Simultaneous estimation of optical flow and motion parameters

2007 ◽  
Author(s):  
Tomoya Kawakami ◽  
Teruo Yamaguchi ◽  
Hiroshi Harada
Keyword(s):  
Optical Flow ◽  
Simultaneous Estimation ◽  
Motion Parameters

Human Limb Extraction Based on Motion Estimation Using Optical Flow and Image Registration

2004 ◽  
Vol 8 (2) ◽  
pp. 150-155 ◽  
Author(s):  
Toru Tamaki ◽  
Keyword(s):  
Image Registration ◽  
Optical Flow ◽  
Nonlinear Optimization ◽  
Computational Cost ◽  
Initial State ◽  
State Problem ◽  
Estimated Parameters ◽  
Motion Parameters ◽  
Human Limb ◽  
Rough Boundaries

We propose a method for extracting human limb regions by the combination of optical flow-based motion segmentation and nonlinear optimization-based image registration. First, rotating limb regions with rough boundaries are extracted and motion parameters are estimated for an approximated model. Then the extracted region and estimated parameters are used as initial values for nonlinear optimization that minimizes residuals of two successive frames and estimates motion parameters. Combining the two steps reduces computational cost and avoids the initial state problem of optimization. According to estimated parameters, the limb region is extracted by a Bayesian classifier to obtain accurate region boundaries. Experimental results on real images are shown.

scholarly journals Convergence of Object Focused Simultaneous Estimation of Optical Flow and State Dynamics

10.5772/58698 ◽  
2014 ◽  
Vol 11 (10) ◽  
pp. 158
Author(s):  
Nicholas Bauer ◽  
Pubudu Pathirana ◽  
Samitha Ekanayake ◽  
Mandyam Srinivasan
Keyword(s):  
Optical Flow ◽  
Simultaneous Estimation
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