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Robust Phase Correlation based Motion Estimation and Its Applications

H. Yan, J.-G. Liu
2008 Procedings of the British Machine Vision Conference 2008  
This compound phase correlation method is the breakthrough in improving the robustness of phase correlation based feature matching around motion boundary or depth discontinuity.  ...  A phase fringe filter and a highly robust estimator QMDPE are used to improve the fitting accuracy of the phase difference plane in Fourier domain.  ...  Acknowledgements The work reported in this paper was funded by the Systems Engineering for Autonomous Systems (SEAS) Defence Technology Centre established by the UK Ministry of Defence.  ... 
doi:10.5244/c.22.104 dblp:conf/bmvc/YanL08 fatcat:fgz3vanenrewtlts44dbdiatre

Robust optimization in lung treatment plans accounting for geometric uncertainty

Xin Zhang, Yi Rong, Steven Morrill, Jian Fang, Ganesh Narayanasamy, Edvaldo Galhardo, Sanjay Maraboyina, Christopher Croft, Fen xia, Jose Penagaricano
2018 Journal of Applied Clinical Medical Physics  
Weak correlation was found between normal lung dose and target size, and no other correlation was observed in this study.  ...  Robust optimization generates scenario-based plans by a minimax optimization method to find optimal scenario for the trade-off between target coverage robustness and organ-at-risk (OAR) sparing.  ...  However, no correlation was found between ITV mean dose and tumor site/tumor size/tumor motion in this study.  ... 
doi:10.1002/acm2.12291 pmid:29524301 pmcid:PMC5978970 fatcat:obnhwjjvnffd7mzym7jkt5766i

Adaptive robust estimation of affine parameters from block motion vectors

Seok-Woo Jang, Marc Pomplun, Gye-Young Kim, Hyung-Il Choi
2005 Image and Vision Computing  
In this paper, we propose an affine parameter estimation algorithm from block motion vectors for extracting accurate motion information with the assumption that the undergoing motion can be characterized  ...  The proposed method first extracts motion vectors from a sequence of images by using size-variable block matching and then processes them by adaptive robust estimation to estimate affine parameters.  ...  To evaluate the performance quantitatively, we define the error measure as in (11) , which reflects the cross-correlation between an actual motion vector and an estimated motion vector [16] .  ... 
doi:10.1016/j.imavis.2005.09.003 fatcat:jdpoakkay5ct3enullge2grkuy

Causal Camera Motion Estimation by Condensation and Robust Statistics Distance Measures [chapter]

Tal Nir, Alfred M. Bruckstein
2004 Lecture Notes in Computer Science  
In this paper we employ a robust-statistics-based condensation approach to the camera motion estimation problem.  ...  Employing robust distance functions in the condensation measurement stage enables the algorithm to discard a considerable fraction of outliers in the data.  ...  The comparison between the robust and the EKF approach is made with both having the same motion parameters in the estimated state, the same 003 . 0 = = V σ σ ω .  ... 
doi:10.1007/978-3-540-24672-5_10 fatcat:kxe4huzmazdtddrgnmq5rg5xoq

Stability and Robustness of the Disturbance Observer-based Motion Control Systems in Discrete-Time Domain [article]

Emre Sariyildiz, Satoshi Hangai, Tarik Uzunovic, Takahiro Nozaki, Kouhei Ohnishi
2020 arXiv   pre-print
This paper analyses the robust stability and performance of the Disturbance Observer- (DOb-) based digital motion control systems in discrete-time domain.  ...  For example, the bandwidth of the DOb is limited by noise-sensitivity and waterbed effect when velocity and position measurements are employed in the digital robust motion controller synthesis.  ...  In this paper, the DOb-based robust motion control systems are analysed and synthesised in discrete-time domain.  ... 
arXiv:2010.08075v1 fatcat:btxwkjgpzjclrapfdg37dis2sy

