{"title":"Stereoscopic mobile Natural Feature Tracking","authors":"R. Davies, I. D. Wilson, J. A. Ware","doi":"10.1109/GSCIT.2014.6970133","DOIUrl":"https://doi.org/10.1109/GSCIT.2014.6970133","url":null,"abstract":"In this paper, we introduce a Natural Feature Tracking (NFT) system capable of running at real-time on limited powered devices. Combining current vision techniques with stereoscopic cameras has benefits that reduce processing expense and increase the suitability of the resultant data. The novel use of stereoscopic imaging centered within a single device allows for extraction of features from dynamic backgrounds where the camera is not bound to a single fixed point and is subject to 6DOF. The System achieves frame rates in excess of 15fps operating on a single 1GHz core mobile device. The device used has a dual core allowing the addition of virtual content for augmentation without affecting the performance of the tracker.","PeriodicalId":270622,"journal":{"name":"2014 Global Summit on Computer & Information Technology (GSCIT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115297902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Texture image segmentation based on the elements of Gray Level Aura Matrices","authors":"Zohra Haliche, K. Hammouche, J. Postaire","doi":"10.1109/GSCIT.2014.6970106","DOIUrl":"https://doi.org/10.1109/GSCIT.2014.6970106","url":null,"abstract":"We present a method for texture image segmentation based on Gray Level Aura Matrices (GLAMs). The GLAMs allow describing the relationship between the target pixel and its neighboring pixels located in neighborhood structure defined by a structuring element. Their elements are directly used in this paper instead of Haralick features in order to characterize each pixel of the image. The pixels having the same features are then gathered into classes using the Fuzzy C-means algorithm. Experiments results on synthetic and real images show the relevance of the elements of GLAMs in the segmentation of images with different textures.","PeriodicalId":270622,"journal":{"name":"2014 Global Summit on Computer & Information Technology (GSCIT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116415177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Haythem Ameur, A. Helali, Mohsen Nasri, H. Maaref, A. Youssef
{"title":"Improved feature extraction method based on Histogram of Oriented Gradients for pedestrian detection","authors":"Haythem Ameur, A. Helali, Mohsen Nasri, H. Maaref, A. Youssef","doi":"10.1109/GSCIT.2014.6970120","DOIUrl":"https://doi.org/10.1109/GSCIT.2014.6970120","url":null,"abstract":"In recent years, pedestrian detection for Automobile Driver Assistance System (ADAS) is a primordial task in the smart vehicle. Histogram of oriented gradients (HoG) is one of the most effective pedestrian feature extraction approaches to the study. In this paper, an optimization of pedestrian detection based on HOG method is presented and investigated to achieve an accurate human detection system. The study of different computation steps of the standard algorithm shows the possibility of improving the system performance, specifically in the build histograms step. The main idea is to customize each bin weight according to its contribution in the pedestrian extracted features. Actually, the different bins of a HoG improved vector that encodes a single cell will not have the same weight. Indeed, after the histograms computation, we will distribute an amplification factor for each bin in order to increase the weight bins that describe the relevant pedestrian features from a side. Top of that, we were interested to decrease the bins weight that affect the irrelevant features such as, other obstacle or the image background. The classification system is performed using a linear SVM classifier which is simple and easy to implement in ADAS applications. The performance studies using MATLAB simulation, proves the effectiveness of our approach.","PeriodicalId":270622,"journal":{"name":"2014 Global Summit on Computer & Information Technology (GSCIT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123383559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Azeta, Nicholas A. Omoregbe, C. Ayo, A. Raymond, A. Oroge, S. Misra
{"title":"An anti-cultism social education media system","authors":"A. Azeta, Nicholas A. Omoregbe, C. Ayo, A. Raymond, A. Oroge, S. Misra","doi":"10.1109/GSCIT.2014.6970097","DOIUrl":"https://doi.org/10.1109/GSCIT.2014.6970097","url":null,"abstract":"Social media online forum is one of the most popular platforms used by students to communicate. Unfortunately, these media have been hijacked by people to plan and commit online fraud and societal evils. Some of the secondary and university campuses in Nigeria have been turned to cultist environments leading to killings and anarchy amongst students. This situation has defied solutions in most tertiary institutions in the country, particularly in the public institutions. The objective of this paper is to provide an anti-cultism social media educational system that will be accessed using three modes: Web, Mobile and Voice. The system will support learning and interaction on campus while at the same time helping to curb cultism on campus through filtering of communicated social media keywords that are cultism or crime related, among students. In carrying out this project, appropriate research methods and implementation tools were deployed. The project offers a multimodal platform that will foster and encourage active learners' participation in the school system.","PeriodicalId":270622,"journal":{"name":"2014 Global Summit on Computer & Information Technology (GSCIT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128099891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effect of selfish behaviour on OLSR and AODV routing protocols in MANETs","authors":"Hicham Amraoui, A. Habbani, A. Hajami","doi":"10.1109/GSCIT.2014.6970105","DOIUrl":"https://doi.org/10.1109/GSCIT.2014.6970105","url":null,"abstract":"In this paper, we'll try to discuss the cooperation of nodes representing one of the important factors in improving the quality of service (QoS) and security in mobile ad hoc networks (MANETs). The routing protocols for MANETs are designed based on the assumption that all participating nodes are fully cooperative. In such networks, the Selfish behaviour is among the big challenges and can lead to the degradation of the network performance. We'll introduce this behaviour and. We'll propose a new profile to assess the impact on the performance of MANETs: energy, end-to-end delay, routing packets and the packets rate. The Results of simulations using OLSR and AODV protocols have shown