Motion Description and Segmentation of Multiple Moving Objects in a Long Image Sequence

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概要

• 論文の詳細を見る

• This paper presents a method for spatial and temporal segmentation of long image sequences which include multiple independently moving objects, based on the Minimum Description Length (MDL) principle. By obtaining an optimal motion description, we extract spatiotemporal (ST) segments in the image sequence, each of which consists of edge segments with similar motions. First, we construct a family of 2D motion models, each of which is completely determined by its specified set of equations. Then, based on these sets of equations we formulate the motion description length in a long sequence. The motion state of one object at one moment is determined by finding the model with shortest description length. Temporal segmentation is carried out when the motion state is found to have changed. At the same time, the spatial segmentation is globally optimized in such a way that the motion description of the entire scene reaches a minimum.

• 社団法人電子情報通信学会の論文
• 1995-03-25

著者

• Shirai Yoshiaki

  Faculty Of Engineering Osaka University

• Asada Minoru

  Faculty Of Engineering Osaka University

• Gu Haisong

  Institute of Scientific and Industrial Research, Osaka University

• Gu Haisong

  Institute Of Scientific And Industrial Research Osaka University

関連論文

• Robust Visual Tracking by Integrating Various Cues (Special Issue on Multisensor Fusion and Intergration)
• Scene Interpretation with Default Parameter Models and Qualitative Constraints
• Segmentation Based on Accumulative Observation of Apparent Motion in Long Image Sequences
• Detecting Multiple Rigid Image Motions from an Optical Flow Field Obtained with Multi-Scale, Multi-Orientation Filters
• Integration of Color and Range Data for Three-Dimensional Scene Description (Special Issue on Image Processing and Understanding)
• Motion Description and Segmentation of Multiple Moving Objects in a Long Image Sequence

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