Motion intention optimization for multirotor robust video stabilization

Wilbert G. Aguilar, Cecilio Angulo, Jorge A. Pardo
2017 2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)  
In this paper we present an optimization algorithm for simultaneously detecting video freeze and obtaining the minimum number of the frame required in motion intention estimation for real time robust video  ...  A combination of a filter and a threshold is used to the video freeze detection, and for optimizing the algorithm, we find the minimum number of frames for motion intention estimation without decrease  ...  In the robust cumulated motion estimation, a search of correspondences between feature points is carried out as a part of the motion estimation process.  ... 
doi:10.1109/chilecon.2017.8229689 fatcat:val77hgb3bgxfnl4nq6f2bmzmu

Investigation of inter‐fraction target motion variations in the context of pencil beam scanned proton therapy in non‐small cell lung cancer patients

Lydia A. den Otter, Renske M. Anakotta, Menkedina Weessies, Catharina T.G. Roos, Nanna M. Sijtsema, Christina T. Muijs, Margriet Dieters, Robin Wijsman, Esther G.C. Troost, Christian Richter, Arturs Meijers, Johannes A. Langendijk (+2 others)
2020 Medical Physics (Lancaster)  
Larger motion variations for one example patient compromised treatment plan robustness while no dosimetric influence was seen due to motion assessment biases in another example case.  ...  Motion observed in the 4DCBCT scans deviated on average 1.5 mm (range: 0.0-6.0 mm) from the motion observed in the 4DCTs.  ...  There exist differences in imaging accuracy between several brands of 4DCT scanners, which can result in errors during motion estimation.  ... 
doi:10.1002/mp.14345 pmid:32573792 fatcat:mmdzh3ftu5hbvona3b54f6oblm

Robust multi-target tracking in outdoor traffic scenarios via persistence topology based robust motion segmentation

Somrita Chattopadhyay, Qian Ge, Chunpeng Wei, Edgar Lobaton
2015 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP)  
occupancy map Motion Segmentation • In the accumulated occupancy grid, the regions with higher probability represent the static object • 15 Occupancy map Robust segmentation Motion segmentation  ...  (T) motion between successive images using SIFT • Use the homograph information to accumulate the occupancy map by a Bayesian filter approach 14 Three successive occupancy maps Accumulate  ... 
doi:10.1109/globalsip.2015.7418308 dblp:conf/globalsip/ChattopadhyayGW15 fatcat:e7c4a3tcvndlhpfci4esg74tge

Estimating the apparent transverse relaxation time (R2*) from images with different contrasts (ESTATICS) reduces motion artifacts

Nikolaus Weiskopf, Martina F. Callaghan, Oliver Josephs, Antoine Lutti, Siawoosh Mohammadi
2014 Frontiers in Neuroscience  
The fit was implemented as a conventional ordinary least squares optimization and as a robust fit with a small or large confidence interval.  ...  motion tracking.  ...  In addition, the same test was used to test for pair-wise differences between ESTATICS based on the OLS and the two robust fitting methods.  ... 
doi:10.3389/fnins.2014.00278 pmid:25309307 pmcid:PMC4159978 fatcat:uglmdaqimnbk5beebwya2fdgsa

Evaluation of a robust least squares motion detection algorithm for projective sensor motions parallel to a plane

Fabian Campbell-West, Paul Miller, Fionn D. Murtagh
2005 Opto-Ireland 2005: Imaging and Vision  
A robust least squares motion detection algorithm was evaluated with respect to target size, contrast and sensor noise. In addition, the importance of robust motion estimation was also investigated.  ...  Analysis of the results revealed that the presence of small amounts of noise results in poor performance.  ...  The first is a comparison between the motion estimation accuracy and the degree of tilt in the forward looking sensor.  ... 
doi:10.1117/12.605237 fatcat:li7sjdjulvelfmrxgvvcn3l7fy

