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Joint segmentation and motion estimation
Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), 2002This paper presents an algorithm for image sequence segmentation based on clustering and on motion estimation with the Hough transform. The clustering criterion uses the estimated motion information, simultaneously with intensity and position information. This results in a very robust segmentation and motion estimation.
Margarida Silveira, Moisés Piedade
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Motion adaptive search for fast motion estimation
2003 IEEE International Conference on Consumer Electronics, 2003. ICCE., 2003The paper presents motion adaptive search (MAS), that effectively utilizes motion activity information to achieve superior performance both in terms of quality and speed in comparison with other fast search algorithms for motion estimation. The main features of MAS are: the early elimination of search by detecting the stationary macroblocks; the ...
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Perception Estimation of Vehicle Motion
2009 Third UKSim European Symposium on Computer Modeling and Simulation, 2009Vehicular movements are bounded to some rules and regulations based on the environment and road networks. Visual signals are the most common way of transferring perception of motion to immediate vehicles but these indications do not portray correct perception of the motion.
Syed Riaz un Nabi Jafri +1 more
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Recursive Estimation of Motion Parameters
Computer Vision and Image Understanding, 1996A robust algroithm that estimates the motion parameters recursively from a sequence of noisy images is presented here. We propose the use of the least median of squares method in conjunction with a computationally efficient recursive scheme. The method works well even when nearly half of the features have been matched very poorly.
CHAUDHURI, S, SHARMA, S, CHATTERJEE, S
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Asymmetric motion estimation/compensation
Proceedings of 3rd IEEE International Conference on Image Processing, 2002The present paper introduces an original way to perform motion estimation and compensation. The scheme is asymmetric in the sense that the compensation stage is not merely the reverse operation of the estimation process. Motion estimation is computed using a classical block matching algorithm and the set of vectors that compose the motion information ...
Xavier Marichal, Benoît Macq
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An adaptive scheme for estimating motion
2004 International Conference on Image Processing, 2004. ICIP '04., 2005In this paper, we propose a new scheme for estimating the motion adaptively at each pixel. We assume non-stationary statistics for noise and motion, and propose a blind approach based on using the generalized cross validation (GCV) technique. We thus determine a different level of regularization at each pixel based on the local statistics using GCV ...
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