Search Results - (( frames extraction sensor algorithm ) OR ( frames detection path algorithm ))

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  1. 1

    False path identification algorithm framework for nonseparable controller-data path circuits by Shaheen, Ateeq U. R., Hussin, Fawnizu Azmadi, Hamid, Nor Hisham

    Published 2016
    “…This paper proposes an algorithm frame-work to deal with these false paths through identification for DFT test. …”
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    Conference or Workshop Item
  2. 2

    AR oriented pose matching mechanism from motion capture data by Iqbal J., Sidhu M.S., Ariff M.B.M.

    Published 2023
    “…In order to extract the exact matched pose, the frame sequence is divided into pose feature frame and skeletal data frame by the use of pose matching dance training movement recognition algorithm (PMDTMR). …”
    Article
  3. 3

    Development of obstable avoidance system for 3D robot navigation by Er, Kai Sheng

    Published 2024
    “…In conclusion, the developed algorithm enables the robot to detect obstacles that are not on the same plane as the 2D LiDAR and cannot be detected using depth camera data.…”
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    Final Year Project / Dissertation / Thesis
  4. 4

    HUMAN MOTION ANALYSIS IN VIDEO SURVEILLANCE SYSTEM by LO , TIMOTHY YIN HONG

    Published 2019
    “…A video sequence consists of sequences of frame, with the detection algorithm, these frames can be analyzed and detect any” “abnormal behavior such as crime.” …”
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    Final Year Project
  5. 5

    Intelligent auto tracking in 3D space by image processing by Al-Khateeb, Khalid A. Saeed, Awang, Mat Kamil, Khalifa, Othman Omran

    Published 2009
    “…Hence, the spherical coordinates of the target are defined and updated with every TV frame. The time development of the centroid in successive TV frames represents the real time trajectory of the target path. …”
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    Proceeding Paper
  6. 6

    Obstacle detection technique using multi sensor integration for small unmanned aerial vehicle by Ramli, Muhammad Faiz, Shamsudin, Syariful Syafiq, Legowo, Ari

    Published 2017
    “…In the experiment conducted, we successfully detect and determine a safe avoidance path for the UAV on 6 different sizes and textures of the obstacles including textureless obstacles…”
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    Article
  7. 7

    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
  8. 8

    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
  9. 9

    Safe avoidance region detection for unmanned aerial vehicle using cues from expansion of feature points by Ramli, Muhammad Faiz, Sutjipto, Agus G.E., Sulaeman, Erwin, Ari Legowo, Ari Legowo

    Published 2024
    “…A robust system should be able to not only detect obstacles but the free region for the avoidance path as well. …”
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    Conference or Workshop Item
  10. 10

    Real time tracking in 3D space by robotic vision by Al-Khateeb, Khalid A. Saeed, Dandu, Mohd Akram

    Published 2007
    “…The tracking is based on passive detection using live TV imaging. The target coordinates are determined by an image processing technique and non-linear prediction algorithm. …”
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    Proceeding Paper
  11. 11

    A reliable time base routing framework with seamless networking operation for SDN / Nauman Khan by Nauman , Khan

    Published 2024
    “…PMTRF modules and their algorithms enable the isolation of the maintenance switch and the selection of the most reliable path for future affected flows based on input time provided by the administrator. …”
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    Thesis
  12. 12

    Slam-based mapping for object recognition by Loh, Wan Ying

    Published 2018
    “…The SIFT (Scale-Invariant Feature Transform) is used to extract features from the current frame and match with the object database to identify and recognize the object whenever the robot come across the object. …”
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    Final Year Project / Dissertation / Thesis
  13. 13

    Object tracing from synthetic fluid spray through instance segmentation by Md Refat Khan, Pathan

    Published 2024
    “…The resulting objects were then analyzed using a customized nearest neighbor algorithm to calculate their correspondence between frames and a BFS algorithm was used to trace their movement path. …”
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    Thesis
  14. 14

    Design and implementation of an object-following system by using DJI Tello drone by Noordin, Aminurrashid, Ahmad, Suziana, Ab Rahman, Azhan, Lam, Shu Xuan, Mohd Basri, Mohd Ariffanan, Mat Lazim, Izzuddin, Khalifa, Mustafa Saad

    Published 2025
    “…The DJI Tello is a lightweight quadcopter equipped with a 5-megapixel camera capable of capturing 720p video at 30 frames per second. The system employs computer vision techniques, particularly Convolutional Neural Networks (CNNs), to detect and track moving objects in real time, while dynamically adjusting the drone’s flight path to maintain continuous visual contact. …”
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    Article
  15. 15

    Online teleoperation of writing manipulator through graphics processing unit based accelerated stereo vision by Abu Raid, Fadi Imad Osman

    Published 2021
    “…The proposed algorithms aim to accelerate the processes of distortion removal and rectification using precomputed combined maps. …”
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    Thesis
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    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
    “…Techniques such as Region of Interest (ROI) cropping and multi-section frame extraction were implemented to reduce computational complexity while further enhancing accuracy. …”
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    Article
  19. 19

    Analysis of performance between kinect v1 and kinect v2 for various facial part movements by Heng, Sheng Guang, Rosdiyana, Samad, Mahfuzah, Mustafa, Nor Rul Hasma, Abdullah, Pebrianti, Dwi

    Published 2019
    “…A total number of 18 desired facial feature point at similar landmarks will be extracted in the format of 3D coordinates for both Kinect cameras. …”
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    Conference or Workshop Item
  20. 20

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

    Published 2016
    “…In this study, the images has been captured using a kinect sensor based skeletal algorithms. The feature extraction was done by normalizing the position and size of the user, by taking eight out of 20 joints that contribute in identifying the movement of the hands; left hand, right hand, left wrist, right wrist, left elbow, right elbow, torso and head. …”
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    Thesis