Search Results - (( data detection method algorithm ) OR ( frames extraction using algorithm ))*

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  1. 1

    A fast feature extraction algorithm for image and video processing by Abdulhussain, Sadiq H., Ramli, Abdul Rahman, Mahmmod, Basheera M., Saripan, M. Iqbal, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Baker, Thar, Flayyih, Wameedh Nazar, Jassim, Wissam A.

    Published 2019
    “…Furthermore, the proposed method is employed for shot boundary detection (SBD) applications to detect transitions in video frames. …”
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    Conference or Workshop Item
  2. 2

    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
  3. 3

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

    Published 2020
    “…Furthermore, colour threshold analysis and edge detection algorithms are redesigned exclusively to refine the two-dimensional coefficients into a more meaningful low-level representation. …”
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    Final Year Project / Dissertation / Thesis
  4. 4

    Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking by Boroujeni, Farsad Zamani

    Published 2012
    “…The first contribution is automatic detection of seed points which serve as a prerequisite step for centerline extraction algorithm. The solution consists of an algorithm for automatic collection of candidate seed points using efficient grid line searching mechanism and a validation method which uses local geometric and intensity based features as effective validation rules to discriminate between the actual seed point and false alarms. …”
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    Thesis
  5. 5

    Image Stitching Of Aerial Footage by Ng, Wei Haen

    Published 2021
    “…ScaleInvariant Feature Transform (SIFT) approach is used to detect and describe the feature points of the extracted frames. …”
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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
    “…Therefore, uncompressed video format has been used in the research undertaken. On the other hand, a random key is used to choose the frames to be watermarked to increase the security level of the algorithm and discourage piracy. …”
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    Thesis
  7. 7

    Enhanced mechanism to handle missing data of Hadith classifier by Aldhlan, Kawther A., Zeki, Ahmed M., Zeki, Akram M.

    Published 2011
    “…Decision tree algorithms have the ability to deal with missing values or wrong data. …”
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    Proceeding Paper
  8. 8
  9. 9

    An integrated deep learning deepfakes detection method (IDL-DDM) by Yassin, Warusia, Johan, Azwan, Abas, Zuraida Abal, Baharon, Mohd Rizuan, Bejuri, Wan, Ismail, Anuar

    Published 2024
    “…In addition, the Long Short-Term Memory (LSTM) approach is applied consecutively after CNN in order to grant sequential processing of data and overcome learning dependencies. Using this learning algorithm, several facial region characteristics such as eyes, nose, and mouth are extracted and further transformed into numerical form with the intention to identify video frames more precisely. …”
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    Conference or Workshop Item
  10. 10

    Deep learning object detector using a combination of Convolutional Neural Network (CNN) architecture (MiniVGGNet) and classic object detection algorithm by Ismail, Asmida, Ahmad, Siti Anom, Che Soh, Azura, Hassan, Mohd Khair, Harith, Hazreen Haizi

    Published 2020
    “…The performance of this method can work in some specific use cases and effectively solving the problem of the inaccurate classification and detection of typical features.…”
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    Article
  11. 11

    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
  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

    Vision-Based Autonomous Vehicle Driving Control System by Isa, Khalid

    Published 2005
    “…In this subsystem, image-capturing techniques capture the video images frame by frame. After that, lane detection process extracts the information about vehicle position with respect to the highway lane. …”
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    Thesis
  14. 14

    Vision-based autonomous vehicle driving control system by Isa, Khalid

    Published 2005
    “…In this subsystem, image-capturing techniques capture the video images frame by frame. After that, lane detection process extracts the information about vehicle position with respect to the highway lane. …”
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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

    Efficient NASNetMobile-enhanced Vision Transformer for weakly supervised video anomaly detection by Arif Mohamad, Muhammad Luqman, Abd Rahman, Mohd Amiruddin, Mohd Shah, Nurisya, Kumar Sangaiah, Arun

    Published 2026
    “…Current video anomaly detection (VAD) methods struggle to prioritize informative frames and lack effective mechanisms to collect both local and global video contexts. …”
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    Article
  17. 17

    Lane markings detection based on e-maxima transformation and improved hough by Xiao, Rui

    Published 2012
    “…A short segment of a long curve with a relatively low curvature is approximated as a straight line, based on this point, the important contribution of this thesis presents a lane detection algorithm using E-MAXIMA transformation and improved Hough transform which is the algorithm with great efficiency, high robustness and also at low cost to detect road lane markings. …”
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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

    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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    Article
  20. 20

    Internal defect detection and reconstruction framework for laminated glass fibre reinforced polymer composite materials by Ng, Sok Choo

    Published 2013
    “…Therefore, an advanced signal processmg technique is necessary to manage large data sets and to extract suitable features for effective internal defect detection. …”
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    Thesis