Search Results - frames extraction ((method algorithm) OR (based algorithm))
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An Improved Action Key Frames Extraction Algorithm for Complex Colour Video Shot Summarization
Published 2019“…The objective of this work is to improve our previous action key frames extraction algorithm (AKF) by adapting a threshold which selects action key frames as final key frames. …”
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A wavelet based watermarking algorithm for video
Published 2005“…So digital watermarking technique which aims at copyright protection of digital contents becomes more and more important, and various watermarking methods have been proposed. In this paper, a video watermarking algorithm based on wavelets is proposed. …”
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AR oriented pose matching mechanism from motion capture data
Published 2023“…In order to extract the exact matched pose, the frame sequence is divided into pose feature frame and skeletal data frame by the use of pose matching dance training movement recognition algorithm (PMDTMR). …”
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Automated threshold detection for object segmentation in colour image
Published 2016“…Most common solution of the task is the uses of threshold strategy based on trial and error method. As the method is not automated, it is time consuming and sometimes a single threshold value does not work for a series of image frames of video data. …”
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Time normalization of LPC feature using warping method
Published 2005“…The processed features are pitch and Linear Predictive Coefficients (LPC) for input and reference templates, based on Dynamic Time Warping (DTW) algorithm. The first task is to extract pitch features using Pitch Scale Harmonic Filter (PSHF) algorithm. …”
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Image classification using two dimensional wavelet coefficients with parallel computing
Published 2020“…Whenever an area with the similar characteristic is verified in the next frame, the area will be identified and bounded with a rectangle through the object recognition algorithm of the research. …”
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Final Year Project / Dissertation / Thesis -
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Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking
Published 2012“…The first contribution is automatic detection of seed points which serve as a prerequisite step for centerline extraction algorithm. 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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Thesis -
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Gender identification of children using hidden Markov model based on Mel-frequency cepstral coefficient / Adira Ibrahim
Published 2013“…Mel Frequency Cepstral Coefficient (MFCC) was applied as the feature extraction method. HMM was trained with Baum-Welch algorithm and tested with Viterbi algorithm to get the gender identification accuracy. …”
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Particle swarm optimization with deep learning for human action recognition
Published 2021“…This paper proposes a deep learning framework for human action recognition to overcome the drawbacks of the current state-of-the-art methods. To extract the appearance based and structural information, each frame of the action sequences is evaluated for spatial features. …”
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Multiform Frame Shape Extraction Using Neighbouring Pixel Be-Haviors For Mushaf Al-Quran
Published 2019“…This paper will focus on how to extract Al-Quran text from its decorative illumination frame. …”
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A survey on 2d object tracking in digital video
Published 2009“…This paper presents object tracking methods in video.Different algorithms based on rigid, non rigid and articulated object tracking are studied. …”
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HARMONIC MITIGATION USING SHUNT ACTIVE POWER FILTER BASED ON SYNCHRONOUS REFERENCE FRAME THEORY
Published 2023“…The SAPF utilizes the synchronous reference frame theory and a hysteresis Proportional-Integral (PI) control algorithm to extract harmonic components and provide compensating currents. …”
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Final Year Project Report / IMRAD -
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ANALYSIS OF CLASSIFICATION PROCESS FOR VIDEO SCENE UNDERSTANDING
Published 2019“…The process starts with human action video obtained from KTH dataset as the input for video processing. In the frame process, important information will be extracted from the video images accordance to frame sequence where Spatial Temporal -Interest-Point (STIP) is used based on Harris’ Corner detection. …”
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Final Year Project -
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Robust vision-based multiple moving object detection and tracking from video sequences
Published 2018“…This paper illustrates the way to detect multiple objects using background subtraction methods and extract each object features by using Speed-Up Robust Feature algorithm and track the features through k-Nearest Neighbor processing from different surveillance videos sequentially. …”
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Vision-Based Autonomous Vehicle Driving Control System
Published 2005“…The important contribution of this study is the development of vehicle lane detection and tracking algorithm based on colour cue segmentation, Canny edge detection and Hough transform. …”
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Thesis -
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Vision-based autonomous vehicle driving control system
Published 2005“…The important contribution of this study is the development of vehicle lane detection and tracking algorithm based on colour cue segmentation, Canny edge detection and Hough transform. …”
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Frontal View Gait Recognition With Fusion of Depth Features From a Time of Flight Camera
Published 2019“…The data set includes two sessions recorded seven months apart, with 46 and 33 subjects, respectively, each with six walks with five covariates. The four-part method includes: a new human silhouette extraction algorithm that reduces the multiple reflection problem experienced by ToF cameras; a frame selection method based on a new gait cycle detection algorithm; four new gait image representations; and a novel fusion classifier. …”
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Tracking and indexing moving object in multitude environment
Published 2007“…This was done by using feature-based model method which used area, center point of each moving people and the average of RGB pixels value as recognition. …”
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Thesis -
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Structural steel plate damage detection using DFT spectral energy and artificial neural network
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