Outlier Removal for Motion Tracking by Subspace Separation
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概要
- 論文の詳細を見る
Many feature tracking algorithms have been proposed for motion segmentation, but the resulting trajectories are not necessarily correct. In this paper, we propose a technique for removing outliers based on the knowledge that correct trajectories are constrained to be in a subspace of their domain. We first fit an appropriate subspace to the detected trajectories using RANSAC and then remove outliers by considering the error behavior of actual video tracking. Using real video sequences, we demonstrate that our method can be applied if multiple motions exist in the scene. We also confirm that the separation accuracy is indeed improved by our method.
- 社団法人電子情報通信学会の論文
- 2003-06-01
著者
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KANATANI Kenichi
Department of Computer Science, Okayama University
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Sugaya Y
Okayama Univ. Okayama-shi Jpn
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Sugaya Yasuyuki
Department Of Computer Science And Engineering Toyohashi University Of Technology
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Kanatani Kenichi
Department Of Computer Science Gunma University
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Kanatani Kenichi
Department Of Information Technology Okayama University
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