Moving Object Detection Based on Clausius Entropy

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概要

• 論文の詳細を見る

• This paper proposes a novel image segmentation method based on Clausius entropy and adaptive Gaussian mixture model for detecting moving objects in a complex environment. The results suggest that the proposed method performs better than existing methods in extracting the foreground in various video sequences composed of multiple objects, lighting reflections, and background clutter.

• The Institute of Electronics, Information and Communication Engineersの論文

著者

• PARK Jonghyun

  Mokpo National University

• PARK Soonyoung

  Mokpo National University

• CHO Wanhyun

  Chonnam National University

• LEE Gueesang

  Chonnam National University

関連論文

• Medical Image Segmentation Using Level Set Method with a New Hybrid Speed Function Based on Boundary and Region Segmentation
• Moving Object Detection Based on Clausius Entropy
• Medical Image Segmentation Using Level Set Method with a New Hybrid Speed Function Based on Boundary and Region Segmentation

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