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タイトル: Automatic moving object extraction using X-means clustering
著者: Imamura, Kousuke link image link image
Kubo, Naoki
Hashimoto, Hideo
今村, 幸祐
発行日: 2010年
出版社(者): IEEE = Institute of Electrical and Electronics Engineers
雑誌名: 28th Picture Coding Symposium, PCS 2010
号: 5702477
開始ページ: 246
終了ページ: 249
キーワード: Moving object extraction
Voting method
Watershed algorithm
X-means clustering
抄録: The present paper proposes an automatic extraction technique of moving objects using x-means clustering. The proposed technique is an extended k-means clustering and can determine the optimal number of clusters based on the Bayesian Information Criterion(BIC). In the proposed method, the feature points are extracted from a current frame, and x-means clustering classifies the feature points based on their estimated affine motion parameters. A label is assigned to the segmented region, which is obtained by morphological watershed, by voting for the feature point cluster in each region. The labeling result represents the moving object extraction. Experimental results reveal that the proposed method provides extraction results with the suitable object number. © 2010 IEEE.
DOI: 10.1109/PCS.2010.5702477
URI: http://hdl.handle.net/2297/27072
資料種別: Journal Article
版表示: publisher

このアイテムを引用あるいはリンクする場合は次の識別子を使用してください。 http://hdl.handle.net/2297/27072



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