Search Results - (( (frames OR frame) estimation using algorithm ) OR ( java application using algorithm ))

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    Variable block based motion estimation using hexagon diamond full search algorithm (HDFSA) via block subtraction technique by Hardev Singh, Jitvinder Dev Singh

    Published 2015
    “…In the video and frame selection, pre-defined video which have different type of motion and size is used for the algorithm evaluation purpose. …”
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    Thesis
  3. 3

    Adaptive framed pseudo-Bayesian Aloha algorithm with priorities by Habaebi, Mohamed Hadi, Mohd Ali, Borhanuddin

    Published 2000
    “…A new wireless framed pseudo-bayesian Aloha algorithm with adaptive priorities, for wireless ATM reservation-based TDMA MAC prolocols, is presented. …”
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    Article
  4. 4

    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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    Thesis
  5. 5

    REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC by ABDELRAHMAN ELAMIN, ABDELRAHMAN ELAMIN

    Published 2011
    “…The practical application of DVC is referred to as Wyner-Ziv video coding (WZ) where an estimate of the original frame called "side information" is generated using motion compensation at the decoder. …”
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    Thesis
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    Block matching algorithms for motion estimation using modified Cross-Diamond-Hexagonal search / Abd Razak Mahmud by Mahmud, Abd Razak

    Published 2008
    “…Each of the video frames is divided into macroblocks. The computational of the current pixel in current frame is compared to the previous decoded frame as a reference. …”
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    Thesis
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    Block Motion Estimation Using Directional Adaptive Search Window by Fadly Chew, Nor Farhana, Badruddin, Nasreen

    Published 2006
    “…Motion estimation (ME) is the exploitation of similarities between adjacent frames in a video sequences, and is an essential part of the H.264 and other video compression standards. …”
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    Conference or Workshop Item
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    Efficient tag grouping RFID anti-collision algorithm for internet of things applications based on improved k-means clustering by Umelo, Nnamdi Henry, Noordin, Nor Kamariah, A. Rasid, Mohd Fadlee, Tan, Kim Geok, Hashim, Fazirulhisyam

    Published 2023
    “…In the initialization stage, the reader uses improved K-means clustering running concurrently with a tag counter algorithm to cluster tags into K groups using tags RN16 while the counter returns an accurate tag number estimate. …”
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    Article
  9. 9

    Block motion estimation using directional adaptive search window by Chew , N.F.F., Badruddin ., Nasreen

    Published 2007
    “…Motion estimation (ME) is the exploitation of similarities between adjacent frames in a video sequences, and is an essential part of the H.264 and other video compression standards. …”
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    Conference or Workshop Item
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    Image Stitching Of Aerial Footage by Ng, Wei Haen

    Published 2021
    “…The images are warped to the key frame of the footage to generate a stitched image by using the computed homography. …”
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    Final Year Project / Dissertation / Thesis
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    Zero acceleration algorithm with state of motion identifier for position estimation of wheeled robot by Tan, Zhi Zhong

    Published 2019
    “…Position estimation system using inertial sensor poses a critical challenge to deliver accurate positioning information. …”
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    Thesis
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    Drone Based People Counter And Tracking Using Unique Id Using Opencv Python by Bhaskar, Hariyaran

    Published 2020
    “…The purpose of this thesis is to implement an algorithm for drone-based square boundaries using Python and OpenCV. …”
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    Monograph
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    Improved abnormal detection using self-adaptive social force model for visual surveillance by Wan Nur Azhani, W. Samsudin

    Published 2017
    “…In this work, we aim to find the significant interaction forces and detect the abnormality in the crowd by using Self-Adaptive Social Force Model. 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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    Thesis
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    Scale-invariant and adaptive-search template matching for monocular visual odometry in low-textured environment by Aqel, Mohammad O. A.

    Published 2016
    “…This technique marks the image frames by using two laser points as independent reference points. …”
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    Thesis
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    Shunt active power filter with modified synchronous reference frame technique and fuzzy logic current controller for harmonic mitigation by Suleiman, Musa

    Published 2017
    “…The simulation and experimental results show ability of the proposed algorithms to accurately estimate harmonic reference signal which was utilized in switching pulses for the SAPF. …”
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    Thesis
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    Performance Analysis of Hexagon-Diamond Search Algorithm for Motion Estimation using MATLAB by Abdul Manap, Redzuan, Ranjit, S.S.S.

    Published 2010
    “…One of ME techniques, known as Block Matching Algorithm (BMA), has been widely used in various video coding standards. …”
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    Article
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    A survey on 2d object tracking in digital video by Khobragade, A.S., Dethe, C.G., Kulat, K.D.

    Published 2009
    “…The goal of this article is to review the state-of-the-art tracking methods, classify them into different categories, and identify new trends.It is often the case that tracking objects in consecutive frames is supported by a prediction scheme. Based on information extracted from previous frames and any high level information that can be obtained, the state (location) of the object is predicted.An excellent framework for prediction is kalman filter, which additionally estimates prediction error.In complex scenes, instead of single hypothesis, multiple hypotheses using Particle filter can be used.Different techniques are given for different types of constraints in video.…”
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    Conference or Workshop Item
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    Model-free viewpoint invariant human activity recognition by Htike@Muhammad Yusof, Zaw Zaw, Egerton, Simon, Kuang, Ye Chow

    Published 2011
    “…Each pose model employs an expectation-maximization algorithm to estimate the probability that the given frame contains the corresponding pose. …”
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    Proceeding Paper