Search Results - motion extraction ((((method algorithm) OR (means algorithm))) OR (path algorithm))
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1
Robust remote heart rate estimation from multiple asynchronous noisy channels using autoregressive model with Kalman filter
Published 2019“…The results of three experiments demonstrate that our algorithm substantially outperforms all previous methods. …”
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Article -
2
Feature extraction: hand shape, hand position and hand trajectory path
Published 2011“…Algorithms have been developed for extracting these features after segmenting the head and the two hands. …”
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Book Chapter -
3
The classification of wink-based eeg signals by means of transfer learning models
Published 2021“…This study aimed to explore the performance of different pre-processing methods, namely Fast Fourier Transform, Short-Time Fourier Transform, Discrete Wavelet Transform, and Continuous Wavelet Transform (CWT) that could allow TL models to extract features from the images generated and classify through selected classical ML algorithms . …”
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Thesis -
4
Fetal heart rate monitoring during pregnancy for assessing the well-being of the fetus
Published 2018“…A filtering technique has been utilized in the proposed algorithm to extract the fetal signal from the maternal abdominal signal. …”
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5
Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus
Published 2017“…A filtering technique has been utilized in the proposed algorithm to extract the fetal signal from the maternal abdominal signal. …”
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Proceeding Paper -
6
Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus
Published 2018“…A filtering technique has been utilized in the proposed algorithm to extract the fetal signal from the maternal abdominal signal. …”
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7
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 -
8
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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9
Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus
Published 2017“…A filtering technique has been utilized in the proposed algorithm to extract the fetal signal from the maternal abdominal signal. …”
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10
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 -
11
Fast adaptive motion estimation search algorithm for H.264 encoder
Published 2012“…Motion estimation is a technique of video compression and video processing applications; it extracts motion information from the video sequence. …”
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12
A new search and extraction technique for motion capture data
Published 2008“…Results from the experiments show that matching motion files were successfully extracted from the motion capture library using the new algorithm based on different human body segments.…”
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Thesis -
13
Artifact identification for blood pressure and photoplethysmography signals in an unsupervised environment / Lim Pooi Khoon
Published 2020“…In this study, an automated artifact detection algorithm was developed for Blood Pressure and PPG signals. …”
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Thesis -
14
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 -
15
Efficient NASNetMobile-enhanced Vision Transformer for weakly supervised video anomaly detection
Published 2026“…Second, we employed a pretrained, low-parameter NASNetMobile algorithm that efficiently extracts fine-grained local spatial details. …”
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16
A vision-based deep learning approach for non-contact vibration measurement using (2+1)D CNN and optical flow
Published 2025“…An optical flow-based preprocessing algorithm synchronized motion features in recorded video inputs with measured vibration labels, improving measurement accuracy. …”
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Motion detection using Horn-Schunck optical flow
Published 2012“…This system is design to detect motion in a crowd using one of the optical flow algorithms, Horn-Schunck method. …”
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Conference or Workshop Item -
18
Particle swarm optimization with deep learning for human action recognition
Published 2021“…This decreases the detection efficiency and degrades the target tracking output. Also, the current motion target detection algorithms extract features from the relevant object only if the moving object has complex texture features. …”
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19
A method for motion tracking of ventricular endocardial surface
Published 2014“…The present invention relates to a method for automatic motion tracking of ventricular endocardial surface in three dimensional (3D) echocardiography, characterized by the steps of extracting a plurality of ventricular endocardial contours over a complete cardiac cycle; identifying a plurality of landmarks on each ventricular endocardial contour; measuring displacement vector flow (DVF) for each landmark by comparing a pair of consecutive ventricular endocardial contours; measuring velocity vector flow (VVF) for each landmark from end-diastolic (ED) to end-systolic (ES) and vice versa; identifying at least four landmarks from the plurality of landmarks on each ventricular endocardial contour to represent anatomical landmarks of left lateral surface, right lateral surface, inferior wall and anterior wall by using geometrical distance calculation (GDC) algorithm; analysing ventricular endocardial motion direction using a fuzzy logic analyzer (FLA) for the four landmarks identified; updating values of the displacement vector flow (DVF) and velocity vector flow (VVF) based on the ventricular endocardial motion direction; and generating graphical curves of time versus values of the displacement vector flow (DVF) and velocity vector flow (VVF) for the four landmarks identified.…”
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Patent -
20
Design and performance analysis of artificial neural network for hand motion detection from EMG signals
Published 2013“…The conventional and most effective time and timefrequency based features are extracted and normalized. The neural network has been trained with the normalized feature set with supervised learning method. …”
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