Results 221 to 230 of about 140,266 (262)

Estimating motion in image sequences

IEEE Signal Processing Magazine, 1999
We have reviewed the estimation of 2D motion from time-varying images, paying particular attention to the underlying models, estimation criteria, and optimization strategies. Several parametric and nonparametric models for the representation of motion vector fields and motion trajectory fields have been discussed.
Christoph Stiller, Janusz Konrad
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Testing a motion estimator array

[1990] Proceedings of the International Conference on Application Specific Array Processors, 2002
The authors examine the problems of testing a motion estimator array using a novel strategy for testing VLSI regular arrays. They present a case study to demonstrate the ability of the strategy to test regular arrays with data restrictions, to test large word level arrays, and to test less regular arrays.
William P. Marnane, Will R. Moore
openaire   +1 more source

Object-guided motion estimation

Computer Vision and Image Understanding, 2016
We provide a new not yet investigated approach for motion analysis in image sequences.We show the benefits of equipping a dense motion estimator with object-level tracking.We provide a new algorithm for object-aware and occlusion-aware point tracking.We evaluate quantitatively our method on available ground-truth trajectories.
Juan-Manuel Pérez-Rúa, Tomás Crivelli, Patrick Pérez   +2 more
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Image motion estimation by clustering

International Journal of Imaging Systems and Technology, 1990
AbstractImage motion is estimated by matching feature “interest” points in different frames of video image sequences. The matching is based on local similarity of the displacement vectors. Clustering in the displacement vector space is used to determine the set of plausible match vectors.
Amit Bandopadhay, John Aloimonos
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Joint segmentation and motion estimation

Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), 2002
This 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
openaire   +1 more source

Perception Estimation of Vehicle Motion

2009 Third UKSim European Symposium on Computer Modeling and Simulation, 2009
Vehicular 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, Ahmed Zeeshan Pervaiz   +1 more
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Motion adaptive search for fast motion estimation

2003 IEEE International Conference on Consumer Electronics, 2003. ICCE., 2003
The 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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Recursive Estimation of Motion Parameters

Computer Vision and Image Understanding, 1996
A 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
openaire   +2 more sources

Motion estimation

No abstract.
Haan, de, G., Ciuhu, C.
  +3 more sources

Asymmetric motion estimation/compensation

Proceedings of 3rd IEEE International Conference on Image Processing, 2002
The 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
openaire   +1 more source