Motion-Based Boundary Tracking of Moving Object Using Parametric Active Contour Model(Image Recognition, Computer Vision)

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概要

• 論文の詳細を見る

• This paper presents a motion-based boundary tracking method for a moving deformable object in an image sequence using a parametric active contour model. Deciding the local converging directions of the contour points is essential for correctly extracting the boundary of a moving deformable object. Thus, a new energy function for a parametric active contour model is proposed based on the addition of a directional energy term using a frame difference map to the greedy snake. The frame difference map is used to obtain motion information on an object with fast and non-rigid motion. Plus, updating rules for the frame difference map are also developed to encourage the stable convergence of the contour points. Experiments on a set of synthetic and real image sequences show that the proposed method could fully track a speedy deformable object while exactly extracting the boundary of the object in every frame.

• 社団法人電子情報通信学会の論文
• 2007-01-01

著者

• Lee Boo

  Agency For Defense Development

• CHOI Il

  Research Institute of 3B System Inc.

• JEON Gi

  School of Electrical Engineering and Computer Science, Kyungpook National University

• Jeon Gi

  School Of Electrical Engineering And Computer Science Kyungpook National University

関連論文

• Motion-Based Boundary Tracking of Moving Object Using Parametric Active Contour Model(Image Recognition, Computer Vision)

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