Planning and Control of Meso-scale Manipulation Tasks with Uncertainties

P. Cheng, D. Cappelleri, B. Gavrea, V. Kumar
2007 Robotics: Science and Systems III  
We discuss the synthesis of robust planning primitives using a single degreeof-freedom probe and the automated generation of plans for meso-scale manipulation.  ...  Because of errors in sensing position and orientation of the parts to be assembled, we must consider uncertainty in the sensed configuration of the system.  ...  Comparison between robust and non-robust motions Trajectories from robust motion primitives show less variation (and are therefore more predictable) than trajectories from other motion primitives.  ... 
doi:10.15607/rss.2007.iii.035 dblp:conf/rss/ChengCGK07 fatcat:2e3ia2xfcbatfpra26dzf55q4i

Hybrid recursive energy-based method for robust optical flow on large motion fields

Jangheon Kim, T. Sikora
2005 IEEE International Conference on Image Processing 2005  
The method efficiently combines the advantage of discrete motion estimation and optical flow estimation in a recursive block-to-pixel estimation scheme.  ...  Integrated local and global approaches using the robust statistic of anisotropic diffusion remove outliers from the estimated motion field.  ...  The results in Fig. 3 show the dense motion field between the 1st frame and 6th frame using the magnitude. It proves the robustness and efficiency of our method for very large motion.  ... 
doi:10.1109/icip.2005.1529704 dblp:conf/icip/KimS05 fatcat:iids3px7ybambn7bg5ih3q6r6y

Cardiac motion estimation with dictionary learning and robust sparse coding in ultrasound imaging

Nora Ouzir, Patricia Chiril, Adrian Basarab, Jean-Yves Tourneret
2018 2018 IEEE International Ultrasonics Symposium (IUS)  
In this work, regularization is achieved by exploiting the sparseness of cardiac motion fields when decomposed in an appropriate dictionary, as well as their smoothness through a classical total variation  ...  The main contribution of this work is to robustify the sparse coding step in order to handle anomalies, i.e., motion patterns that significantly deviate from the expected model.  ...  CARDIAC MOTION ESTIMATION WITH ROBUST SPARSE CODING In this work, we propose to combine the cardiac motion estimation method of [9] with the robust sparse coding algorithm of [10] .  ... 
doi:10.1109/ultsym.2018.8580022 fatcat:rw4g422cgfe2jf4rdoo5643oea

Mitigation of the Interplay Effects of Combining 4D Robust With Layer Repainting Techniques in Proton-Based SBRT for Patients With Early-Stage Non-small Cell Lung Cancer

Long Wei, Haijiao Shang, Fu Jin, Yuenan Wang
2020 Frontiers in Oncology  
Moreover, a positive linear correlation was observed between the optimal interplay effect mitigation and target range of motion.  ...  However, there was no significant correlation between the number of repainting layers and improvements in the dose distributions.  ...  T 0,i − x T 50,i , y T 0,i − y T 50,i i , z T 0,i − z T 50,i are the components in voxel i of the deformation vector field between the T 0 and T 50 phase images in the 4DCT images. 4D Robust Treatment  ... 
doi:10.3389/fonc.2020.574605 pmid:33163404 pmcid:PMC7583463 fatcat:qmoi3m5tyng6fodou7t22uk2cq

Robust Optical Flow Estimation in Cardiac Ultrasound Images Using a Sparse Representation

Nora Ouzir, Adrian Basarab, Olivier Lairez, Jean-Yves Tourneret
2018 IEEE Transactions on Medical Imaging  
This is an author's version published in: Abstract -This paper introduces a robust 2-D cardiac motion estimation method.  ...  Robustness to outliers, such as imaging artefacts and anatomical motion boundaries, is introduced using robust weighting functions for the data fidelity term as well as for the spatial and sparse regularizations  ...  Finally, the fully robust formulation results in a smooth motion field shown in Fig. 2 (g,h) with less data errors and a clear discontinuity in the horizontal flow between the two parts of the images  ... 
doi:10.1109/tmi.2018.2870947 pmid:30235121 fatcat:xxekta5dzzhdfiwap7nybeqg5e
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