Search Results - (( frames detection method algorithm ) OR ( frames estimation using algorithm ))

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  1. 1
    Investigation of block matching algorithm for video coding

    Investigation of block matching algorithm for video coding by Faizul Hadi Mohamad Jamil

    Published 2013
    “…The temporal model deals with motion estimation (ME) and motion compensation (MC) algorithm with the matching technique called “Block Matching Algorithm” (BMA) to produce the next encoded video frame with motion vector. …”
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  2. 2
    Drone Based People Counter And Tracking Using Unique Id Using Opencv Python

    Drone Based People Counter And Tracking Using Unique Id Using Opencv Python by Bhaskar, Hariyaran

    Published 2020
    “…The algorithm is developed so that it is capable to detect various objects by applying a bounding box on the frame image. …”
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    Monograph
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  3. 3
    Improved abnormal detection using self-adaptive social force model for visual surveillance

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

    Published 2017
    “…For this point, Horn-Schunck optical flow is used to get the flow vector for each pixel in the image frames. …”
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  4. 4
    Image Stitching Of Aerial Footage

    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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  5. 5
    Social Distancing Detection with Deep Learning Model

    Social Distancing Detection with Deep Learning Model by Hou Y.C., Baharuddin M.Z., Yussof S., Dzulkifly S.

    Published 2023
    Conference Paper
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  6. 6
    Pose estimation algorithm for mobile Augmented Reality based on inertial sensor fusion

    Pose estimation algorithm for mobile Augmented Reality based on inertial sensor fusion by Alam, Mir Suhail, Morshidi, Malik Arman, Gunawan, Teddy Surya, Olanrewaju, Rashidah Funke, Arifin, Fatchul

    Published 2021
    “…The algorithm used for feature detection and description is Oriented-FAST Rotated-BRIEF (ORB), whereas to evaluate the homography for pose estimation, Random Sample Consensus (RANSAC) is used. …”
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  7. 7
    Evaluation of reference signal estimation techniques for the control of shunt active power filter

    Evaluation of reference signal estimation techniques for the control of shunt active power filter by Atan N.B., Yunus B.B.

    Published 2023
    “…The reference current to be detected from the load current and processed by the active power filter controller is obtained from two different control algorithms, namely the Instantaneous Reactive Power Theory (PQ Theory) and Synchronous Reference Frame Theory (SRF Theory). …”
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  8. 8
    Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking

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

    Published 2012
    “…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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  9. 9
    Vision-Based Hand Detection and Tracking Using Fusion of Kernelized Correlation Filter and Single-Shot Detection

    Vision-Based Hand Detection and Tracking Using Fusion of Kernelized Correlation Filter and Single-Shot Detection by Mohd, Mohd Norzali Haji, Mohd Asaari, Mohd Shahrimie, Ong Lay Ping, Ong Lay Ping, Bakhtiar Affendi Rosdi, Bakhtiar Affendi Rosdi

    Published 2023
    “…A novel algorithm is proposed by combining the Kernelized Correlation Filter (KCF) tracker with the Single-Shot Detection (SSD) method. …”
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  10. 10
    Detection and Classification of Moving Objects for an Automated Surveillance System

    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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  11. 11
    Detection and classification of moving objects for an automated surveillance system

    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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  12. 12
    Detection and classification of moving objects for an automated surveillance system

    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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  13. 13
    Capture and estimate the speed of the object for remote monitoring / Nor Sajidah Ab Ghani

    Capture and estimate the speed of the object for remote monitoring / Nor Sajidah Ab Ghani by Ab Ghani, Nor Sajidah

    Published 2016
    “…The optical flow used Kanade Lucas Algorithm method to track the vehicle movement in the video. …”
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  14. 14
    Vision-Based Hand Detection and Tracking Using Fusion of Kernelized Correlation Filter and Single-Shot Detection

    Vision-Based Hand Detection and Tracking Using Fusion of Kernelized Correlation Filter and Single-Shot Detection by Haji Mohd, Mohd Norzali, Mohd Asaar, Mohd Shahrimie, Ong Lay Ping, Ong Lay Ping, Rosdi, Bakhtiar Affendi

    Published 2023
    “…A novel algorithm is proposed by combining the Kernelized Correlation Filter (KCF) tracker with the Single-Shot Detection (SSD) method. …”
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  15. 15
    Obstacle detection technique using multi sensor integration for small unmanned aerial vehicle

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

    Published 2017
    “…Next, SURF algorithm is applied to find the obstacle sizes estimation by searching the connecting feature points in the image frame. …”
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  16. 16
    An efficient method for detecting covered face scenarios in ATM surveillance camera

    An efficient method for detecting covered face scenarios in ATM surveillance camera by Sikandar, Tasriva, W. Nur Azhani, W. Samsudin, Mohammad Fazle, Rabbi, Kamarul Hawari, Ghazali

    Published 2020
    “…The detection time varies between 31 and 67 ms which is equivalent to 15–32 frames per second.…”
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  17. 17
    Human tracking in video surveillance using particle filter

    Human tracking in video surveillance using particle filter by Yussiff, A.-L., Yong, S.-P., Baharudin, B.B.

    Published 2016
    “…The filter uses random sample to estimate the possible location of the tracked object in the next immediate frame even in the presence of occlusion. …”
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  18. 18
    Crowd behavior monitoring using self-adaptive social force model

    Crowd behavior monitoring using self-adaptive social force model by Wan Nur Azhani, W. Samsudin, Kamarul Hawari, Ghazali

    Published 2019
    “…Instead of using any segmentation methods, the motion of particles in each frame is captured by particle advection method. …”
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  19. 19
    A hybrid method for endocardial contour extraction of right ventricle in 4-slices from 3D echocardiography dataset

    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
    “…In Phase III, the RV cavity region was segmented by generating intensity threshold which was used for once for all frames. Finally, Phase IV is proposed to extract the RV endocardial contour in a complete cardiac cycle using a combination of shape-based contour detection and improved radial search algorithm. …”
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  20. 20
    Automated underwater vision system for detection and classification of marine life using CNN YOLO-based model / Mohamed Syazwan Asyraf Rosli

    Automated underwater vision system for detection and classification of marine life using CNN YOLO-based model / Mohamed Syazwan Asyraf Rosli by Rosli, Mohamed Syazwan Asyraf

    Published 2022
    “…Recently, the integration of computer vision and machine learning has given solutions to improve the underwater detection system by using intelligent classifier algorithm in real-time computer vision to detect underwater animals with challenging environments. …”
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