Background-foreground segmentation based on dominant motion estimation and static segmentation

Yixing Huang, Dietrich Paulus, H. Niemann · IWISPA 2000. Proceedings of the First International Workshop on Image and Signal Processing and Analysis. in conjunction with 22nd International Conference on Information Technology Interfaces. (IEEE · 2000

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Type: article
Published: 2000-06-14
Cited by: 5
References: 4
Access: Open access
DOI: https://doi.org/10.1109/ispa.2000.914893
OpenAlex: https://openalex.org/W1888872700
Semantic Scholar: https://api.semanticscholar.org/CorpusID:573845

Keywords

Artificial intelligence, Computer vision, Segmentation, Computer science, Motion (physics)

References

The Robust Estimation of Multiple Motions: Parametric and Piecewise-Smooth Flow FieldsMichael J. Black, P. Anandan — 1996
Compact Representations of Videos Through Dominant and Multiple Motion EstimationHarpreet Sawhney, Steven K. Ayer — 1996
Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion SimulationsLuc Vincent, Pierre Soille — 1991
Representing moving images with layersJ.Y.A. Wang, Edward H. Adelson — 1994

Cited by

Improved Cut-Based Foreground IdentificationSharat Chandran, Satwik Hebbar, Vishal Mamania — 2004
Fast and Efficient Extraction of Moving ObjectsMohammad Reza Javan, Seyed Mahdi Bouzari, Ahmad Salahi — 2007
Fast stereo with background removal using phase correlationSutono Effendi, R.A. Jarvis, David Suter — 2008
A fast object detection algorithm using motion-based region-of-interest determinationA. Anbu, Gaurav Agarwal, Gargi Srivastava — 2002
Joint occlusion boundary detection and figure/ground assignment by extracting common-fate fragments in a back-projection schemeCheng Chen, Jason J. Corso — 2017

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