Search Results - (( motion detection method algorithm ) OR ( frames detection method algorithm ))

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  1. 1
    Depth frame loss concealment for wireless transmission utilising motion detection information

    Depth frame loss concealment for wireless transmission utilising motion detection information by Ranjbari, Mohamadreza

    Published 2014
    “…The methods are able to facilitate a frame copy algorithm and a high correlation of colour and depth frames to conceal depth frame loss. …”
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  2. 2
    Investigation of block matching algorithm for video coding

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

    Published 2013
    “…Then, the best BMA algorithm technique will be chosen to develop a hybrid method that varies with the motion type of the video. …”
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  3. 3
    A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method

    A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method by Zalili, Musa, Mohd Hafiz, Mohd Hassin, Nurul Izzatie Husna, Fauzi, Rohani, Abu Bakar, Watada, Junzo

    Published 2018
    “…Therefore, to overcome the several problems associated with the object detection method, a new approach in Particle Swarm Optimization (PSO) algorithm for optimal search solution as an alternative method to detect of object tracking quickly, precisely and accurately. …”
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  4. 4
    Web Camera Application For Motion Detection

    Web Camera Application For Motion Detection by Koay, Su Yeong

    Published 2003
    “…The new method to detect motion is "vision motion detection". …”
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  5. 5
    Enhanced and effective parallel optical flow method for vehicle detection and tracking

    Enhanced and effective parallel optical flow method for vehicle detection and tracking by Bhaskar, P.K., Yong, S.-P., Jung, L.T.

    Published 2016
    “…Here, Motion detection is determined by temporal differencing and template matching is done only on the locations as guided by the motion detection stage to provide a robust target-tracking method. …”
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  6. 6
    Automated threshold detection for object segmentation in colour image

    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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  7. 7
    Analysis of Motion Detection using Social Force Model

    Analysis of Motion Detection using Social Force Model by Wan Nur Azhani, W. Samsudin, Kamarul Hawari, Ghazali, Mohd Falfazli, Mat Jusof

    Published 2013
    “…For this purpose, Horn-Schunck optical flow is used in order to find the flow vector for all video frames. Using the vectors from this method, the interaction forces for each particle in video frames is calculated based on Social Force Model algorithm. …”
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  8. 8
    Particle swarm optimization with deep learning for human action recognition

    Particle swarm optimization with deep learning for human action recognition by Usmani, U.A., Watada, J., Jaafar, J., Aziz, I.A., Roy, A.

    Published 2021
    “…Also, the current motion target detection algorithms extract features from the relevant object only if the moving object has complex texture features. …”
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  9. 9
    Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs

    Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs by Harandi, Bahareh Kalantar Ghorashi

    Published 2017
    “…The proposed framework has also been compared with existing stateof- the-art detection algorithms. Experimental results show that MDMRBF outperforms these algorithms with precision and recall being 94% and 89%, respectively. …”
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  10. 10
    Performance evaluation on mitral valve motion feature tracking using kanade-lucas-Tomasi (KLT) algorithm based eigenvalue measurement

    Performance evaluation on mitral valve motion feature tracking using kanade-lucas-Tomasi (KLT) algorithm based eigenvalue measurement by Mahadi, Lina Farhana, Ibrahim, Nabilah, Zaluwi, Mohd Thariq, S.M Johan, Muhammad Haniff

    Published 2019
    “…This paper discussed about the implementation of Kanade-Lucas-Tomasi (KLT) algorithm for automatic detection of the mitral valve in video frames. …”
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  11. 11
    Performance evaluation on mitral valve motion feature tracking using Kanade-Lucas- Tomasi (KLT) algorithm based eigenvalue measurement

    Performance evaluation on mitral valve motion feature tracking using Kanade-Lucas- Tomasi (KLT) algorithm based eigenvalue measurement by Mahadi, Lina Farhana, Ibrahim, Nabilah, Zaluwi, Mohd Thariq, S.M Johan, Muhammad Haniff

    Published 2019
    “…This paper discussed about the implementation of Kanade-Lucas-Tomasi (KLT) algorithm for automatic detection of the mitral valve in video frames. …”
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  12. 12
    Visualization on colour based flow vector of thermal image for movement detection during interactive session

    Visualization on colour based flow vector of thermal image for movement detection during interactive session by Ibrahim, Nabilah, Raman, Mohamad Nurazmi, Mahadi, Lina Farhana, Wan Zakaria, Wan Nurshazwani

    Published 2018
    “…Conventional system might cause false information with the present of shadow. Thus, methods employed in this work are Canny edge detector method, Lucas Kanade and Horn Shunck algorithms, to overcome the major problem when using thresholding method, which is only intensity or pixel magnitude is considered instead of relationships between the pixels. …”
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  13. 13
    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
    “…Technically, this method estimate the motion area before updates the background by taking a weighted average of non-motion area of the current background altogether with non-motion area of the current frame of the video sequence. …”
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  14. 14
    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
    “…Technically, this method estimate the motion area before updates the background by taking a weighted average of non-motion area of the current background altogether with non-motion area of the current frame of the video sequence. …”
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  15. 15
    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
    “…Technically, this method estimate the motion area before updates the background by taking a weighted average of non-motion area of the current background altogether with non-motion area of the current frame of the video sequence. …”
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  16. 16
    Moving detection using cellular neural network (CNN)

    Moving detection using cellular neural network (CNN) by Prema Latha, Subramaniam

    Published 2008
    “…Previous motion-based moving object detection approaches often use background subtraction and inter-frame difference or three-frame difference, which are complicated and takes long time. …”
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  17. 17
    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 both indoor and outdoor scene, the proposed algorithm outperforms the other methods with accuracy 97% and 100%. …”
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  18. 18
    Efficient NASNetMobile-enhanced Vision Transformer for weakly supervised video anomaly detection

    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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  19. 19
    Collective interaction filtering approach for detection of group in diverse crowded scenes

    Collective interaction filtering approach for detection of group in diverse crowded scenes by Wong, Pei Voon, Mustapha, Norwati, Affendey, Lilly Suriani, Khalid, Fatimah

    Published 2019
    “…Therefore, we propose a group detection approach called Collective Interaction Filtering to discover people motion interaction from trajectories. …”
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  20. 20
    ANALYSIS OF CLASSIFICATION PROCESS FOR VIDEO SCENE UNDERSTANDING

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

    Published 2019
    “…The human motions will then be classified by utilizing K-Nearest Neighbor (K-NN) method into their desired group of actions such as walking, running, or clapping. …”
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    Final Year Project
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