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Real-time optical flow estimation

Proceedings of IEEE Systems Man and Cybernetics Conference - SMC, 2002
The gradient-based methods for optical flow estimation are based on a constraint equation which is defined for each image pixel. The structure of the constraint equation makes the problem ill-posed so in the past some solutions have been proposed based on regularization.
DEL BIMBO, ALBERTO, NESI, PAOLO
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Region-based optical flow estimation

Proceedings CVPR '89: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003
A correspondence method is developed for determining optical flow where the primitive motion tokens to be matched between consecutive time frames are regions. The computation of optical flow consists of three stages: region extraction, region matching, and optical flow smoothing. The computation is completed by smoothing the initial optical flow, where
C.-S. Fuh, P. Maragos
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Optical flow and scene flow estimation: A survey

Pattern Recognition, 2021
Abstract Motion analysis is one of the most fundamental and challenging problems in the field of computer vision, which can be widely applied in many areas, such as autonomous driving, action recognition, scene understanding, and robotics. In general, the displacement field between subsequent frames can be divided into two types: optical flow and ...
Mingliang Zhai   +3 more
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Optical Flow Based Pose Estimation

Proceedings of the 2018 2nd International Conference on Cloud and Big Data Computing, 2018
In this paper, we present a new variant of ICP (iterative closest point) algorithm based on optical flow for finding better 3D point correspondence and computing six-degrees of freedom (6-DOF) pose of the rigid objects. Our approach integrates optical flow algorithm to ICP method, and proposed method gets advantage of higher resolution of the RGB ...
Mehmet Akif Alper   +3 more
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Wavelet-based optical flow estimation

IEEE Transactions on Circuits and Systems for Video Technology, 2002
In this paper, a new algorithm for accurate optical flow estimation using discrete wavelet approximation is proposed. The proposed method takes advantages of the nature of wavelet theory, which can efficiently and accurately represent "things", to model optical flow vectors and image related functions.
null Li-Fen Chen   +2 more
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Second Order Variational Optic Flow Estimation

2007
In this paper we present a variational approach to accurately estimate the motion vector field in a image sequence introducing a second order Taylor expansion of the flow in the energy function to be minimized. This feature allows us to simultaneously obtain, in addition, an estimation of the partial derivatives of the motion vector field.
Alvarez, L.   +6 more
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Simultaneous multiple optical flow estimation

[1990] Proceedings. 10th International Conference on Pattern Recognition, 2002
The authors propose a simultaneous closed-form estimation method for multiple optical flow from image sequences in which each image point has multiple motions. This method only requires convolution for space-time filtering and low-dimensional eigensystem analysis as an optimization process.
M. Shizawa, K. Mase
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Optical flow estimation over extended image sequence

2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries. Proceedings. MeleCon 2000 (Cat. No.00CH37099), 2005
A number of proposed optical flow estimation algorithms for image motion analysis use only a few subsequent frames from an image sequence to perform calculation. Others, that use many frames, as is case in frequency and energy based, as well as in stochastic optical flow algorithms, are better suited for off-line work.
Kalafatić, Zoran   +2 more
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Optical flow estimation using temporally oversampled video

IEEE Transactions on Image Processing, 2005
Recent advances in imaging sensor technology make high frame-rate video capture practical. As demonstrated in previous work, this capability can be used to enhance the performance of many image and video processing applications. The idea is to use the high frame-rate capability to temporally oversample the scene and, thus, to obtain more accurate ...
SukHwan, Lim   +2 more
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Optical Flow Estimation Using Genetic Algorithms

2006
This paper illustrates a new optical flow estimation technique, which builds upon a genetic algorithm (GA). First, the current frame is segmented into generic shape regions, using only brightness information. For each region a two-parameter motion model is estimated using a GA.
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