Search Results - (( based selection methods algorithm ) OR ( frames extraction method algorithm ))
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1
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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2
Image classification using two dimensional wavelet coefficients with parallel computing
Published 2020“…This method is capable to shorten the process time of the computation-intensive program in this research to process the live images frame by frame, which received from a laptop webcam to achieve real-time video processing. …”
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3
Automated threshold detection for object segmentation in colour image
Published 2016“…The procedure starts with selection of optimal RGB channel. Then H(•) algorithm is applied for automated threshold detection to convert the image frames into grayscale image. …”
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4
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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5
Identifying and detecting unlawful behavior in video images using genetic algorithm / Shahirah Mohamed Hatim
Published 2016“…GA is used as the method of unlawful behavior detection. Previous research on GA components impact evaluation has identified selection parameter as high potential of increasing GA performance for unlawful behavior detection. …”
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6
Frontal view gait recognition with fusion of depth features from a time of flight camera
Published 2018“…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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7
Correlation-based subset evaluation of feature selection for dynamic Malaysian sign language
Published 2016“…Thus by adding processes before classification methods such as feature selection methods can provide better data input in the classification process, it is expected to improve the performance of the method of classification. …”
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8
Detection and Classification of Moving Objects for an Automated Surveillance System
Published 2006“…Moving object is detected by using combination of two frame differencing and adaptive image averaging with selectivity. …”
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9
Detection and classification of moving objects for an automated surveillance system
Published 2006“…Moving object is detected by using combination of two frame differencing and adaptive image averaging with selectivity. …”
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10
Detection and classification of moving objects for an automated surveillance system
Published 2006“…Moving object is detected by using combination of two frame differencing and adaptive image averaging with selectivity. …”
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11
Development of sorting system for oil palm in vitro shoots using machine vision approach
Published 2014“…By using k-means algorithm the extracted features have been evaluated. …”
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A fast feature extraction algorithm for image and video processing
Published 2019“…These features are used to represent the local visual content of images and video frames. We compared the proposed method with the traditional approach of feature extraction using a standard image technique. …”
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14
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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Local DTW coefficients and pitch feature for back-propagation NN digits recognition
Published 2006“…The LPC features vectors are aligned between the source frames to the template using our DTW frame fixing (DTW-FF) algorithm. …”
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16
Time normalization of LPC feature using warping method
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Local DTW Coefficients and Pitch Feature for Back-Propagation NN Digits Recognition
Published 2006“…The LPC features vectors are aligned between the source frames to the template using our DTW frame fixing (DTW-FF) algorithm. …”
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18
A new multi-frames watermarking technique for tamper detection and recovery
Published 2017“…The objectives of the research are to resolve the time constraint of sequential multi-frames watermarking process. The sequential multi-frames watermarking process could be speed up by two methods, first method was designed a speedy watermarking scheme algorithm (ROI-DR) in a single frame of medical image, and the second method was developed a new multi-frames watermarking scheme by adding parallelism component into sequential multi-frames watermarking process. …”
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19
A wavelet based watermarking algorithm for video
Published 2005“…In this algorithm, to achieve better imperceptibility and robustness a binary image watermark is inserted into the middle frequency subband coefficients of the blue component of the video frame. …”
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20
Image Stitching Of Aerial Footage
Published 2021“…The implemented method successfully stitched the frames extracted from the aerial footage to generate a large scene image beyond the normal resolution.…”
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