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Combining Intensity and Motion for Incremental Segmentation and Tracking Over Long Image Sequences (1992)
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| Venue: | In ECCV |
| Citations: | 44 - 3 self |
BibTeX
@INPROCEEDINGS{Black92combiningintensity,
author = {Michael J. Black},
title = {Combining Intensity and Motion for Incremental Segmentation and Tracking Over Long Image Sequences},
booktitle = {In ECCV},
year = {1992},
pages = {485--493},
publisher = {Springer-Verlag}
}
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Abstract
. This paper presents a method for incrementally segmenting images over time using both intensity and motion information. This is done by formulating a model of physically significant image resgions using local constraints on intensity and motion and then finding the optimal segmentation over time using an incremental stochastic minimization technique. The result is a robust and dynamic segmentation of the scene over a sequence of images. The approach has a number of benefits. First, discontinuities are extracted and tracked simultaneously. Second, a segmentation is always available and it improves over time. Finally, by combining motion and intensity, the structural properties of discontinuities can be recovered; that is, discontinuities can be classified as surface markings or actual surface boundaries. 1 Introduction Our goal is to efficiently and dynamically build useful and perspicuous descriptions of the visible world over a sequence of images. In the case of a moving...
Keyphrases
incremental segmentation tracking long image sequence optimal segmentation structural property incremental stochastic minimization technique surface marking dynamic segmentation local constraint actual surface boundary perspicuous description visible world significant image resgions motion information
