Search Results - (( time estimation using algorithm ) OR ( motion estimation using algorithm ))*
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1
Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence
Published 2011“…Both of these algorithms are designed using 16 × 16 block size. In particular, the motion vector estimation, quality performance, computational complexity, and elapsed processing time are emphasised. …”
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Book Chapter -
2
Variable block based motion estimation using hexagon diamond full search algorithm (HDFSA) via block subtraction technique
Published 2015“…The fixed block matching uses the same block size throughout the motion estimation process while the variable block matching uses different block size. …”
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Thesis -
3
Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman
Published 2019“…Block Matching Algorithm (BMA) is a technique used to minimize the computational complexity of motion estimation in video coding application. …”
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Thesis -
4
Multilevel optimization for dense motion estimation
Published 2011“…This research has been oriented towards the design of a new technique for fast and reliable dense motion estimation. We used variational models of optical flow computation to estimate the dense motion in a sequence of images.We have been interested in developing a multilevel optimization solver to produce accurate optical flow estimation for real-time applications.To the best of our knowledge, two-ways multilevel optimization techniques are used for the first time in the context of a computer vision problem. …”
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Monograph -
5
Zero acceleration algorithm with state of motion identifier for position estimation of wheeled robot
Published 2019“…Position estimation system using inertial sensor poses a critical challenge to deliver accurate positioning information. …”
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Thesis -
6
A comparison study on different crowd motion estimation algorithms using matlab
Published 2014“…This article describes different motion detection methods, gives a brief illustration of the optical flow conception, and presents in details the Lucas-Kanade and Horn-Schunk algorithms for optical flow estimation and their implementation using MATLAB. …”
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Article -
7
Content adaptive fast motion estimation based on spatio-temporal homogeneity analysis and motion classification
Published 2012“…This is the basis of the proposed algorithm. The proposed algorithm involves a multistage approach that includes motion vector prediction and motion classification using the characteristics of video sequences. …”
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Article -
8
REAL-TIME HORN-SCHUNCK OPTICAL FLOW HARDWARE ARCHITECTURE FOR HIGH ACCURACY MOTION ESTIMATION
Published 2012“…The optical flow constraint equation of Horn-Schunck (OFCE-HS) is an algorithm used to compute motion estimation from the apparent motion of image sequences. …”
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Thesis -
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Performance Analysis of Hexagon-Diamond Search Algorithm for Motion Estimation using MATLAB
Published 2010“…One of ME techniques, known as Block Matching Algorithm (BMA), has been widely used in various video coding standards. …”
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11
SLOW DRIFT MOTIONS IDENTIFICATION OF FLOATING STRUCTURES USING TIME-VARYING INPUT -OUTPUT MODELS
Published 2015“…The first step is presenting the backward estimator and combined forward-backward estimator instead of the only forward estimator in the original input-output models; the second step is reformulating the input-output models into a state-space model so that the Kalman Smoother (KS) adaptive filter can be used to estimate the model coefficients; the third step is optimization of KS parameters using evolutionary computing algorithms such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Artificial Bee Colony (ABC) to form the PSO-KS, GA-KS and ABC-KS as estimation methods.…”
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Thesis -
12
Algorithm optimization and low cost bit-serial architecture design for integer-pixel and sub-pixel motion estimation in H.264/AVC / Mohammad Reza Hosseiny Fatemi
Published 2012“…Therefore, acceleration of the motion estimation (ME) in H.264/AVC with efficient algorithms and architectures is essential for real-time applications. …”
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Thesis -
13
An evaluation of optical flow algorithms for crowd analytics in surveillance system
Published 2017“…The improvement in computational efficiency and increasing interest in robust and accurate motion estimation algorithms lead to increase in the use of optical flow in crowd analytic applications. …”
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Article -
14
Performance analysis of hexagon-diamond search algorithm for motion estimation
Published 2010“…One of ME techniques, known as Block Matching Algorithm (BMA), has been widely used in various video coding standards. …”
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Conference or Workshop Item -
15
Fast directional search algorithm for fractional pixel motion estimation for H.264 AVC
Published 2013“…Fractional pixel motion estimation (ME) is required to achieve more accurate motion vectors and higher compression efficiency. …”
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Citation Index Journal -
16
An analysis of the performance of fast block matching motion estimation algorithms
Published 2009“…One of ME techniques, known as Block Matching Algorithm (BMA), has been widely used in various video coding standards. …”
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Article -
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Performance analysis of block matching algorithms in motion estimation
Published 2010“…One of ME techniques, known as Block Matching Algorithm (BMA), has been widely used in various video coding standards. …”
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Conference or Workshop Item -
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BLOCK MOTION ESTIMATION USING DIRECTIONAL ADAPTIVE SEARCH WINDOW
Published 2006“…By using Option 2 for early termination, the search point computation and PSNR is reduced with average 1.3% and 1.027% from the adaptive motion estimation without the early termination process.…”
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Final Year Project -
19
Estimation of Response Transfer Functions of Offshore Structures Using the Time-Varying ARX Model
Published 2013“…Here, we outline a practical algorithm for TVARX model which uses expectation-maximization (EM) algorithm based on Kalman smoother to generate the transfer function. …”
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20
Block Motion Estimation Using Directional Adaptive Search Window
Published 2006“…The proposed algorithm determines the amount of motion in past frames and classifies the video sequence as having low, medium or high motion. …”
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