MDL-based segmentation and motion modeling in a long image sequenceof scene with multiple independently moving objects
Haisong Gu
Shirai, Y.
Asada, M.
Product. Eng. Res. Lab., Matsushita Electr. Ind. Co. Ltd., Kadoma;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Jan 1996
Volume: 18,
Issue: 1
On page(s): 58-64
ISSN: 0162-8828
References Cited: 11
CODEN: ITPIDJ
INSPEC Accession Number: 5179880
Digital Object Identifier: 10.1109/34.476012
Current Version Published: 2002-08-06
Abstract
This paper presents a method for spatiotemporal segmentation of
long image sequences of scenes which include multiple independently
moving objects, based on the minimum description length (MDL) principle.
First, a family of motion models is constructed, each of which
corresponds to a physically meaningful motion such as translation with
constant velocity or a combination of translation and rotation. Then,
the motion description length is formulated. When an object changes the
type of the motion or a new part of an object appears, the corresponding
temporal or spatial segmentation is carried out. Ambiguous segmentation
of two consecutive images can be resolved by minimizing the motion
description length in a long sequence of images. Experiments on several
real image sequences show the validity of our method
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