Search Results - (( frames extraction selection algorithm ) OR ( java adaptation optimization algorithm ))

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  1. 1

    An Improved Action Key Frames Extraction Algorithm for Complex Colour Video Shot Summarization by Mizher, Manar Abduljabbar Ahmad, Ang, Mei Choo, Sheikh Abdullah, Siti Norul Huda, Kok, Weng Ng

    Published 2019
    “…The objective of this work is to improve our previous action key frames extraction algorithm (AKF) by adapting a threshold which selects action key frames as final key frames. …”
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  2. 2
  3. 3

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

    Published 2016
    “…The procedure starts with selection of optimal RGB channel. Then H(•) algorithm is applied for automated threshold detection to convert the image frames into grayscale image. …”
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  4. 4

    Image classification using two dimensional wavelet coefficients with parallel computing by Ong, Yew Fai

    Published 2020
    “…Whenever an area with the similar characteristic is verified in the next frame, the area will be identified and bounded with a rectangle through the object recognition algorithm of the research. …”
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    Final Year Project / Dissertation / Thesis
  5. 5

    Video surveillance: Item monitoring against theft by Chong, Yiing Sheah

    Published 2023
    “…After that, the system will get the current frame to find the common features with the background frame by using a feature matching algorithm. …”
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    Final Year Project / Dissertation / Thesis
  6. 6

    Development Of A Robust Blind Digital Video Watermarking Algorithm Using Discrete Wavelet Transform by Al-Deen, Ahmed A. Baha'a

    Published 2007
    “…A mid-band discrete wavelet transform coefficients of the selected frames are chosen to be the hosted region in the frequency domain. …”
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    Thesis
  7. 7

    NN with DTW-FF Coefficients and Pitch Feature for Speaker Recognition by Sudirman, Rubita, Salleh, Sh-Hussain, Salleh, Shaharuddin

    Published 2006
    “…The new method presented in this paper described how the LPC feature is extracted and those coefficients are normalized against the template pattern according to the selected average number of frames over the samples collected. …”
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  8. 8

    Building a feature-space for visual surveillance by Altahir, A.A., Asirvadam, V.S.

    Published 2014
    “…The future of visual surveillance applications relies on the developments in the area of computer vision, human motion analysis and computer algorithms. This paper considers objects low level feature selection and extraction from video frames in order to construct a feature space for visual surveillance applications. …”
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    Conference or Workshop Item
  9. 9

    Shunt active power filter with modified synchronous reference frame technique and fuzzy logic current controller for harmonic mitigation by Suleiman, Musa

    Published 2017
    “…From both results, the proposed algorithms show good performances when compared with the conventional algorithms. …”
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    Thesis
  10. 10

    Identifying and detecting unlawful behavior in video images using genetic algorithm / Shahirah Mohamed Hatim by Mohamed Hatim, Shahirah

    Published 2016
    “…Two types of selection parameter namely tournament selection (TOS) and random permutation selection (RPS) are chosen. …”
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    Thesis
  11. 11

    Improving invisibility of blind video watermarking scheme by Al-Deen, Ahmed A. Baha'a, Ramli, Abdul Rahman, Marhaban, Mohammad Hamiruce, Mashohor, Syamsiah

    Published 2007
    “…A mid-band discrete wavelet transform coefficients of the selected frames are chosen to be the hosted region in the frequency domain. …”
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    Conference or Workshop Item
  12. 12

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

    Published 2006
    “…Moving object is detected by using combination of two frame differencing and adaptive image averaging with selectivity. …”
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    Thesis
  13. 13

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

    Published 2006
    “…Moving object is detected by using combination of two frame differencing and adaptive image averaging with selectivity. …”
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    Thesis
  14. 14

    Development Of Vehicle Tracking And Counting System From Traffic Surveillance Video by Kueh , Chiung Lin

    Published 2015
    “…Simple tracking and counting algorithm is used to track and count the detected vehicle. …”
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    Thesis
  15. 15

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

    Published 2006
    “…Moving object is detected by using combination of two frame differencing and adaptive image averaging with selectivity. …”
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    Thesis
  16. 16

    Correlation-based subset evaluation of feature selection for dynamic Malaysian sign language by Sutarman, .

    Published 2016
    “…Feature selection potential is used in SLR. Currently, there is no research work that used Feature Selection on Sign Language Recognition. …”
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    Thesis
  17. 17

    Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

    Published 2017
    “…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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    Thesis
  18. 18

    Frontal View Gait Recognition With Fusion of Depth Features From a Time of Flight Camera by Tengku Mohd Afendi, Zulcaffle, Fatih, Kurugollu, Crookes, Danny, Ahmed, Bouridane, Mohsen, Farid

    Published 2019
    “…The four-part method includes: a new human silhouette extraction algorithm that reduces the multiple reflection problem experienced by ToF cameras; a frame selection method based on a new gait cycle detection algorithm; four new gait image representations; and a novel fusion classifier. …”
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    Article
  19. 19

    Development of sorting system for oil palm in vitro shoots using machine vision approach by Al-Ruhaimi, Hamdan Yahya Ahmed

    Published 2014
    “…The result of K-means has proven the robustness of the selected features. The resulting error of offline tests of the sorting algorithm did not exceed 4.33 per cent. …”
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    Thesis
  20. 20

    Frontal view gait recognition with fusion of depth features from a time of flight camera by Tengku Mohd Afendi, Zulcaffle, Kurugollu, F., Crookes, D., Bouridane, A., Farid, M.

    Published 2018
    “…The four-part method includes: A new human silhouette extraction algorithm that reduces the multiple reflection problem experienced by ToF cameras; a frame selection method based on a new gait cycle detection algorithm; four new gait image representations; and a novel fusion classifier. …”
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