Search Results - (( motion detection based algorithm ) OR ( level classification system algorithm ))

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  1. 1
    Detection and Classification of Moving Objects for an Automated Surveillance System

    Detection and Classification of Moving Objects for an Automated Surveillance System by Md. Tomari, Mohd Razali

    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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  2. 2
    Detection and classification of moving objects for an automated surveillance system

    Detection and classification of moving objects for an automated surveillance system by Md Tomari, Mohd Razali

    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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  3. 3
    Detection and classification of moving objects for an automated surveillance system

    Detection and classification of moving objects for an automated surveillance system by Md Tomari, Mohd Razali

    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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  4. 4
    Multi-sensor fusion based on multiple classifier systems for human activity identification

    Multi-sensor fusion based on multiple classifier systems for human activity identification by Nweke, Henry Friday, Teh, Ying Wah, Mujtaba, Ghulam, Alo, Uzoma Rita, Al-garadi, Mohammed Ali

    Published 2019
    “…To this end, computationally efficient classification algorithms such as decision tree, logistic regression and k-Nearest Neighbors were used to implement diverse, flexible and dynamic human activity detection systems. …”
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  5. 5
    Spectral Estimation And Supervised Classification Technique For Real Time Electromyography Pattern Recognition

    Spectral Estimation And Supervised Classification Technique For Real Time Electromyography Pattern Recognition by Burhan, Nuradebah

    Published 2018
    “…Electromyography (EMG) signal is a biomedical signal which measures physical activity of human muscle.It has been acknowledged to be widely used in rehabilitation or recovery application system assisting physiotherapist to monitor a patient’s physical strength,function,motion and overall well-being by addressing the underlying physical issues.In application system associated with rehabilitation,a signal processing and classification techniques are implemented to classify EMG signal obtained.For real time application in the rehabilitation, the classification is crucial issue.The success of the signal classification depends on the selection of the features that represent a raw EMG signal in the signal processing.Therefore,a robust and resilient denoising method and spectral estimation technique have been acknowledged as necessary to distinguish and detect the EMG pattern.The present study was undertaken to determine the characteristic of EMG features using denoising method and spectral estimation technique for assessing the EMG pattern based on a supervised classification algorithm.In the study,the combination of time-frequency domain (TFD) and time domain (TD) were identified as the preferred denoising method and spectral estimation techniques.In the first part of study, the recorded EMG signal filtered the contaminated noise by using wavelet transform (WT) approach which implemented discrete wavelet transform (DWT) method of the wavelet-denoising signal. …”
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  6. 6
    MotionSure: a cloud-based algorithm for detection of injected object in data in motion

    MotionSure: a cloud-based algorithm for detection of injected object in data in motion by Islam, Thouhedul, Olanrewaju, Rashidah Funke, Khalifa, Othman Omran

    Published 2017
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  7. 7
    Vision-based flame analysis using motion and Edge Detection

    Vision-based flame analysis using motion and Edge Detection by Razmi, Suzilawati Mohd, Saad, Nordin, Asirvadam, Vijanth Sagayan

    Published 2010
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  8. 8
    Analysis of Motion Detection of Breast Tumor Based on Tissue Elasticity From B Mode Ultrasound Images Using Gradient Method Optical Flow Algorithm

    Analysis of Motion Detection of Breast Tumor Based on Tissue Elasticity From B Mode Ultrasound Images Using Gradient Method Optical Flow Algorithm by Shuib, FMM, Abdulrahim, K, Zulkifli, Z, Marinah Othman

    Published 2024
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  9. 9
    Vision-based flame detection: Motion detection amp; fire analysis

    Vision-based flame detection: Motion detection amp; fire analysis by Mohd Razmi, S., Saad , Nordin, Asirvadam , Vijanth Sagayan

    Published 2010
    “…It is very crucial to develop a reliable method to detect an occurrence of fire. In this paper, vision-based flame detection using motion detection algorithm is discussed. …”
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  10. 10
    An FPGA based embedded vision system for real-time motion detection

    An FPGA based embedded vision system for real-time motion detection by AlDahoul, Nouar, Htike@Muhammad Yusof, Zaw Zaw

    Published 2015
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  11. 11
    Real-time measurement and gait detection algorithm for motion control of active ankle foot orthosis / Aminuddin Hamid

    Real-time measurement and gait detection algorithm for motion control of active ankle foot orthosis / Aminuddin Hamid by Hamid, Aminuddin

    Published 2015
    “…This thesis proposes a real time gait phase detection system to control AAFO for rehabilitation and assist ankle motion. …”
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  12. 12
    Analysis of motion detection of breast tumor based on tissue elasticity from B mode ultrasound images using gradient method optical flow algorithm

    Analysis of motion detection of breast tumor based on tissue elasticity from B mode ultrasound images using gradient method optical flow algorithm by Shuib F.M.M., Othman, M., Abdul Rahim, K., Zulkifli Z.

    Published 2024
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  13. 13
    A real-time vision-based touchless interaction of virtual heart using integration of motion gesture interaction methods

    A real-time vision-based touchless interaction of virtual heart using integration of motion gesture interaction methods by Ng, Ing Kye

    Published 2014
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    Academic Exercise
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  14. 14
    Video Object Avoidance Implementation on Embedded Platform

    Video Object Avoidance Implementation on Embedded Platform by Keat, Yeong Ming

    Published 2015
    “…In this project, there are two motion detection techniques being studied, namely optical flow and motion templates. …”
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  15. 15
    Fish Motion Trajectories Detection Algorithm Based on Spiking Neural Network (S/O: 12893)

    Fish Motion Trajectories Detection Algorithm Based on Spiking Neural Network (S/O: 12893) by Yusoff, Nooraini, Yusof, Yuhanis, Siraj, Fadzilah, Ahmad, Farzana Kabir

    Published 2017
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  16. 16
    Motion detection using Horn-Schunck optical flow

    Motion detection using Horn-Schunck optical flow by Wan Nur Azhani, W. Samsudin, Kamarul Hawari, Ghazali

    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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  17. 17
    Video surveillance: explosion detection

    Video surveillance: explosion detection by Lee, Shao Yuan

    Published 2025
    “…By leveraging three motion-based variables, including motion ratio, new pixel ratio and optical flow values, together with three detection approaches, namely global detection, non-eroded detection and eroded detection, the system demonstrates the effectiveness of motion based methods in detecting explosions at an early stage with acceptable performance. …”
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  18. 18
    Singular value determination for IR-UWB radar sensor-based human motion detection

    Singular value determination for IR-UWB radar sensor-based human motion detection by Terence Jerome Daim, Razak Mohd Ali Lee

    Published 2021
    “…Human motion detection is a method of identification where various techniques and equipment are combined to distinguish human motion. …”
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  19. 19
    Depth frame loss concealment for wireless transmission utilising motion detection information

    Depth frame loss concealment for wireless transmission utilising motion detection information by Ranjbari, Mohamadreza

    Published 2014
    “…Two concealment methods, namely Decision Making based on Pixel Value (DM-PV) and Depth Frame Concealment based on Motion Detection (DFC-MD) are proposed to conceal the depth frame loss in the 3D video transmission. …”
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  20. 20
    Design and optimization of Levenberg-Marquardt based Neural Network Classifier for EMG signals to identify hand motions

    Design and optimization of Levenberg-Marquardt based Neural Network Classifier for EMG signals to identify hand motions by Ibrahimy, Muhammad Ibn, Ahsan, Md. Rezwanul, Khalifa, Othman Omran

    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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