||
| 主題 | 540 | |||||||||||
| 内容記述 | ||||||||||||
| 内容記述 | We propose a method for extracting a rotating limb region and estimating its motion parameters, which is based on the curl of optional flow. Regarding the optional flow as a vector field, the proposed method computes the curl of the optical flow to extract a rotating region. The method assumes that one angular velocity varies in a short time period. By using the EM algorithm, the center of rotation along with rotation angles for each frame is estimated, and simultaneously the rotating region is segmented. Since the proposed method doesn't require a simplicity of background, and can discriminate translational movements produced by other moving objects in the background, it is applicable to a practical situation in which conventional methods doesn't work well. Experimental results with real image sequences demonstrate that the limb extraction can be performed well from noisy optional flow which are obtained from real images. | |||||||||||
| 言語 | en | |||||||||||
| 出版者 | ||||||||||||
| 出版者 | Chinese Image Processing and Pattern Recognition Society | |||||||||||
| 言語 | ||||||||||||
| 言語 | eng | |||||||||||
| 資源タイプ | ||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||||||||
| 資源タイプ | conference paper | |||||||||||
| 出版タイプ | ||||||||||||
| 出版タイプ | AO | |||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_b1a7d7d4d402bcce | |||||||||||
| 開始ページ | ||||||||||||
| 開始ページ | 1008 | |||||||||||
| 書誌情報 |
Proceedings of the Fouth Asian Conference on Computer Vision : ACCV 2000 Proceedings of the Fouth Asian Conference on Computer Vision : ACCV 2000 巻 2, p. 1008-1013, 発行日 2000-01 |
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| 旧ID | 23148 | |||||||||||
