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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
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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3
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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4
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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5
Particle swarm optimization with deep learning for human action recognition
Published 2021“…Also, the current motion target detection algorithms extract features from the relevant object only if the moving object has complex texture features. …”
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6
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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7
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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Final Year Project / Dissertation / Thesis -
8
An integrated deep learning deepfakes detection method (IDL-DDM)
Published 2024“…Using this learning algorithm, several facial region characteristics such as eyes, nose, and mouth are extracted and further transformed into numerical form with the intention to identify video frames more precisely. …”
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9
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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Final Year Project / Dissertation / Thesis -
10
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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11
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 -
12
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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13
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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14
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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15
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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16
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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17
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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18
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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19
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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Thesis -
20
Implementing low level features for human aggressive movement detection
Published 2015“…Using the vector of this method, the abnormal and normal video frames are then classified and utilized to define the aggressiveness of humans. …”
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