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Simultaneous motion estimation and segmentation
IEEE Transactions on Image Processing, 1997We present a Bayesian framework that combines motion (optical flow) estimation and segmentation based on a representation of the motion field as the sum of a parametric field and a residual field. The parameters describing the parametric component are found by a least squares procedure given the best estimates of the motion and segmentation fields. The
M M, Chang, A M, Tekalp, M I, Sezan
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Adaptive model-based motion estimation
IEEE Transactions on Image Processing, 1994A general discrete-time, adaptive, multidimensional framework is introduced for estimating the motion of one or several object features from their successive nonlinear projections on an image plane. The motion model consists of a set of linear difference equations with parameters estimated recursively from a nonlinear observation equation.
R J, Crinon, W J, Kolodziej
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2009
Interframe prediction in H.264/AVC is carried out in three phases: integer motion estimation (IME), fractional motion estimation, and motion compensation. We will discuss these functions in this chapter and Chaps.4 and 5, respectively. Because motion estimation in H.264/AVC supports variable block sizes and multiple reference frames, high computational
Youn-Long Steve Lin +3 more
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Interframe prediction in H.264/AVC is carried out in three phases: integer motion estimation (IME), fractional motion estimation, and motion compensation. We will discuss these functions in this chapter and Chaps.4 and 5, respectively. Because motion estimation in H.264/AVC supports variable block sizes and multiple reference frames, high computational
Youn-Long Steve Lin +3 more
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Estimate Large Motions Using the Reliability-Based Motion Estimation Algorithm
International Journal of Computer Vision, 2006Detecting and estimating motions of fast moving objects has many important applications. However, most existing motion estimation techniques have difficulties in handling large motions in the scene. In this paper, we extend our recently proposed reliability-based stereo vision technique to solving large motion estimation problem.
Minglun Gong, Yee-Hong Yang
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3D ego-Motion Estimation Using low-Cost mmWave Radars via Radar Velocity Factor for Pose-Graph SLAM
IEEE Robotics and Automation Letters, 2021Yeong-Sang Park +3 more
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Motion estimation methods for overlapped block motion compensation
IEEE Transactions on Image Processing, 2000An extension of conventional block motion compensation (BMC), overlapped block motion compensation (OBMC) has been shown to reduce residual errors and blocking effects in motion-compensated video. However, the overlap creates a noncausal spatial dependence between blocks and complicates motion estimation (ME) for OBMC.
J K, Su, R M, Mersereau
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2010
Algorithms for aligning images and estimating motion in video sequences are among the most widely used in computer vision. For example, frame-rate image alignment is widely used in camcorders and digital cameras to implement their image stabilization (IS ...
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Algorithms for aligning images and estimating motion in video sequences are among the most widely used in computer vision. For example, frame-rate image alignment is widely used in camcorders and digital cameras to implement their image stabilization (IS ...
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Hierarchical Model-Based Motion Estimation
1992This paper describes a hierarchical estimation framework for the computation of diverse representations of motion information. The key features of the resulting framework (or family of algorithms) are a global model that constrains the overall structure of the motion estimated, a local model that is used in the estimation process, and a coarse-fine ...
James R. Bergen +3 more
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A Fast Motion Estimation Using Prediction of Motion Estimation Error
2004This paper presents a modified MSEA (multi-level successive elimination algorithm) which gives less computational complexity. We predict a motion estimation error using the norms at the already processed levels in the MSEA scheme and then decide on if the following levels should be proceeded using the predicted result.
Hyun-Soo Kang +4 more
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1999
Motion estimation (ME) has proven to be effective to exploit the temporal redundancy of video sequences and is therefore a central part of the ISO/IEC MPEG-1, MPEG-2, MPEG-4 and the CCITT H.261/ITU-T H.263 video compression standards. These video compression schemes are based on a block-based hybrid coding concept, [Mus 85], which was extended within ...
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Motion estimation (ME) has proven to be effective to exploit the temporal redundancy of video sequences and is therefore a central part of the ISO/IEC MPEG-1, MPEG-2, MPEG-4 and the CCITT H.261/ITU-T H.263 video compression standards. These video compression schemes are based on a block-based hybrid coding concept, [Mus 85], which was extended within ...
openaire +1 more source