Search Results - (( motion estimation tool algorithm ) OR ( shape identification clustering algorithm ))
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An adaptive block-based matching algorithm for crowd motion sequences
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An adaptive block-based matching algorithm for crowd motion sequences
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The Effect Of Linkages In The Hierarchical Clustering Of Auto-Regressive Algorithm For Defect Identification In Heat Exchanger Tubes
Published 2019“…The AR algorithm characterizes the shape of the stress wave signals by AR coefficients and clustered using ‘centroid’ linkages. …”
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Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning
Published 2016“…Most of the existing plant identification methods are based on both the global shape features and the intact plant leaves. …”
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5
Dense-cluster based voting approach for license plate identification
Published 2018“…This process gives four clusters for the input image. The number of pixels in clusters (dense cluster) and the standard deviation are computed for deriving new hypotheses. …”
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Operational structural damage identification using de-noised modal feature in machine learning / Chen Shilei
Published 2021“…By integrating ISMA, both supervised and unsupervised machine learning algorithms were investigated to develop real-time damage identification schemes. …”
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8
Text independent speaker identification using gaussian mixture model
Published 2007“…For speaker model training, a fast re-estimation algorithm based on highest likelihood mixture clustering is introduced. …”
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Conference or Workshop Item -
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IMPACT OF NUMBER OF ATTRIBUTES ON THE ACCURACY OF HUMAN MOTION CLASSIFICATION
Published 2018“…Present studies merely focus on estimating joints, skeleton and motions of human activities. …”
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An improved fast scanning algorithm based on distance measure and threshold function in region image segmentation
Published 2016“…The clustering process in Fast Scanning algorithm is performed by merging pixels with similar neighbor based on an identified threshold and the use of Euclidean Distance as distance measure. …”
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Product Identification Using Image Processing And Radial Basis Function Neural Networks
Published 2015“…This paper presents a product identification using image processing and radial basis function neural networks. …”
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Immersive AR pet game with hand motion
Published 2023“…ARCore, Unity and ManoMotion will be the primary game development tools. …”
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Final Year Project / Dissertation / Thesis -
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QUANTITATIVE SCHLIEREN MEASUREMENT OF 3 DIMENSIONAL TEMPERATURE, CONCENTRATION AND VELOCITY FIELDS IN A GAS FLOW
Published 2011“…The developed deflection vector estimation algorithm and optical tomography served as a tool to extract the index of refraction of the gaseous fields. …”
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Content-based indexing of low resolution documents
Published 2016“…The proposed identification and indexing method in the thesis uses a Visual Signature (VS). …”
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Detection of sweetness level for fruits (watermelon) with machine learning
Published 2020“…The objective of this work is to investigate the sweetness parameter for the fruit’s detection and classification algorithm in machine learnings. This study applies image processing techniques to detect the color and shape of watermelon’s skin for grading based on the sweetness level using K-means clustering method via the Python platform. 13 samples of watermelon images are used to test the functionality of the proposed detection system in this study. …”
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Proceeding Paper -
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Vibration-based structural damage detection and system identification using wavelet multiresolution analysis / Seyed Alireza Ravanfar
Published 2017“…Therefore, Structural Health Monitoring (SHM) is a crucial tool for identifying the presence and the evolution of possible damage. …”
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Fiducial registration error as a statistical process control metric in image-guidance radiotherapy with fiducial markers
Published 2011“…Portal imaging of implanted fiducial markers has been in use for image-guided radiotherapy (IGRT) of prostate cancer, with ample attention to localization accuracy and organ motion. The geometric uncertainties in point-based rigid-body matching algorithms during localization of prostate fiducial markers can be quantified in terms of a fiducial registration error (FRE). …”
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