Search Results - (( frames extraction method algorithm ) OR ( processes specification method algorithm ))
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Deep learning object detector using a combination of Convolutional Neural Network (CNN) architecture (MiniVGGNet) and classic object detection algorithm
Published 2020“…The performance of this method can work in some specific use cases and effectively solving the problem of the inaccurate classification and detection of typical features.…”
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Tracking and indexing moving object in multitude environment
Published 2007“…In this tracking and indexing system, background subtraction model for each frame is being used for extracting the moving object from the background. …”
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3
Identifying and detecting unlawful behavior in video images using genetic algorithm / Shahirah Mohamed Hatim
Published 2016“…The data undergo the pre-processed phase which consists of edge detection, adaptive thresholding segmentation and MATLAB regionprops function for feature extraction. …”
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4
Detection and classification of bleeding region in WCE images using color feature
Published 2017“…In case of bleeding, color is a very important feature for an efficient information extraction. Our algorithm is based on statistical color feature analysis and we use support vector machine (SVM) to classify WCE video frames into bleeding and non-bleeding classes with a high processing speed. …”
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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 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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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“…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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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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Time normalization of LPC feature using warping method
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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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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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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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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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16
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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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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NN with DTW-FF Coefficients and Pitch Feature for Speaker Recognition
Published 2006“…This paper proposes a new method to extract speech features in a warping path using dynamic programming (DP). …”
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Particle swarm optimization with deep learning for human action recognition
Published 2021“…The regions extracted by these algorithms are larger than the region of interest and stretches towards the direction of movement. …”
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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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