Research ArticleOpen accessAll words, across the recordPedestrian Recognition Based on Multi-Scale Weighted HOGMonther Hussein Al-BsoolPedestrian recognition receives a great attention in recent years due to its importance in traffic accidents identification. Traffic surveillance systems can provide valuable information for pedestrian recognition using computer vision and image processing techniques. Most techniques exploit simple feature extraction and multi-stage feature matching to train classifiers. In this study, Canny edge information and Histogram of Oriented Gradient (HOG) has … …Journal of Computer Science, Vol. 14, Issue 11 · 7 Nov 2018 · 7,158 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordHandwritten Characters Extraction from Form Based on Line Shape CharacteristicsAli Qusay Al-Faris, Dzulkifli Mohamad, Umi Kalthum Ngah, Nor Ashidi Mat IsaProblem statement: Data entry form is a convenient and successful tool for information collection by filling in the sheets using pen and handwriting. One of the most important fields in these forms is the data filled boxes. Extracting the handwriting from the data entry forms is important for many purposes such as in documenting and archiving. The extraction process is … …Journal of Computer Science, Vol. 7, Issue 12 · 15 Oct 2011 · 7,934 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDenoising Methods for MRI ImagerySamuel KozaitisThere are several new denoising algorithms that may be useful for magnetic resonance imaging. We compared the performance of some of the latest denoising algorithms with those that have been developed specifically for MRI imagery. We found that the latest approaches show impressive performance in terms of mean squared error, but a measure based on perceptual quality may be needed … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 3 · 30 Aug 2017 · 7,478 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordComparison of Improved Semi-Automated Segmentation Technique with Manual Segmentation: Data from the Osteoarthritis InitiativeHong Seng Gan, Khairil Amir SayutiManual segmentation is the standard procedure in osteoarthritis study. However, this method is infamous for being excessive, time consuming and exhaustive. In this study, we overcame the problem of excessive expert interaction reported in manual segmentation by developing a semi-automated random walks technique with computer-aided labelling system. To minimize expert interaction, non-cartilage seeds were generated by using computer. Then, random … …American Journal of Applied Sciences, Vol. 13, Issue 11 · 24 Oct 2016 · 7,363 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Key Dependent Encryption Algorithm Based on Multiple Bitwise-Shuffling and XOR Variable-Length PartitionsAbdelfatah Aref TamimiThis new algorithm employs shuffling procedures combined with variable-length key-dependent XOR and S-box substitutions to perform lossless image encryption. This algorithm was implemented and tested by performing different permutations of shuffling, XOR encryption and S-box substitution. Empirical analysis using different types of test images of different sizes showed that this new algorithm is effective and resistant to statistical attacks. The … …Journal of Computer Science, Vol. 12, Issue 2 · 26 Mar 2016 · 7,679 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPedestrian Detection in RGB-D Data Using Deep AutoencodersPavel Aleksandrovich Kazantsev, Pavel Vyacheslavovich SkribtsovRecent popularity of RGB-D sensors mostly comes from the fact that RGB-images and depth maps supplement each other in machine vision tasks, such as object detection and recognition. This article addresses a problem of RGB and depth data fusion for pedestrian detection. We propose pedestrian detection algorithm that involves fusion of outputs of 2D- and 3D-detectors based on deep autoencoders. … …American Journal of Applied Sciences, Vol. 12, Issue 11 · 17 Nov 2015 · 6,812 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordLow Cost Shooting Simulator Based on a Single Board ComputerAryuanto Soetedjo, Ali Mahmudi, Mochammad Ibrahim Ashari, Yusuf Ismail NakhodaThis paper proposes the camera on weapon system used as the shooting simulator. The single board computer (Raspberry Pi module) is used as the main processor. The OpenCV is implemented on the embedded system to perform the image processing task. The aim of the proposed camera on weapon system is to detect the position of the markers on the target … …American Journal of Applied Sciences, Vol. 12, Issue 2 · 6 Apr 2015 · 7,721 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordHYPERPARAMETER SELECTION IN KERNEL PRINCIPAL COMPONENT ANALYSISMd. Ashad Alam, Kenji FukumizuIn kernel methods, choosing a suitable kernel is indispensable for favorable results. No well-founded methods, however, have been established in general for unsupervised learning. We focus on kernel Principal Component Analysis (kernel PCA), which is a nonlinear extension of principal component analysis and has been used electively for extracting nonlinear features and reducing dimensionality. As a kernel method, kernel PCA … …Journal of Computer Science, Vol. 10, Issue 7 · 15 Feb 2014 · 8,721 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordMOTION DETECTION USING THE SPACE-TIME INTEREST POINTSInsaf Bellamine, Hamid TairiSpace-Time Interest Points (STIP) are among all the interesting features which can be extracted from videos; they are simple, robust and they allow a good characterization of a set of regions of interest corresponding to moving objects in a three-dimensional observed scene. In this study, we show how the resulting features often reflect interesting events that can be used for … …Journal of Computer Science, Vol. 10, Issue 5 · 17 Jan 2014 · 6,643 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordUBIQUITOUS PALM DISPLAY AND FINGERTIP TRACKER SYSTEM USING OPENCVSathish Sekar, Shriram K. Vasudevan, Kaushik Velusamy et al.Ubiquitous Computing is the idea of embedding computation onto everyday objects of the environment we live in. It’s the approach towards making technology and computation available everywhere thereby making people interact with abundant information around them in a more natural and friendly manner. Our project, the palm display system is one such approach of using one’s palm as the graphical … …Journal of Computer Science, Vol. 10, Issue 3 · 22 Nov 2013 · 6,925 accessesView PDFCite