Search Results - (( motion extraction method algorithm ) OR ( motion detection method algorithm ))

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  1. 1

    Robust remote heart rate estimation from multiple asynchronous noisy channels using autoregressive model with Kalman filter by Nooralishahi, Parham, Loo, Chu Kiong, Shiung, Liew Wei

    Published 2019
    “…The results of three experiments demonstrate that our algorithm substantially outperforms all previous methods. …”
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    Article
  2. 2

    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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    Conference or Workshop Item
  3. 3

    Particle swarm optimization with deep learning for human action recognition by Usmani, U.A., Watada, J., Jaafar, J., Aziz, I.A., Roy, A.

    Published 2021
    “…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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    Article
  4. 4

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

    Published 2006
    “…Technically, this method estimate the motion area before updates the background by taking a weighted average of non-motion area of the current background altogether with non-motion area of the current frame of the video sequence. …”
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    Thesis
  5. 5

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

    Published 2006
    “…Technically, this method estimate the motion area before updates the background by taking a weighted average of non-motion area of the current background altogether with non-motion area of the current frame of the video sequence. …”
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    Thesis
  6. 6

    Design and performance analysis of artificial neural network for hand motion detection from EMG signals by Ibrahimy, Muhammad Ibn, Ahsan, Md. Rezwanul, Khalifa, Othman Omran

    Published 2013
    “…This article represents the classification of Electromygraphy (EMG) signal for the detection of different predefined hand motions (left, right, up and down) using artificial neural network (ANN). …”
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    Article
  7. 7

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

    Published 2006
    “…Technically, this method estimate the motion area before updates the background by taking a weighted average of non-motion area of the current background altogether with non-motion area of the current frame of the video sequence. …”
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    Thesis
  8. 8

    Automated threshold detection for object segmentation in colour image by Akhtaruzzaman, Md., Shafie, Amir Akramin, Khan, Md. Raisuddin

    Published 2016
    “…In solving this issue, this paper presents an Automated Threshold Detection Algorithm, H(•). The algorithm is applied in segmenting human lower limbs from a series of image frames of human walking. …”
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    Article
  9. 9

    Multi-sensor fusion and deep learning framework for automatic human activity detection and health monitoring using motion sensor data / Henry Friday Nweke by Henry Friday , Nweke

    Published 2019
    “…First, to investigate existing multi-sensor and automatic feature extraction methods for human activity detection and health monitoring using motion sensor. …”
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    Thesis
  10. 10
  11. 11

    Fetal heart rate monitoring during pregnancy for assessing the well-being of the fetus by Ibrahimy, Muhammad Ibn

    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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    Article
  12. 12

    Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus by Ibrahimy, Muhammad Ibn

    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
  13. 13

    Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus by Ibrahimy, Muhammad Ibn

    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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    Article
  14. 14

    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
    “…The study proposes a multi-view ensemble algorithm to integrate predicted values of different motion sensors. …”
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    Article
  15. 15

    Real-time Rotation Invariant Hand Tracking Using 3D Data by Rosdiyana, Samad, M. Zabri, Abu Bakar, Pebrianti, Dwi, Nicolaas Lim, Yong Aan

    Published 2014
    “…This 3D data is coming from the Kinect sensor, which it can work in real-time. 3D data from Kinect sensor is depth image data and it can be used to detect and track the motion of hand. This paper proposes hand tracking method using hand tracker algorithm released by NiTE, hand’s segmentation method, hand contour detection and center of palm detection. …”
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    Conference or Workshop Item
  16. 16

    Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus by Ibrahimy, Muhammad Ibn

    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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    Article
  17. 17

    Finger Application Using K-Curvature Methods and Kinect Sensor in Real-time by MM. Zabri, Abu Bakar, Rosdiyana, Samad, Pebrianti, Dwi, Mahfuzah, Mustafa, Nor Rul Hasma, Abdullah

    Published 2015
    “…İn this paper, the proposed method is to detect and recognizes the fingertips by using the K-Curvature algorithm. …”
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    Conference or Workshop Item
  18. 18

    Feature extraction: hand shape, hand position and hand trajectory path by Bilal, Sara Mohammed Osman Saleh, Akmeliawati, Rini

    Published 2011
    “…Algorithms have been developed for extracting these features after segmenting the head and the two hands. …”
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    Book Chapter
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  20. 20

    Image edge detection operators based on orthogonal polynomials by Abdulhussain, Sadiq H., Ramli, Abd Rahman, Mahmmod, Basheera M., Sy Mohamed, Sy Abd Rahman Al-haddad, Jassim, Wissam A.

    Published 2017
    “…Experimental results reveal that the proposed operator achieves a more favourable interpretation, especially for images distorted by motion effects, than traditional methods do.…”
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    Article