Đang chuẩn bị nút TẢI XUỐNG, xin hãy chờ
Tải xuống
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài:An Integrated Dynamic Scene Algorithm for Segmentation and Motion Estimation | EURASIP Journal on Applied Signal Processing 2005 12 1845-1853 2005 Hindawi Publishing Corporation An Integrated Dynamic Scene Algorithm for Segmentation and Motion Estimation Ikhlas Abdel-Qader Electrical and Computer Engineering Department College of Engineering and Applied Sciences Western Michigan University Kalamazoo MI 49008-5314 USA Email abdelqader@wmich.edu Tomislav Bujanovic Electrical and Computer Engineering Department College of Engineering and Applied Sciences Western Michigan University Kalamazoo MI 49008-5314 USA Email tombujanovic@yahoo.com Received 8 June 2004 Revised 3 December 2004 Recommended for Publication by Luciano da F. Costa Segmentation and motion estimation are two problems that require accurate estimation for many applications in computer vision and image analysis. This work presents a solution to these two problems simultaneously. Both the segmentation and motion fields are integrated and estimated in parallel to reduce computation time. The presented algorithm is based on producing motion estimates and restored pixel intensity values through an optimization process that uses deterministic mean-field annealing MFA framework. The MFA results at different temperature values are used to run a segmentation process using the concept of region-growing-based algorithm. The segmentation process starts at high temperatures and continues in parallel to the annealing process to refine the segmentation process at lower temperatures. The algorithm results are good and dependent on the annealing parameters. Several experimental results from synthetic and real-world sequences are presented. Keywords and phrases segmentation motion estimation mean-field annealing. 1. INTRODUCTION Accurate estimation of motion information and scene segmentation is the focus of investigators in many discipline areas for a variety of applications. Visual motion analysis is necessary for applications such as target tracking video coding automatic surveillance remote .
