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A Novel Method for Suppressing Shadow and Judging ...
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由 X Guishan 著作2009被引用 1 次 — For outdoor visual surveillance scenes, a novel method based on projection histogram is proposed to suppress shadow and judge pose of human.
A Novel Method for Suppressing Shadow and Judging Pose ...
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Guishan Xiang, Zhijie Lin: A Novel Method for Suppressing Shadow and Judging Pose Based on Projection Histogram. CSIE (6) 2009: 610-614.
Guishan Xiang
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Guishan Xiang, Zhijie Lin: A Novel Method for Suppressing Shadow and Judging Pose Based on Projection Histogram. CSIE (6) 2009: 610-614.
Guishan Xiang
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A Novel Method for Suppressing Shadow and Judging Pose Based on Projection Histogram. Guishan Xiang. ,. Zhijie Lin. Proceedings of the CSIE 2009, 2009 WRI ...
Human re-identification in multi-camera systems | Request PDF
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For outdoor visual surveillance scenes, a novel method based on projection histogram is proposed to suppress shadow and judge pose of human. Foreground regions ...
Zhijie Lin - Zhejiang University of Science and Technology
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A Novel Method for Suppressing Shadow and Judging Pose Based on Projection Histogram · Guishan Xiang,Zhijie Lin. Computer Science and Information Engineering ...
Track: Poster Session 4 & Exhibit Hall
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2024年6月20日 — Towards these issues, we propose a hybrid learning method based on pose-aware HOI feature refinement. Specifically, we devise pose-aware ...
Background reconstruction and object extraction based on color ...
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A Novel Method for Suppressing Shadow and Judging Pose Based on Projection Histogram. Conference Paper. Jan 2009. Guishan Xiang · Zhijie Lin. For outdoor visual ...
IROS 2024 Program | Thursday October 17, 2024
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2024年10月21日 — This study proposes a novel method for determining the optimal base pose based ... Abstract: This paper presents a novel optimization-based full- ...
A Survey on Image and Video Shadow Detection, Removal ...
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由 X Hu 著作2024被引用 3 次 — Our survey delves into various aspects of shadow analysis, covering tasks, deep models, datasets, evaluation metrics, and result comparisons. We ...