that energy-based selfishness is a big problem and could affect the performance in MANETS depending on the mobility of nodes, size and density of the network. We'll try to prove that the selfish behaviour can be used to impact quality of service (QoS) and security in MANETS. Therefore, we need a comprehensive mechanism to cope with this behaviour to isolate selfishness nodes and we have planned to publish it in the future work as a new strategy based on game theory to encourage nodes to cooperate.","PeriodicalId":270622,"journal":{"name":"2014 Global Summit on Computer & Information Technology (GSCIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115863668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A comparison of cluster distance metrics for the segmentation of sputum color image using unsupervised hopfield neural network classifier","authors":"R. Sammouda, B. Youssef","doi":"10.1109/GSCIT.2014.6970130","DOIUrl":"https://doi.org/10.1109/GSCIT.2014.6970130","url":null,"abstract":"Unsupervised Hopfield Neural Network classifier (UHNNC) is an operational process appropriate for the segmentation of different type of medical and natural images. Its efficiency subsidizes not only to its start from a random initialization for the assignment of each pixel to only and only one cluster but also to its convergence to an advanced optimal solution in a pre-specified number of iterations. In this paper, we present a study of the distance type effect on the segmentation result using UHNNC. We have used a database of 1000 sputum color images prepared to be used in a screening process for lung cancer diagnosis. A quantitative comparison between the results obtained using the Euclidian and the Manhattan distance or city block distance showed that the former gives better classification or segmentation to the pixels of the different cells present in the sputum color images.","PeriodicalId":270622,"journal":{"name":"2014 Global Summit on Computer & Information Technology (GSCIT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115962126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Virtual environment stereo image capture using the Unreal Development Kit","authors":"Marius Miknis, P. Plassmann, Carl Jones","doi":"10.1109/GSCIT.2014.6970136","DOIUrl":"https://doi.org/10.1109/GSCIT.2014.6970136","url":null,"abstract":"In this paper we propose a novel method for acquiring stereo images using the Unreal Development Kit. Our method permits the creation and capture of virtual stereo scenes in a carefully controlled environment. Stereo image pairs produced by the system can subsequently be used for testing stereo matching algorithms and a large variety of computer vision techniques. Compared to a physical stereo camera setup this virtual method provides significantly finer and a better quantitative control over all variables involved in image acquisition ranging from camera parameters to specific detail of object materials such as texture, colour and reflectiveness including their behaviour under different lighting conditions. This is illustrated in this paper by comparing images produced via this method to those captured with physical stereo cameras in stereo matching tests using OpenCV algorithms.","PeriodicalId":270622,"journal":{"name":"2014 Global Summit on Computer & Information Technology (GSCIT)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128365694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Some Perturbation Problems in The Theory of Fractional Integral Equation","authors":"Ikram H. Amori","doi":"10.1109/GSCIT.2014.6970132","DOIUrl":"https://doi.org/10.1109/GSCIT.2014.6970132","url":null,"abstract":"The main of the paper is to investigate some problems of qualitative nature concerning perturbed fractional integral equations it is well known that many physical systems are covered by such equations a fact which justifies the increasing interest in their study. Various results are derived by special choice of an integral operator of convolution type.","PeriodicalId":270622,"journal":{"name":"2014 Global Summit on Computer & Information Technology (GSCIT)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114255471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Misra, A. A. Alfa, Mikail Olayemi Olaniyi, O. S. Adewale
{"title":"Exploratory study of techniques for exploiting instruction-level parallelism","authors":"S. Misra, A. A. Alfa, Mikail Olayemi Olaniyi, O. S. Adewale","doi":"10.1109/GSCIT.2014.6970103","DOIUrl":"https://doi.org/10.1109/GSCIT.2014.6970103","url":null,"abstract":"The performance of memory system depends majorly on types of instruction constructs, speedup of executions, capacity of processing elements and scheduling techniques. Most scheduling techniques are faced with several challenges such as multiple issues, exploiting more parallelism in programs instructions, speedup rate of executions and support for conditional instructions constructs. Recent innovations in memory system and scheduling techniques required support for instruction-level parallelism (ILP) algorithm, which is overlapping of instructions sets for parallel processing and execution. To achieve these, a survey of the widely used techniques for exploiting of instruction-level parallelism (ILP) is carried out to identify their strengths and their weaknesses by reviewing several related works. This paper finds out the limitations of the various techniques for exploiting ILP and used these reviews to propose a new technique to overcome these limitations.","PeriodicalId":270622,"journal":{"name":"2014 Global Summit on Computer & Information Technology (GSCIT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130348745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Criteria for selecting software development models","authors":"Mohamed A. Ben-Zahia, I. Jaluta","doi":"10.1109/GSCIT.2014.6970099","DOIUrl":"https://doi.org/10.1109/GSCIT.2014.6970099","url":null,"abstract":"The software has been playing an important role in our daily life. A need to come up with sound methodology for developing software becomes vital. There are two methodologies that are used nowadays: the heavy weight and the light weight methodologies. Both methodologies use development models such as waterfall, agile and spiral. The paper presents the two main methodologies used in software industries with their advantages and disadvantages. The paper provides criteria for selecting the appropriate model for certain applications.","PeriodicalId":270622,"journal":{"name":"2014 Global Summit on Computer & Information Technology (GSCIT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116140416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}