Search Results - (( data extraction method algorithm ) OR ( frames detection method algorithm ))
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1
A fast feature extraction algorithm for image and video processing
Published 2019“…Furthermore, the proposed method is employed for shot boundary detection (SBD) applications to detect transitions in video frames. …”
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Conference or Workshop Item -
2
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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Article -
3
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. …”
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4
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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5
Image Stitching Of Aerial Footage
Published 2021“…In this project, an image stitching framework is proposed to take aerial footage as input data. The proposed algorithm extracts the frames of the aerial footage and undistorts the bird-eye-effect of the images to remove the noises. …”
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Final Year Project / Dissertation / Thesis -
6
Enhanced mechanism to handle missing data of Hadith classifier
Published 2011“…This research produced a mechanism to deal with missing data in Hadith database, 999 Hadiths from Sahih Al-Bukhari, Jami'u Al-Termithi and Selseelt AlaHadith Aldae'ifah w' Almadu'h were framed the sample of this study, the attributes of the hadith database were gained according to the validate methods of Hadith science, the experiment applied C4.5 algorithm to extract the rules of classification. …”
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Proceeding Paper -
7
An integrated deep learning deepfakes detection method (IDL-DDM)
Published 2024“…Nevertheless, various detection methods for deepfakes have been schemed, and the accuracy of such detection models still emerges as an open issue, particularly for research communities. …”
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8
Development Of A Robust Blind Digital Video Watermarking Algorithm Using Discrete Wavelet Transform
Published 2007“…On the other hand, a random key is used to choose the frames to be watermarked to increase the security level of the algorithm and discourage piracy. …”
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9
Identifying and detecting unlawful behavior in video images using genetic algorithm / Shahirah Mohamed Hatim
Published 2016“…Each video is of less than 30 seconds length. 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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10
Deep learning object detector using a combination of Convolutional Neural Network (CNN) architecture (MiniVGGNet) and classic object detection algorithm
Published 2020“…Based on the experiment result, the percentage of classification accuracy of the network is 80% to 90% and the time for the system to detect the object is less than 15sec/frame. Experimental results show that there are reasonable and efficient to combine classic object detection method with a deep learning classification approach. …”
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11
Detection and Classification of Moving Objects for an Automated Surveillance System
Published 2006“…This thesis focuses on a method to detect and classify a moving object that pass through the surveillance area boundary. …”
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12
Detection and classification of moving objects for an automated surveillance system
Published 2006“…This thesis focuses on a method to detect and classify a moving object that pass through the surveillance area boundary. …”
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13
Detection and classification of moving objects for an automated surveillance system
Published 2006“…This thesis focuses on a method to detect and classify a moving object that pass through the surveillance area boundary. …”
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14
Frontal View Gait Recognition With Fusion of Depth Features From a Time of Flight Camera
Published 2019“…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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15
Vision-Based Autonomous Vehicle Driving Control System
Published 2005“…In this subsystem, image-capturing techniques capture the video images frame by frame. After that, lane detection process extracts the information about vehicle position with respect to the highway lane. …”
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16
Vision-based autonomous vehicle driving control system
Published 2005“…In this subsystem, image-capturing techniques capture the video images frame by frame. After that, lane detection process extracts the information about vehicle position with respect to the highway lane. …”
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17
Efficient NASNetMobile-enhanced Vision Transformer for weakly supervised video anomaly detection
Published 2026“…Current video anomaly detection (VAD) methods struggle to prioritize informative frames and lack effective mechanisms to collect both local and global video contexts. …”
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18
Frontal view gait recognition with fusion of depth features from a time of flight camera
Published 2018“…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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19
Lane markings detection based on e-maxima transformation and improved hough
Published 2012“…The experimental results based on collected video data under complex illumination conditions had proved that the proposed algorithm is able to detect the road lane marking efficiently achieving a correction rate of 95.33%. …”
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20
Internal defect detection and reconstruction framework for laminated glass fibre reinforced polymer composite materials
Published 2013“…Therefore, an advanced signal processmg technique is necessary to manage large data sets and to extract suitable features for effective internal defect detection. …”
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Thesis