Semi-Automatic Video Object Segmentation Using LVQ with Color and Spatial Features(Image Processing and Multimedia Systems, <Special Section>Recent Advances in Circuits and Systems-Part 1)
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概要
- 論文の詳細を見る
This paper presents a semi-automatic algorithm for video object segmentation. Our algorithm assumes the use of multiple key video frames in which a semantic object of interest is defined in advance with human assistance. For video frames between every two key frames, the specified video object is tracked and segmented automatically using Learning Vector Quantization (LVQ). Each pixel of a video frame is represented by a 5-dimensional feature vector integrating spatial and color information. We introduce a parameter K to adjust the balance of spatial and color information. Experimental results demonstrate that the algorithm can segment the video object consistently with less than 2% average error when the object is moving at a moderate speed.
- 社団法人電子情報通信学会の論文
- 2005-07-01
著者
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AOKI Takafumi
Graduate School of Information Sciences, Tohoku University
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Aoki Takafumi
Tohoku Univ. Sendai‐shi Jpn
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Aoki Takafumi
Graduate School Of Information Sciences Tohoku University
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Aoki Takafumi
Department Of Computer And Mathematical Sciences Graduate School Of Information Science Tohoku Unive
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MOCHAMAD Hariadi
Graduate School of Information Sciences, Tohoku University
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LOY Hui
Graduate School of Information Sciences, Tohoku University
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Loy Hui
Graduate School Of Information Sciences Tohoku University
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Mochamad Hariadi
Graduate School Of Information Sciences Tohoku University
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