Search Results - (( parameter estimation case algorithm ) OR ( frames detection method algorithm ))
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Depth frame loss concealment for wireless transmission utilising motion detection information
Published 2014“…The methods are able to facilitate a frame copy algorithm and a high correlation of colour and depth frames to conceal depth frame loss. …”
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A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method
Published 2018“…Therefore, to overcome the several problems associated with the object detection method, a new approach in Particle Swarm Optimization (PSO) algorithm for optimal search solution as an alternative method to detect of object tracking quickly, precisely and accurately. …”
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Automated threshold detection for object segmentation in colour image
Published 2016“…In solving this issue, this paper presents an Automated Threshold Detection Algorithm, H(•). The algorithm is applied in segmenting human lower limbs from a series of image frames of human walking. …”
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Ulcer detection and classification of wireless capsule endoscopy images using RGB masking
Published 2016“…This algorithm of capsule images can be clinically very useful as it can discriminate between normal and abnormal frame. …”
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Ulcer detection and classification of wireless capsule endoscopy images using RGB masking
Published 2016“…This algorithm of capsule images can be clinically very useful as it can discriminate between normal and abnormal frame. …”
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An Improved Action Key Frames Extraction Algorithm for Complex Colour Video Shot Summarization
Published 2019“…The objective of this work is to improve our previous action key frames extraction algorithm (AKF) by adapting a threshold which selects action key frames as final key frames. …”
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Investigation of block matching algorithm for video coding
Published 2013“…Then, the best BMA algorithm technique will be chosen to develop a hybrid method that varies with the motion type of the video. …”
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Fast shot boundary detection based on separable moments and support vector machine
Published 2021“…Thus, in this paper, a balance between detection accuracy and speed for SBD is addressed by presenting a new method for fast video processing. …”
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Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs
Published 2017“…Specifically, the objectives of this thesis are (i) to develop an image registration technique based on multigraph matching, (ii) to detect occluded objects through exploration of candidate object correspondences in longer frame sequences, and (iii) to develop a robust graph coloring algorithm for multiple moving object detection under different transformations. …”
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Parameter estimation of cocomo model using the jaya algorithm for software cost estimation
Published 2019“…The Constructive Cost Model (COCOMO) is a procedural software cost estimation model developed by Barry W. Boehm. In this case, the estimation of value of the COCOMO model parameters are determined for the cost and time estimation of the COCOMO model. …”
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Undergraduates Project Papers -
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Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems
Published 2011“…The main idea is the integration of optimal control and parameter estimation. In this work, a simplified model-based optimal control model with adjustable parameters is constructed. …”
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An Improved Hybrid of Particle Swarm Optimization and the Gravitational Search Algorithm to Produce a Kinetic Parameter Estimation of Aspartate Biochemical Pathways
Published 2017“…The results show that the proposed algorithm outperformed other standard optimization algorithms in terms of accuracy and near-optimal kinetic parameter estimation. …”
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Enhanced and effective parallel optical flow method for vehicle detection and tracking
Published 2016“…With a view to do improvements, it is proposed to develop an unique algorithm for vehicle data recognition and tracking using Parallel Optical Flow method based on Lucas-Kanade algorithm. …”
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Conference or Workshop Item -
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LASSO-type estimations for threshold autoregressive and heteroscedastic time series models.
Published 2020“…In this thesis, we propose Least Absolute Shrinkage and Selection Operator (LASSO) type estimators to perform simultaneous parameter estimation and model selection for five specific univariate and multivariate time series models, and develop several algorithms to compute these estimators. …”
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UMK Etheses -
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Frame removal for mushaf Al-Quran using irregular binary region
Published 2019“…In this paper, an algorithm for detecting the frame on Al-Quran page without affecting its content is proposed. …”
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A fuzzy approach for early human action detection / Ekta Vats
Published 2016“…Most existing methods deal with the detection of an action after its completion. …”
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Thesis
