Filtering and Smoothing for Motion Trajectory of Feature Point Using Non-Gaussian State Space Model

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概要

• 論文の詳細を見る

• Filtering and smoothing using a non-Gaussian state space model are proposed for motion trajectory of feature point in image sequence. A heavy-tailed non-Gaussian distribution is used for measurement noise to reduce the effect of outliers in motion trajectory. Experimental results are presented to show the usefulness of the proposed method.

• 一般社団法人電子情報通信学会の論文
• 2001-06-01

著者

• Ikoma Norikazu

  The Kyushu Institute Of Technology

• Ichimura N

  The National Institute Of Advanced Industrial Science And Technology(aist)

• ICHIMURA Naoyuki

  The National Institute of Advanced Industrial Science and Technology(AIST)

関連論文

• Filtering and Smoothing for Motion Trajectory of Feature Point Using Non-Gaussian State Space Model

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