Search Results - (( based application method algorithm ) OR ( frames extraction method 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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    Article
  2. 2
  3. 3

    A wavelet based watermarking algorithm for video by Hussin, Saleh, Babakr, Elsadig, Ramli, Abd Rahman, Al-Hadad, Sayed R.

    Published 2005
    “…In this algorithm, to achieve better imperceptibility and robustness a binary image watermark is inserted into the middle frequency subband coefficients of the blue component of the video frame. …”
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    Conference or Workshop Item
  4. 4

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

    Published 2020
    “…This method is capable to shorten the process time of the computation-intensive program in this research to process the live images frame by frame, which received from a laptop webcam to achieve real-time video processing. …”
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    Final Year Project / Dissertation / Thesis
  7. 7

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

    Published 2012
    “…This problem is addressed by proposing an accurate and robust centerline extraction method. Starting at each detected seed point, the centerline extraction method utilizes eigenvalues and eigenvectors of Hessian matrix for the pixels located on a semi-circular scanning profile for robust estimation of the next centerline point. …”
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    Thesis
  8. 8

    Gender identification of children using hidden Markov model based on Mel-frequency cepstral coefficient / Adira Ibrahim by Adira, Ibrahim

    Published 2013
    “…Mel Frequency Cepstral Coefficient (MFCC) was applied as the feature extraction method. HMM was trained with Baum-Welch algorithm and tested with Viterbi algorithm to get the gender identification accuracy. …”
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    Thesis
  9. 9

    Multiform Frame Shape Extraction Using Neighbouring Pixel Be-Haviors For Mushaf Al-Quran by Radzid, Amirul Ramzani, Azmi, Mohd Sanusi, A. Jalil, Intan Ermahani, Nordin, Radzuan, Arbain, Nur Atikah

    Published 2019
    “…The accuracy of the result of the proposed algorithm depends on the noise of the images. The proposed method may contribute to the development of applications related to Optical Character Recognition (OCR).…”
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    Article
  10. 10

    A survey on 2d object tracking in digital video by Khobragade, A.S., Dethe, C.G., Kulat, K.D.

    Published 2009
    “…This paper presents object tracking methods in video.Different algorithms based on rigid, non rigid and articulated object tracking are studied. …”
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    Conference or Workshop Item
  11. 11

    Robust vision-based multiple moving object detection and tracking from video sequences by Khalifa, Othman Omran, Abdul Malek, Norun, Ahmed, Kazi Istiaque, Abdul Rahman, Farah Diyana

    Published 2018
    “…This paper illustrates the way to detect multiple objects using background subtraction methods and extract each object features by using Speed-Up Robust Feature algorithm and track the features through k-Nearest Neighbor processing from different surveillance videos sequentially. …”
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  12. 12

    ANALYSIS OF CLASSIFICATION PROCESS FOR VIDEO SCENE UNDERSTANDING by MOHD RASHDAN, NURUL FARAH

    Published 2019
    “…The process starts with human action video obtained from KTH dataset as the input for video processing. In the frame process, important information will be extracted from the video images accordance to frame sequence where Spatial Temporal -Interest-Point (STIP) is used based on Harris’ Corner detection. …”
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    Final Year Project
  13. 13

    A hybrid method for endocardial contour extraction of right ventricle in 4-slices from 3D echocardiography dataset by Dawood, Faten Abed Ali, O. K. Rahmat, Rahmita Wirza, Kadiman, Suhaini, Abdullah, Lili Nurliyana, Dimon, Mohd Zamrin

    Published 2014
    “…This paper presents a hybrid method to extract endocardial contour of the right ventricular (RV) in 4-slices from 3D echocardiography dataset. …”
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    Article
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  15. 15

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

    Published 2005
    “…The important contribution of this study is the development of vehicle lane detection and tracking algorithm based on colour cue segmentation, Canny edge detection and Hough transform. …”
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    Thesis
  16. 16

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

    Published 2005
    “…The important contribution of this study is the development of vehicle lane detection and tracking algorithm based on colour cue segmentation, Canny edge detection and Hough transform. …”
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    Thesis
  17. 17

    Tracking and indexing moving object in multitude environment by Abdul Kadir, Muhd. Khairulzaman

    Published 2007
    “…The complexity also is more complicated if it involves moving object occlusion and illuminations change in the image frame. In this tracking and indexing system, background subtraction model for each frame is being used for extracting the moving object from the background. …”
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    Thesis
  18. 18

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

    Published 2006
    “…Finally, classification algorithm that makes use of the extracted moment values from the detected objects successfully categorize objects into pre-defined classes of human and vehicle with 89.08% of accuracy. …”
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    Thesis
  19. 19

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

    Published 2006
    “…Finally, classification algorithm that makes use of the extracted moment values from the detected objects successfully categorize objects into pre-defined classes of human and vehicle with 89.08% of accuracy. …”
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    Thesis
  20. 20

    BRISK local corner keypoints based hand position estimation for hand gesture trajectory tracking method by Thabet, Eman, Khalid, Fatimah, Sulaiman, Putri Suhaiza, Yaakob, Razali

    Published 2017
    “…The proposed method uses corner keypoints of BRISK and minimum eigenvalue techniques extracted from last segmented region of hand to create searching windows and estimate hand region position on current frame image of video sequences. …”
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    Article