Search Results - (( motion detection means algorithm ) OR ( text classification using algorithm ))*
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Detection and classification of moving objects for an automated surveillance system
Published 2006“…A completely automated system means a computer will perforin the entire task from low level detection to higher level motion analysis. …”
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Thesis -
2
Detection and classification of moving objects for an automated surveillance system
Published 2006“…A completely automated system means a computer will perforin the entire task from low level detection to higher level motion analysis. …”
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Thesis -
3
Spectral Estimation And Supervised Classification Technique For Real Time Electromyography Pattern Recognition
Published 2018“…Subsequently,the filtered signal containing useful information was extracted by three methods root mean square (RMS),mean absolute value (MAV),and autoregressive (AR) covariance,all of which are commonly used in TD.A comparative analysis of the three different techniques was performed based on the accuracy performance of the EMG pattern classification using linear vector quantization (LVQ) neural network.In the experimental work undertaken,six healthy subjects comprised of males and females were selected. …”
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Thesis -
4
DEVELOPMENT OF MOTION ANALYSIS IN CROWDED SCENES FOR REAL TIME VIDEO SURVEILLANCE
Published 2019“…In this project, Matlab software were used for the development of algorithm to detect crowd as well as motion detection. …”
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Final Year Project -
5
Digital Analysis of Badminton Athlete Motion
Published 2015“…The training system can be used by the coach and/or biomechanics to analyse the performance of the athletes. The motion detection of the athlete is captured by means of Kinect skeleton tracking algorithm that tracks up to 20 joints of the body including their x-axis, y-axis and z-axis coordinates. …”
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Conference or Workshop Item -
6
Robust remote heart rate estimation from multiple asynchronous noisy channels using autoregressive model with Kalman filter
Published 2019“…Moreover, we investigate the behavior of our algorithm under challenging conditions including the subject's motions and illumination variation, which shows that our algorithm can reduce the influences of illumination interference and rigid motions significantly. …”
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Article -
7
Design and optimization of Levenberg-Marquardt based Neural Network Classifier for EMG signals to identify hand motions
Published 2013“…This paper presents an application of artificial neural network for the classification of single channel EMG signal in the context of hand motion detection. Seven statistical input features that are extracted from the preprocessed single channel EMG signals recorded for four predefined hand motions have been used for neural network classifier. …”
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Article -
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Detection and Classification of Moving Objects for an Automated Surveillance System
Published 2006“…A completely automated system means a computer will perform the entire task from low level detection to higher level motion analysis. …”
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Thesis -
9
Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs
Published 2017“…The proposed framework has also been compared with existing stateof- the-art detection algorithms. Experimental results show that MDMRBF outperforms these algorithms with precision and recall being 94% and 89%, respectively. …”
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Thesis -
10
Vibration-based structural damage detection and system identification using wavelet multiresolution analysis / Seyed Alireza Ravanfar
Published 2017“…This resulted in the high accuracy of the damage detection algorithm. The second proposed method seeks to identify damage in the structural parameters of linear and nonlinear systems. …”
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Thesis -
11
Fetal heart rate monitoring during pregnancy for assessing the well-being of the fetus
Published 2018“…The resulting average accuracy is 83% for the FHR detection. The detection of the FHR from the maternal abdominal signal by the developed algorithm has also been compared with a short-term monitoring commercial instrument IFM-500 for the assessment of the reliability of the algorithm. …”
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Article -
12
Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus
Published 2017“…The resulting average accuracy is 83% for the FHR detection. The detection of the FHR from the maternal abdominal signal by the developed algorithm has also been compared with a short-term monitoring commercial instrument IFM-500 for the assessment of the reliability of the algorithm. …”
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Proceeding Paper -
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Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus
Published 2018“…The resulting average accuracy is 83% for the FHR detection. The detection of the FHR from the maternal abdominal signal by the developed algorithm has also been compared with a short-term monitoring commercial instrument IFM-500 for the assessment of the reliability of the algorithm. …”
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Article -
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Rain streak removal using emboss and spatial-temporal depth filtering technique in video keyframes
Published 2012“…The results obtained were satisfying, where the algorithm were able to detect and remove the rain streaks without losing the aliveness of the scene. …”
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Thesis -
15
Enhanced ontology-based text classification algorithm for structurally organized documents
Published 2015“…This research combines the ontology and text representation for classification by developing five algorithms. …”
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Thesis -
16
Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus
Published 2017“…The resulting average accuracy is 83% for the FHR detection. The detection of the FHR from the maternal abdominal signal by the developed algorithm has also been compared with a short-term monitoring commercial instrument IFM-500 for the assessment of the reliability of the algorithm. …”
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Article -
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Text Extraction Algorithm for Web Text Classification
Published 2010“…This study provides a text extraction algorithm for web text classification. …”
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Thesis -
18
Utilizing artificial bee colony algorithm as feature selection method in Arabic text classification
Published 2023“…One of the widely used algorithms for feature selection in text classification is the Evolutionary algorithm . …”
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