| Automatic Video Segmentation Algorithm by Background Model and Color Clustering |
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| 引用本文： | 沙芸,王军,刘玉树. Automatic Video Segmentation Algorithm by Background Model and Color Clustering[J]. 北京理工大学学报(英文版), 2003, 0(Z1) |
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| 作者姓名： | 沙芸 王军 刘玉树 |
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| 作者单位： | Department of Computer Science and Engineering，School of Information Science and Technology，Beijing Institute Technology，Beijing 100081，China，Department of Computer Science and Engineering，School of Information Science and Technology，Beijing Institute Technology，Beijing 100081，China，Department of Computer Science and Engineering，School of Information Science and Technology，Beijing Institute Technology，Beijing 100081，China |
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| 基金项目： | the Ministerial Level Advanced Research Foundation(10405033) |
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| 摘 要： | In order to detect the object in video efficiently, an automatic and real time video segmentation algorithmbased on background model and color clustering is proposed. This algorithm consists of four phases:backgroundrestoration, moving objects extract,moving objects region clustering and post processing. The threshold of thebackground restoration is not given in advanced. It can be gotten automatically.And a new object region cluster
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Automatic Video Segmentation Algorithm by BackgroundModel and Color Clustering |
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| SHA Yun WANG Jun LIU Yu-shu. Automatic Video Segmentation Algorithm by BackgroundModel and Color Clustering[J]. Journal of Beijing Institute of Technology, 2003, 0(Z1) |
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| Authors: | SHA Yun WANG Jun LIU Yu-shu |
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| Abstract: | In order to detect the object in video efficiently, an automatic and real time video segmentation algorithm based on background model and color clustering is proposed. This algorithm consists of four phases: background restoration, moving objects extract, moving objects region clustering and post processing. The threshold of the background restoration is not given in advanced. It can be gotten automatically. And a new object region cluster algorithm based on background model and color clustering to remove significance noise is proposed. An efficient method of eliminating shadow is also used. This approach was compared with other methods on pixel error ratio. The experiment result indicates the algorithm is correct and efficient. |
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| Keywords: | video segmentation background restoration object region cluster |
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