Search Results - (( using interactive method algorithm ) OR ( basic detection method algorithm ))
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Human Spontaneous Emotion Detection System
Published 2018“…Having smart computerized system which can understand and instantly gives appropriate response to human is the utmost motive in human and computer interaction (HCI) field.It is argued either HCI is considered advance if human could not have natural and comfortable interaction like human to human interaction.Besides,despite of several studies regarding emotion detection system, current system mostly tested in laboratory environment and using mimic emotion.Realizing the current system research lack of real life or genuine emotion input,this research work comes up with the idea of developing a system that able to recognize human emotion through facial expression.Therefore,the aims of this study are threefold which are to enhance the algorithm to detect spontaneous emotion,to develop spontaneous facial expression database and to verify the algorithm performance.This project used Matlab programming language,specifically Viola Jones method for features tracking and extraction,then pattern matching for emotion classification purpose.Mouth feature is used as main features to identify the emotion of the expression.For verification purpose,the mimic and spontaneous database which are obtained from internet,open source database or novel (own) developed databases are used.Basically,the performance of the system is indicated by emotion detection rate and average execution time.At the end of this study,it is found that this system is suitable for recognizing spontaneous facial expression (63.28%) compared to posed facial expression (51.46%).The verification even better for positive emotion with 71.02% detection rate compared to 48.09% for negative emotion detection rate.Finally,overall detection rate of 61.20% is considered good since this system can execute result within 3s and use spontaneous input data which known as highly susceptible to noise.…”
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Thesis -
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Mean of correlation method for optimization of affective states detection in children
Published 2018“…In this paper, a non-invasive, contactless, and less distraction method is proposed to measure the physiological cues of the subjects using their thermal imprints from frontal face imaging. …”
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Multiview face emotion recognition using geometrical and texture features
Published 2017“…This enables us to determine the emotion in real-time from the face of a person. Basically, the contributions are that the method is capable of detecting the face and facial landmarks in the live video; the landmark detection on the face is done automatically in each frame using both texture of facial points and relative positions of points on the face. …”
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Model of Improved a Kernel Fast Learning Network Based on Intrusion Detection System
Published 2019“…As network attackers keep changing their methods of attack execution to evade the deployed intrusion-detection systems (IDS), machine learning (ML) algorithms have been introduced to boost the performance of the IDS. …”
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Cars detection in stitched image using morphological approach
Published 2017“…The performance of the proposed cars detection algorithm could detect the cars fairly accurate. …”
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Final Year Project Report / IMRAD -
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The effect of different distance measures in detecting outliers using clustering-based algorithm for circular regression model
Published 2017“…In this study, we proposed multiple outliers detection in circular regression models based on the clustering algorithm. …”
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An ensemble feature selection method to detect web spam
Published 2018“…An ensemble feature selection method has been proposed in this paper to detect web spam. …”
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Enhanced algorithms for three-dimensional object interpreter
Published 2004“…The linear system is solved using bisection method of total least square approximation. Besides reducing the number of image regularities used and new method to solve the linear system, this study has proposed better solutions in terms of an enhanced thinning algorithm, a modified Freeman chain code algorithm as picture description language, and a new computational comer detection algorithm.…”
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Thalassaemia detection using CBR Algorithm via mobile device
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Undergraduates Project Papers -
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An interactive analytics approach for sustainable and resilient case studies: a machine learning perspective
Published 2023“…To show the methods applicability, this paper uses the proposed algorithm in three sustainable and resilient case studies. …”
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Web Camera Application For Motion Detection
Published 2003“…The new method to detect motion is "vision motion detection". …”
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Thesis -
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Metaheuristic-Based Neural Network Training And Feature Selector For Intrusion Detection
Published 2019“…Considering the wide success of swarm intelligence methods in optimization problems, the main objective of this thesis is to contribute to the improvement of intrusion detection technology through the application of swarm-based optimization techniques to the basic problems of selecting optimal packet features, and optimal training of neural networks on classifying those features into normal and attack instances. …”
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Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant
Published 2007“…Prior to localization of the base of young corn tree, skeletonizing operation is performed to get the basic shape of the object. Another structure of MLP trained using backpropagation algorithm is used to detect and locate the base of the young corn tree using the skeleton of the segmented image. …”
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Retrieval based on skin color to detect the malicious images
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Research Report -
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Investigate And Analysis Of Deep Learning And Machine Learning Algorithm For Face Mask Detection System
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Undergraduates Project Papers -
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INVESTIGATION OF CANNY TECHNIQUE FOR EDGE DETECTION IN IMAGE PROCESSING
Published 2004“…The aim of this project is to investigate the Canny technique for edge detection in detail. Then, a comparison of various methods for edge detection is made. …”
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Final Year Project Report / IMRAD -
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Efficient prime-based method for interactive mining of frequent patterns.
Published 2011“…The experimental results verify the efficiency of our method for interactive mining of frequent patterns. …”
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Moving detection using cellular neural network (CNN)
Published 2008“…In this paper, we proposed a simple and fast method to detect a moving object using Cellular Neural Network. …”
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Undergraduates Project Papers -
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Disparity Refinement Based on Depth Image Layers Separation for Stereo Matching Algorithms
Published 2012“…The proposed algorithm will use the disparity depth map from the stereo matching algorithm as initial disparity depth output with a basic similarity metric of SAD. …”
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