Combining intensity and motion for incremental segmentation and tracking over long image sequences
1992
Conference Paper
ps
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.
Author(s): | Black, M. J. |
Book Title: | Proc. Second European Conf. on Computer Vision, ECCV-92 |
Pages: | 485-493 |
Year: | 1992 |
Month: | May |
Series: | LNCS 588 |
Publisher: | Springer Verlag |
Department(s): | Perceiving Systems |
Bibtex Type: | Conference Paper (inproceedings) |
Paper Type: | Conference |
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BibTex @inproceedings{Black:ECCV:1992, title = {Combining intensity and motion for incremental segmentation and tracking over long image sequences}, author = {Black, M. J.}, booktitle = {Proc. Second European Conf. on Computer Vision, ECCV-92}, pages = {485-493}, series = {LNCS 588}, publisher = {Springer Verlag}, month = may, year = {1992}, doi = {}, month_numeric = {5} } |