Search Results - (( frames location detection algorithm ) OR ( java implementation model algorithm ))

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  1. 1

    An Algorithm for Vehicle Detection and Tracking by Malik , Aamir Saeed

    Published 2010
    “…In this paper, we propose a vehicle detection and tracking algorithm. The detection is done using the median filtering and blob extraction. …”
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    Conference or Workshop Item
  2. 2

    AUTOMATED MODEL GENERATION OF FSM AND NUSMV MODEL FROM RSA JAVA SOURCE CODE FOR MODEL CHECKING by SALLEH AL-HUMAIKANI, MOHAMMED ABDULQAWI

    Published 2021
    “…RSA is one of these encryption algorithms that have been implemented in security systems. …”
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    Thesis
  3. 3

    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
    “…Therefore, it would be extremely advantageous to develop an intelligent algorithm to inspect the WCE images. This research aims to develop an algorithm to enhance wireless capsule endoscopy images and analyses them to detect Ulcer located in small intestine. …”
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    Article
  4. 4

    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
    “…Therefore, it would be extremely advantageous to develop an intelligent algorithm to inspect the WCE images. This research aims to develop an algorithm to enhance wireless capsule endoscopy images and analyses them to detect Ulcer located in small intestine. …”
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    Article
  5. 5

    Damage detection in frame structures using noisy accelerometers and Damage Load Vectors (DLV) by Toloue, I., Liew, M.S., Hamonangan Harahap, I.S., Lee, H.E.

    Published 2020
    “…The DLV method was subsequently employed to locate the damaged members using recorded frame vibration data that were obtained from 'noisy' accelerometers positioned on the frame at eight predefined locations. …”
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    Article
  6. 6

    Damage detection in frame structures using noisy accelerometers and Damage Load Vectors (DLV) by Toloue, I., Liew, M.S., Hamonangan Harahap, I.S., Lee, H.E.

    Published 2020
    “…The DLV method was subsequently employed to locate the damaged members using recorded frame vibration data that were obtained from 'noisy' accelerometers positioned on the frame at eight predefined locations. …”
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    Article
  7. 7
  8. 8

    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
    “…The main challenges are using the conventional method is the uncertainty in the accuracy and precision of the detected object motion. 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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    Article
  9. 9

    Provider independent cryptographic tools by Ibrahim, Subariah, Salleh, Mazleena, Abdul Aziz, Shah Rizan

    Published 2003
    “…The library is implemented by using Java cryptographic service provider framework that conforms to Java Cryptographic Architecture (JCA) and Java Cryptographic Extension (JCE). …”
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    Monograph
  10. 10

    EMBEDDED PRESENTER TRACKING SYSTEM by MUSA, FAIZ SYAUQI

    Published 2018
    “…A webcam is used for the prototype to provide visual input for the system before the Viola-Jones algorithm is used to detect the presence of a human face within the video frame input. …”
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    Final Year Project
  11. 11

    Direct approach for mining association rules from structured XML data by Abazeed, Ashraf Riad

    Published 2012
    “…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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    Thesis
  12. 12

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

    Published 2017
    “…These particles are then advected to a new location according to its underlying optical flow vector at the current location. …”
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    Thesis
  13. 13

    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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    Article
  14. 14

    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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    Article
  15. 15

    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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    Conference or Workshop Item
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    Optimization of blood vessel detection in retina images using multithreading and native code for portable devices by Tran, Duc Ngoc, Hussin, Fawnizu Azmadi, Yusoff, Mohd Zuki

    Published 2013
    “…The performance of Java programming model and native programming model are compared with respect to the execution time for blood vessel detection. …”
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    Conference or Workshop Item
  18. 18

    Front yard surveillance system: robbery scene detection by Tang, Jia Le

    Published 2020
    “…First YOLO will start to detect human and car present in the video frame and store its location. …”
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    Final Year Project / Dissertation / Thesis
  19. 19

    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
    “…MiniVGGNet is an architecture network used to train an object classification, and the data used for this purpose was collected from specific indoor environment building. For object detection, sliding windows and image pyramids were used to localize and detect objects at different locations, and non-maxima suppression (NMS) was used to obtain the final bounding box to localize the object location. …”
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    Article
  20. 20

    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
    “…These algorithms are sensitive to noise, and thus, it is difficult to accurately predict the location of the objects. …”
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    Article