Search Results - (( optical flow algorithm ) OR ( optical ((mode algorithm) OR (model algorithm)) ))

Refine Results
  1. 1
  2. 2
  3. 3

    Multilevel optimization for dense motion estimation by Saaban, Azizan, Kalmoun, El Mostafa, Ibrahim, Haslinda, Ramli, Razamin, Omar, Zurni

    Published 2011
    “…Experimental results on three image sequences using four models of optical flow with different computational efforts show that the FMG/Opt algorithm outperforms significantly both the TN and MR/Opt algorithms in terms of the computational work and the quality of the optical flow estimation.…”
    Get full text
    Get full text
    Get full text
    Monograph
  4. 4

    Investigation On Optical Fibre Configurations For Process Tomography by Ibrahim, Sallehuddin

    Published 2002
    “…An investigation is carried out on four flow models: a single pixel flow, two pixels flow, half flow and full flow models. …”
    Get full text
    Get full text
    Get full text
    Article
  5. 5
  6. 6

    The impact of executive function and aerobic exercise recognition in obese children under deep learning by JING, XIN, ABDULLAH, BORHANNUDIN, ABU SAAD, HAZIZI, YANG, XIANGKUN

    Published 2025
    “…Initially, a motion recognition model based on STN and Lucas–Kanade optical flow algorithm optimization was constructed. …”
    Get full text
    Get full text
    Article
  7. 7
  8. 8

    Inversion algorithm of fiber bragg grating for nanofluid flooding monitoring by Yahya, N., Nyuk, C.M., Ismail, A.F., Hussain, N., Rostami, A., Ismail, A., Ganeson, M., Ali, A.M.

    Published 2020
    “…In the current study, we developed an adaptive algorithm that can predict oil mobilization in a porous medium on the basis of optical data. …”
    Get full text
    Get full text
    Article
  9. 9

    Solid/gas concentration measurements using multiple fan beam optical tomography by Abdul Rahim, R., Leong, L.C, Chan, K.S., Fazalul Rahiman, M. H., Fang, J.F.

    Published 2008
    “…The data obtained from optical fibre sensors will then be reconstructed into image using the Linear Back Projection and Iterative Reconstruction algorithms through Visual C++ programming. …”
    Get full text
    Get full text
    Get full text
    Article
  10. 10

    QUANTITATIVE SCHLIEREN MEASUREMENT OF 3 DIMENSIONAL TEMPERATURE, CONCENTRATION AND VELOCITY FIELDS IN A GAS FLOW by IFFA, EMISHAW DANDENA IFFA

    Published 2011
    “…The results showed that for a transparent gas jet all the tested optical flow algorithms worked well. However the proposed model gave better results for BOS images taken through natural gas flames and smoke from a fog generator. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  11. 11
  12. 12

    Improved abnormal detection using self-adaptive social force model for visual surveillance by Wan Nur Azhani, W. Samsudin

    Published 2017
    “…In this work, we aim to find the significant interaction forces and detect the abnormality in the crowd by using Self-Adaptive Social Force Model. For this point, Horn-Schunck optical flow is used to get the flow vector for each pixel in the image frames. …”
    Get full text
    Get full text
    Thesis
  13. 13

    Depth value approximation of 2D complex-shape objects for 3D modelling using optical flow and trigonometry by Ng, Seng Beng

    Published 2015
    “…Feature points were detected using good features to track and the displacement magnitudes were obtained via pyramidal implementation of Lucas Kanade Optical Flow. Optical flow magnitudes were then related with trigonometry to deduct the depth values of the feature points. …”
    Get full text
    Get full text
    Thesis
  14. 14

    Human action recognition using slow feature analysis / Bardia Yousefi by Bardia, Yousefi

    Published 2016
    “…The interaction between these processing pathways is another substantial matter implied in the model. The cross-connection of the two pathways is implied throughout the present research via direct consideration, such as shared sketch algorithm and optical flow information, fuzzy max-product involvement, and scoring among each other. …”
    Get full text
    Get full text
    Thesis
  15. 15

    An adaptive block-based matching algorithm for crowd motion sequences by Kajo, I., Kamel, N., Malik, A.S.

    Published 2018
    “…However, algorithms based on optical flow and background subtraction have numerous limitations such as the complexity of the computation in the presence of high dense crowd and sudden motion changes. …”
    Get full text
    Get full text
    Article
  16. 16

    An adaptive block-based matching algorithm for crowd motion sequences by Kajo, I., Kamel, N., Malik, A.S.

    Published 2018
    “…However, algorithms based on optical flow and background subtraction have numerous limitations such as the complexity of the computation in the presence of high dense crowd and sudden motion changes. …”
    Get full text
    Get full text
    Article
  17. 17

    A survey on signal processing methods in fiber optic sensor for oxidized carbon steel by Jaafar, N.S.M., Aziz, I.A., Jaafar, J., Mahmood, A.K., Gilal, A.R.

    Published 2019
    “…We selected these two algorithms because our focus is on these methods. Firstly, this paper exhibits the inner workings of each algorithm both in the original authorsâ�� intuition and the mathematical model utilized. …”
    Get full text
    Get full text
    Article
  18. 18

    A survey on signal processing methods in fiber optic sensor for oxidized carbon steel by Jaafar, N.S.M., Aziz, I.A., Jaafar, J., Mahmood, A.K., Gilal, A.R.

    Published 2019
    “…We selected these two algorithms because our focus is on these methods. Firstly, this paper exhibits the inner workings of each algorithm both in the original authorsâ�� intuition and the mathematical model utilized. …”
    Get full text
    Get full text
    Article
  19. 19

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

    Published 2015
    “…Optical flow is the computation to approximate the image motion, while motion templates use the motionhistory- image (MHI) to keep track of the most recent movement with the timestamp. …”
    Get full text
    Get full text
    Final Year Project
  20. 20

    A vision-based deep learning approach for non-contact vibration measurement using (2+1)D CNN and optical flow by Harold Harrison, Mazlina Mamat, Farah Wong, Hoe Tung Yew, Racheal Lim, Wan Mimi Diyana Wan Zaki

    Published 2025
    “…A curated dataset was generated using a controlled experimental setup comprising a single object in a lab-scale environment, augmented synthetically to enhance frequency diversity. An optical flow-based preprocessing algorithm synchronized motion features in recorded video inputs with measured vibration labels, improving measurement accuracy. …”
    Get full text
    Get full text
    Get full text
    Article