@inproceedings{60fe822d4f5e4149b2bc5f6db59a55a2,
title = "Segmentation via annealed motion estimates",
abstract = "A segmentation and motion estimation are two problems that require accurate estimation for many applications in computer vision and image analysis. In this paper, an algorithm that is based on motion information and restored spatial information to segment the scene is presented. This algorithm has minimum dependency on noisy data and the motion vectors are estimated using a deterministic mean field annealing (MFA) framework. The algorithms results are very good using synthetic and real world sequences.",
author = "Ikhlas Abdel-Qader and Tomislav Bujanovic",
year = "2004",
doi = "10.1109/EIT.2004.4569396",
language = "English (US)",
isbn = "9780780387508",
series = "2004 IEEE Electro/Information Technology Conference, EIT 2004",
publisher = "IEEE Computer Society",
pages = "297--301",
booktitle = "2009 IEEE MTT-S International Microwave Workshop Series on Signal Integrity and High-Speed Interconnects, IMWS 2009",
address = "United States",
note = "2004 IEEE Electro/Information Technology Conference, EIT 2004 ; Conference date: 26-08-2004 Through 27-08-2004",
}