Search Results - (( motion estimation method algorithm ) OR ( parameter optimization modified algorithm ))
Search alternatives:
- parameter optimization »
- optimization modified »
- estimation method »
- method algorithm »
-
1
A comprehensive analysis of surface electromyography for control of lower limb exoskeleton
Published 2016“…Initial estimate of the model is obtained from literature review while the Levenderg-Marquardt (LM) method is applied to solve the nonlinear least squares optimization problem. …”
Get full text
Get full text
Thesis -
2
An Adaptive Motion Estimation Algorithm for Irregular Motion of Objects
Published 2014Get full text
Get full text
Conference or Workshop Item -
3
ADAPTIVE MOTION ESTIMATION ALGORITHM FOR CROWDED SCENES
Published 2015“…Lots of crowd motion estimation algorithms have been presented in the last years comprising pedestrian motion. …”
Get full text
Get full text
Thesis -
4
Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence
Published 2011“…Block-matching algorithm is the most common technique applied in block-based motion estimation technique. …”
Get full text
Get full text
Get full text
Book Chapter -
5
Fast adaptive motion estimation search algorithm for H.264 encoder
Published 2012“…Simulation result shows that as compared to previous research, this algorithm achieves up to average 60% reduction in motion estimation time without degrading the video quality.…”
Get full text
Get full text
Thesis -
6
Variable block based motion estimation using hexagon diamond full search algorithm (HDFSA) via block subtraction technique
Published 2015“…There are many types of motion estimation method but the most used method is the block matching method which is the fixed block matching and the variable block matching. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
7
New Fast Block Matching Algorithm Using New Hybrid Search Pattern And Strategy To Improve Motion Estimation Process In Video Coding Technique
Published 2016“…These 6 algorithms are divided into 3 main methods namely Method A, Method B, and Method C depending on their search patterns and strategies. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
8
An adaptive motion estimation algorithm for irregular motion of objects
Published 2014Get full text
Get full text
Conference or Workshop Item -
9
An adaptive block-based matching algorithm for crowd motion sequences
Published 2018“…For crowd analytics and surveillance systems, motion estimation is an essential first step. Lots of crowd motion estimation algorithms have been presented in the last years comprising pedestrian motion. …”
Get full text
Get full text
Article -
10
An adaptive block-based matching algorithm for crowd motion sequences
Published 2018“…For crowd analytics and surveillance systems, motion estimation is an essential first step. Lots of crowd motion estimation algorithms have been presented in the last years comprising pedestrian motion. …”
Get full text
Get full text
Article -
11
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. …”
Get full text
Get full text
Thesis -
12
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. …”
Get full text
Get full text
Article -
13
Fast adaptive motion estimation for H.264
Published 2011“…Simulation result shows that compared to Full Search (FS), this algorithm achieves up to 60% reduction in motion estimation time without degrading the video quality.…”
Get full text
Get full text
Conference or Workshop Item -
14
Optimization of modified Bouc–Wen model for magnetorheological damper using modified cuckoo search algorithm
Published 2021“…This article presents a new modified cuckoo search algorithm with dynamic discovery probability and step-size factor for optimizing the Bouc–Wen Model in magnetorheological damper application. …”
Get full text
Get full text
Get full text
Article -
15
Robust remote heart rate estimation from multiple asynchronous noisy channels using autoregressive model with Kalman filter
Published 2019“…The results of three experiments demonstrate that our algorithm substantially outperforms all previous methods. …”
Get full text
Get full text
Article -
16
Performance Analysis of Motion Estimation Algorithms on Digital Video Images
Published 2011“…These basic algorithms are Full Search and other two fast search methods. …”
Get full text
Get full text
Article -
17
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“…This thesis is concerned with algorithm optimization and efficient low cost architecture design for integer motion estimation (IME) and sub-pixel motion estimation (SME) of H.264/AVC. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Thesis -
18
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. …”
Get full text
Get full text
Article -
19
Modified Harmony Search
Published 2017“…A metaheuristic algorithm, called Harmony Search is quite highly applied in optimizing parameters in many areas. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
20
Hybrid Harmony Search Algorithm with Grey Wolf Optimizer and Modified Opposition-based Learning
Published 2019“…Many variants have been developed to cope with this problem and improve algorithm performance. In this paper, a hybrid algorithm of HS with grey wolf optimizer (GWO) has been developed to solve the problem of HS parameter selection. …”
Get full text
Get full text
Get full text
Article
