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  1. 1
    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
    “…Furthermore, the process of detected an object in every frame is time consuming as the entire frame must be detected to precisely locate the object system. …”
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  2. 2
    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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  3. 3
    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
    “…In this paper, we discuss and address the issue of detecting vehicle/traffic data from video frames with increased real time video processing. …”
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  4. 4
    A new multi-frames watermarking technique for tamper detection and recovery

    A new multi-frames watermarking technique for tamper detection and recovery by Khor, Hui Liang

    Published 2017
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  5. 5
    Ulcer detection and classification of wireless capsule endoscopy images using RGB masking

    Ulcer detection and classification of wireless capsule endoscopy images using RGB masking by Suman, S., Hussi, F.A., Nicolas, W., Malik, A.S.

    Published 2016
    “…We have proposed color detection method in RGB color space as it is a key technique of color image interpretation and recognition, as well as suitable for Ulcer detection in WCE images. …”
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  6. 6
    Ulcer detection and classification of wireless capsule endoscopy images using RGB masking

    Ulcer detection and classification of wireless capsule endoscopy images using RGB masking by Suman, S., Hussi, F.A., Nicolas, W., Malik, A.S.

    Published 2016
    “…We have proposed color detection method in RGB color space as it is a key technique of color image interpretation and recognition, as well as suitable for Ulcer detection in WCE images. …”
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  7. 7
    Improvement real-time detection of moving vehicle in a dynamic scene using shadow removal method / Khairul Azman Ahmad, Mohd Halim Mohd Noor,Mohamad Adha Mohamad Idin

    Improvement real-time detection of moving vehicle in a dynamic scene using shadow removal method / Khairul Azman Ahmad, Mohd Halim Mohd Noor,Mohamad Adha Mohamad Idin by Ahmad, Khairul Azman, Mohd Noor, Mohd Halim, Mohamad Idin, Mohamad Adha

    Published 2011
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    Research Reports
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  8. 8
    Fast shot boundary detection based on separable moments and support vector machine

    Fast shot boundary detection based on separable moments and support vector machine by Idan, Zinah N., Abdulhussain, Sadiq H., Mahmmod, Basheera M., Al-Utaibi, Khaled A., Syed Abdul Rahman Al-, Syed Abdul Rahman Al-Hadad, Sait, Sadiq M.

    Published 2021
    “…Thus, in this paper, a balance between detection accuracy and speed for SBD is addressed by presenting a new method for fast video processing. …”
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  9. 9
    Detection of micro emboli using signal energy and discrete fourier transform / Basil Mathew Panamkuttiyil

    Detection of micro emboli using signal energy and discrete fourier transform / Basil Mathew Panamkuttiyil by Basil Mathew , Panamkuttiyil

    Published 2011
    “…Conventional detection method is used and it is compared with the results obtained using algorithm to check the accuracy. …”
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  10. 10
    A fast feature extraction algorithm for image and video processing

    A fast feature extraction algorithm for image and video processing by Abdulhussain, Sadiq H., Ramli, Abdul Rahman, Mahmmod, Basheera M., Saripan, M. Iqbal, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Baker, Thar, Flayyih, Wameedh Nazar, Jassim, Wissam A.

    Published 2019
    “…Furthermore, the proposed method is employed for shot boundary detection (SBD) applications to detect transitions in video frames. …”
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  11. 11
    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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  12. 12
    A fuzzy approach for early human action detection / Ekta Vats

    A fuzzy approach for early human action detection / Ekta Vats by Ekta, Vats

    Published 2016
    “…Most existing methods deal with the detection of an action after its completion. …”
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  13. 13
    An integrated deep learning deepfakes detection method (IDL-DDM)

    An integrated deep learning deepfakes detection method (IDL-DDM) by Yassin, Warusia, Johan, Azwan, Abas, Zuraida Abal, Baharon, Mohd Rizuan, Bejuri, Wan, Ismail, Anuar

    Published 2024
    “…Nevertheless, various detection methods for deepfakes have been schemed, and the accuracy of such detection models still emerges as an open issue, particularly for research communities. …”
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  14. 14
    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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  15. 15
    Overhead view based person counting using deep learning

    Overhead view based person counting using deep learning by Kaw, Chee Zhao

    Published 2022
    “…In conventional video surveillance systems, most of the person detection methods are based on frontal view, which may have lower accuracy stemming from the occlusion problem. …”
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    Final Year Project / Dissertation / Thesis
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  16. 16
    Real-Time Video Processing Using Native Programming on Android Platform

    Real-Time Video Processing Using Native Programming on Android Platform by Saipullah, Khairul Muzzammil

    Published 2012
    “…The result shows that with native programming on Android platform, even a complicated object detection algorithm can be done in real-time.…”
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  17. 17
    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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  18. 18
    Multiple object recognition

    Multiple object recognition by Alamin, Sabri Mohammed, Khalifa, Othman Omran

    Published 2016
    “…The existing method in this domain first tries to detect the interest object in video frames. …”
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  19. 19
    A real-time mobile notification system for inventory stock out detection using SIFT and RANSAC

    A real-time mobile notification system for inventory stock out detection using SIFT and RANSAC by Merrad, Yacine, Habaebi, Mohamed Hadi, Islam, Md Rafiqul, Gunawan, Teddy Surya

    Published 2020
    “…It may mean the detection of an object within a frame and classify it (human, animal, vehicle, building, etc) by the use of some algorithms. …”
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  20. 20
    Deep learning object detector using a combination of Convolutional Neural Network (CNN) architecture (MiniVGGNet) and classic object detection algorithm

    Deep learning object detector using a combination of Convolutional Neural Network (CNN) architecture (MiniVGGNet) and classic object detection algorithm by Ismail, Asmida, Ahmad, Siti Anom, Che Soh, Azura, Hassan, Mohd Khair, Harith, Hazreen Haizi

    Published 2020
    “…Based on the experiment result, the percentage of classification accuracy of the network is 80% to 90% and the time for the system to detect the object is less than 15sec/frame. …”
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