Search Results - (( motion evaluation ((a algorithm) OR (_ algorithm)) ) OR ( rate simulation based algorithm ))
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A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments
Published 2013“…Sampling-based motion planning is a class of randomized path planning algorithms with proven completeness. …”
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Thesis -
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Multiple description coding for streoscopic 3D
Published 2009“…The side information is also sent according to the video sequence motion for further improvement. The performance of the proposed algorithms is evaluated in error free and error prone environments especially for wireless channels. …”
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Pixel Intensity-Based Contrast Algorithm (PICA) for Image Edges Extraction (IEE)
Published 2023Article -
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Efficient Object Isolation In Complex Environment Using Manipulation Primitive On A Vision Based Mobile 6DOF Robotic Arm
Published 2018“…This paper explores the idea of manipulation aided- perception in the context of isolating an object of interest from other small objects of varying degree of clusterization in order to obtain high quality training images.The robot utilizes a novel algorithm to plot out the position for each noise objects and its destined position as well as its trajectory and then utilizes manipulation primitives (pushing motion) to move said object along the planned trajectory.The method was demonstrated using Vrep simulation software which simulated a Kuka YouBot fitted with a camera on the gripper.We evaluated our approach by simulating the robot manipulators in an experiment which successfully isolate the object of interest from noise objects with at a rate of 77.46% at an average of 0.56 manipulations per object compared to others at 1.76 manipulations subsequently speeding up the time taken for manipulation from 12.58 minutes to 2.6 minutes however suffers from a tradeoff in terms of accuracy when comparing the similar works to our proposed method.…”
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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. …”
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Book Chapter -
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Variable block based motion estimation using hexagon diamond full search algorithm (HDFSA) via block subtraction technique
Published 2015“…In the video and frame selection, pre-defined video which have different type of motion and size is used for the algorithm evaluation purpose. …”
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Thesis -
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An evaluation of optical flow algorithms for crowd analytics in surveillance system
Published 2017“…The implementation of optical flow algorithms is investigated and an evaluation of those techniques is provided qualitatively as well as quantitatively. …”
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New Fast Block Matching Algorithm Using New Hybrid Search Pattern And Strategy To Improve Motion Estimation Process In Video Coding Technique
Published 2016“…The result shows that the DOS-SDSP algorithm has the lowest search points with only 1.7341, 4.9059 and 4.0230 for each motion’s content respectively; meanwhile all the algorithms acquired similar and close PSNR values for all types of motion contents. …”
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Thesis -
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MotionSure: a cloud-based algorithm for detection of injected object in data in motion
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Proceeding Paper -
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Security enhancement of digital motion image transmission using hybrid AES-DES algorithm
Published 2023“…This paper presents the design and implementation of a symmetrical hybrid based 128 bit key AES-DES algorithm as a security enhancement for live motion image transmission. …”
Conference paper -
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A review on particle swarm optimization algorithm and its variants to human motion tracking
Published 2014“…Particle swarm optimization (PSO) is a population-based globalized search algorithm which has been successfully applied to address human motion tracking problem and produced better results in high-dimensional search space.This paper presents a systematic literature survey on the PSO algorithm and its variants to human motion tracking. …”
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Multilevel optimization for dense motion estimation
Published 2011“…We evaluated the performance of different optimization techniques developed in the context of optical flow computation with different variational models.In particular, based on truncated Newton methods (TN) that have been an effective approach for large-scale unconstrained optimization, we developed the use of efficient multilevel schemes for computing the optical flow.More precisely, we evaluated the performance of a standard unidirectional multilevel algorithm - called multiresolution optimization (MR/Opt), to a bidrectional multilevel algorithm - called full multigrid optimization (FMG/Opt).The FMG/Opt algorithm treats the coarse grid correction as an optimization search direction and eventually scales it using a line search. …”
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Monograph -
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Sampling-based online motion planning for mobile robots: utilization of Tabu search and adaptive neuro-fuzzy inference system
Published 2019“…The performance of the proposed algorithm is evaluated through simulation in different motion planning queries. …”
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Development Of Motion Planer And Navigation System For An Office Assistant Robot
Published 2021“…The robot used in this research is a differential drive robot. In order for the robot to navigate autonomously in the office, navigation algorithm and motion planner were implemented on these robot. …”
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Final Year Project / Dissertation / Thesis -
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Hand gesture recognition in ASD related motion using YOLOv8 algorithm / Muhammad Afiq Mohd Ali
Published 2025“…The study focuses on designing a Hand Gesture Recognition application by means of the YOLOv8 deep learning algorithm to recognize hand gestures associated with autism spectrum disorder (ASD). …”
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Thesis -
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Zero acceleration algorithm with state of motion identifier for position estimation of wheeled robot
Published 2019“…In this research, a state of motion identifier framework is proposed to apply a novel kinematic motion constraint to position estimation system. …”
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Analysis on 2D mapping for mobile robot on the sharp edges area
Published 2024“…Therefore, LiDAR self-motion distortion is a common challenge for different SLAM algorithms, especially in environments with sharp edges. …”
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Conference or Workshop Item
