Search Results - (( frames prediction based algorithm ) OR ( java application optimisation algorithm ))
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Parallel Kalman filter-based multi-human tracking in surveillance video
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Time normalization of LPC feature using warping method
Published 2005“…The processed features are pitch and Linear Predictive Coefficients (LPC) for input and reference templates, based on Dynamic Time Warping (DTW) algorithm. …”
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Accurate Real-TIme Object Tracking with Linear Prediction Method
Published 2003“…It attempts to predict the centroid of the moving object in the next frame, based on several past centroid measurements. …”
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DTWFF-pitch feature and faster neural network convergence for speech recognition
Published 2007“…The processed features are pitch and Linear Predictive Coefficients (LPC) for input and reference templates, based on Dynamic Time Warping (DTW) algorithm. …”
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Integration of projection histograms and linear prediction for object tracking
Published 2003“…The Projection Histograms technique is applied to obtain the actual location of the tracked target, whereas the Linear Prediction method is incorporated in the proposed tracking algorithm to predict the location of the moving object in the next frame based on its several past centroid measurements. …”
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A survey on 2d object tracking in digital video
Published 2009“…This paper presents object tracking methods in video.Different algorithms based on rigid, non rigid and articulated object tracking are studied. …”
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Multiple description coding for streoscopic 3D
Published 2009“…In the literature, MDC has previously been applied in 2D video but not so much in 3D video. The proposed algorithm enhances the error resilience of the 3D video using the combination of even and odd frame based MDC while retaining good temporal prediction efficiency for video over error-prone networks. …”
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Road lane tracking based on monocular vision
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REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC
Published 2011“…Due to the limitation of compensation method, the predicted frame, or the side information, is expected to have varying degrees of success. …”
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An adaptive block-based matching algorithm for crowd motion sequences
Published 2018“…The proposed algorithm is based on block-based matching, particle advection, and social force model. …”
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An adaptive block-based matching algorithm for crowd motion sequences
Published 2018“…The proposed algorithm is based on block-based matching, particle advection, and social force model. …”
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Adaptive model predictive control based on wavelet network and online sequential extreme learning machine for nonlinear systems
Published 2015“…An analytical analysis based on ELM theories presented to prove the capability of the LWN to support the OSELM algorithm (LWN-OSELM). …”
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Particle swarm optimization with deep learning for human action recognition
Published 2021“…These algorithms are sensitive to noise, and thus, it is difficult to accurately predict the location of the objects. …”
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An enhanced adaptive grey verhulst prediction model for network security situation
Published 2016“…The proposed model applied Kalman Filtering algorithm to predict the residual in the next time-frame and closer the deviation between the predicted and actual network security situation. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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Real time tracking in 3D space by robotic vision
Published 2007“…The target coordinates are determined by an image processing technique and non-linear prediction algorithm. The control signals derived from the video signal set the azimuth ? …”
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Proceeding Paper
