DIFFERENNT APPROACHES TO MOTION PARAMETERS ESTIMATION FROM IMAGE SEQUENCES
EL- MAHY, M., BAHGAT, S., EL NASORY, A. (2019). DIFFERENNT APPROACHES TO MOTION PARAMETERS ESTIMATION FROM IMAGE SEQUENCES. EKB Journal Management System, 7(ASAT Conf. 13-15 May 1997), 1-15. doi: 10.21608/asat.2019.25450
M. K. EL- MAHY; SAYED F. BAHGAT; A. EL NASORY. "DIFFERENNT APPROACHES TO MOTION PARAMETERS ESTIMATION FROM IMAGE SEQUENCES". EKB Journal Management System, 7, ASAT Conf. 13-15 May 1997, 2019, 1-15. doi: 10.21608/asat.2019.25450
EL- MAHY, M., BAHGAT, S., EL NASORY, A. (2019). 'DIFFERENNT APPROACHES TO MOTION PARAMETERS ESTIMATION FROM IMAGE SEQUENCES', EKB Journal Management System, 7(ASAT Conf. 13-15 May 1997), pp. 1-15. doi: 10.21608/asat.2019.25450
EL- MAHY, M., BAHGAT, S., EL NASORY, A. DIFFERENNT APPROACHES TO MOTION PARAMETERS ESTIMATION FROM IMAGE SEQUENCES. EKB Journal Management System, 2019; 7(ASAT Conf. 13-15 May 1997): 1-15. doi: 10.21608/asat.2019.25450

DIFFERENNT APPROACHES TO MOTION PARAMETERS ESTIMATION FROM IMAGE SEQUENCES

International Conference on Aerospace Sciences and Aviation Technology
Article 55, Volume 7, ASAT Conf. 13-15 May 1997, May 1997, Page 1-15  XML PDF (3.43 MB)
Document Type: Original Article
DOI: 10.21608/asat.2019.25450
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Authors
M. K. EL- MAHY1; SAYED F. BAHGAT2; A. EL NASORY3
1Phd, M1F.E, CEng, Egyptian Aimed Forces, Cairo, Egypt.
2Associate Professor , Military Techncal College, Cairo, Egypt.
3Post Graduate Student, Military Technical College, Cairo, Egypt.
Abstract
This paper reviews the basic techniques of motion information recovery from image sequences. It highlights the recursive method of estimating motion parameters as they are computationally less complex than nonrecursive ones. This paper focuses. on the use of an extended Kalman filter (EKF) in 2-D image processing. A straightforward extension of one-dimentional Kalman filter techniques would result in a number of state variables proportional to n for the filtering of an rum digital image. To overcome this problem, some approximations have been used to reduce the computational load of the algorithm but at the expense of its accuracy. This paper investigates also the parallel implementaion of the EKF in 2-D image processing problem for a range of transputer topologies to enable practical realizations. The parallel implementation results are presented and the relative speedup and efficiency measures are calculated to evaluate the perforemance.
Keywords
Image tracking; Kalman Filtering; Parallel processing; Transputers
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