发布求助
文献互助 智能选刊 最新文献

2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)最新文献

筛选
英文 中文
Face Classification under Different Kernel Function Compared to KNN Classifier 不同核函数下人脸分类与KNN分类器的比较
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.52
B. Nassih, N. Hmina, A. Amine
{"title":"Face Classification under Different Kernel Function Compared to KNN Classifier","authors":"B. Nassih, N. Hmina, A. Amine","doi":"10.1109/CGIV.2016.52","DOIUrl":"https://doi.org/10.1109/CGIV.2016.52","url":null,"abstract":"In this paper, we present a comparative study between Daubechies-DCT approach, Discrete Cosine Transform (DCT) and Histograms of Oriented Gradient (HOG) under different kind of kernel function. We obtain Daubechies-DCT by fusing the DCT features and Daubechies features. The implementation of HOG achieved by dividing the face image into small connected regions, named cells, and for each cell compiling a histogram of gradient directions. We use the fusion of DCT and Daubechies wavelets then, HOG method to process face classification focused on SVM (Support Vector Machine) and KNN (K Nearest Neighbors) classifiers. The fusion features are inputted into SVM and KNN classifiers. Results show that the HOG with SVM-Rbf kernel function achieves the highest performance in terms of the detection rate which we obtained 96.5%. We present experimental results applied on MIT face database to demonstrate the effectiveness of a novel comparative study in terms of accuracy and running time.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123793002","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}
引用次数: 2
An Energy Consumption Evaluation of Reactive and Proactive Routing Protocols in Mobile Ad-Hoc Network 移动Ad-Hoc网络中被动和主动路由协议的能耗评估
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.90
M. Er-rouidi, H. Moudni, H. Mouncif, A. Merbouha
{"title":"An Energy Consumption Evaluation of Reactive and Proactive Routing Protocols in Mobile Ad-Hoc Network","authors":"M. Er-rouidi, H. Moudni, H. Mouncif, A. Merbouha","doi":"10.1109/CGIV.2016.90","DOIUrl":"https://doi.org/10.1109/CGIV.2016.90","url":null,"abstract":"In Mobile Ad-hoc NETwork (MANET) each node has the possibility to move freely in the space and communicate with each other over wireless link without any centralized controller or base station. These characteristics makes MANET useful and practical in several fields like military scenarios, sensor networks, Rescue operations, students on campus, etc. but this kind of network still suffers from a number of problems, power consumption is one of the most crucial design concerns in Mobile Ad-hoc networks as the nodes in MANET have battery limited. In this paper, we will discuss about the aspect of energy consumption in MANET's routing protocols. A performance comparison of four routing protocols Dynamic Source Routing (DSR), Ad hoc On-Demand Distance Vector (AODV), Destination-Sequenced Distance Vector (DSDV) and Optimized Link State Routing (OLSR) with respect to average energy consumption are explained thoroughly. Then, an evaluation of how the varying parameters of network in diverse scenarios affect the power consumption in these four protocols is discussed. A detailed simulation model using Network Simulator 2 (NS2) with different mobility and traffic models is used to study their energy consumption.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123170767","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}
引用次数: 21
Attacks against AODV Routing Protocol in Mobile Ad-Hoc Networks 针对移动Ad-Hoc网络AODV路由协议的攻击
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.81
H. Moudni, M. Er-rouidi, H. Mouncif, Benachir El Hadadi
{"title":"Attacks against AODV Routing Protocol in Mobile Ad-Hoc Networks","authors":"H. Moudni, M. Er-rouidi, H. Mouncif, Benachir El Hadadi","doi":"10.1109/CGIV.2016.81","DOIUrl":"https://doi.org/10.1109/CGIV.2016.81","url":null,"abstract":"A Mobile Ad hoc NETwork (MANET) is much more vulnerable to attack than a wired network due to the dynamic changes of the network topology, high mobility, limited physical security and lack of centralized administration. Unfortunately, the routing protocols are designed based on the assumption that all nodes trust each other and cooperate without maliciously disrupting the operation of routing. This paper analyzes the impact of security attacks on the performance of the AODV routing protocol. Simulations are setup in the NS-2 network simulator and the performance of the AODV routing protocol is discussed under black hole, flooding and rushing attacks. This analysis is provided in terms of performance metrics, such as a packet delivery ratio, the average end-to-end delay and normalized routing load.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121609412","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}
引用次数: 16
Human Identification Based on the Palmar Surface of the Hand 基于手掌表面的人体识别
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.19
S. Ben Jemaa, Mohamed Hammami
{"title":"Human Identification Based on the Palmar Surface of the Hand","authors":"S. Ben Jemaa, Mohamed Hammami","doi":"10.1109/CGIV.2016.19","DOIUrl":"https://doi.org/10.1109/CGIV.2016.19","url":null,"abstract":"In this paper, we investigate a new multimodal biometric approach for personal recognition, based on two different biometrics computed from the same hand image: palmprint and fingerprint surface. The detection of these modalities is conducted with no constraints imposed on the subject. In addition, this approach has the particularity of using a new fusion scheme based on the rank level integration method to consolidate the results obtained from the different biometric instances. Rank level fusion is a relatively new fusion approach. It is not a well-studied research problem, yet it has a high potential for efficient consolidation of multiple unimodal biometric outputs matching. To the best of our knowledge, we present the first application of the rank level fusion to consolidate the rank information produced by the five individual fingerprint surface and the palmprint. The achieved experimental results have shown that the designed system achieves an excellent recognition rate and provides more security than unimodal biometric system.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114520589","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}
引用次数: 0
Enhancing EEG Surface Resolution by Using a Combination of Kalman Filter and Interpolation Method 利用卡尔曼滤波和插值相结合的方法提高脑电表面分辨率
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.74
Ibtissem Khouaja, I. Nouira, M. H. Bedoui, M. Akil
{"title":"Enhancing EEG Surface Resolution by Using a Combination of Kalman Filter and Interpolation Method","authors":"Ibtissem Khouaja, I. Nouira, M. H. Bedoui, M. Akil","doi":"10.1109/CGIV.2016.74","DOIUrl":"https://doi.org/10.1109/CGIV.2016.74","url":null,"abstract":"With recent progress in the medical signals processing, the EEG allows to study the Brain functioning with a high temporal and spatial resolution. This approach is possible by combining the standard processing algorithms of cortical brain waves with characterization and interpolation methods. First, a new vector of characteristics for each EEG channel was introduced using the Extended Kalman filter (EKF). Next, the spherical spline interpolation technique was applied in order to rebuild other vectors corresponding to virtual electrodes. The temporal variation of these vectors was restored by applying the EKF. Finally, the accuracy of the method has been estimated by calculating the error between the actual and interpolated signal after passing by the characterization method with the Root Mean Square Error algorithm (RMSE).","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"295 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115851632","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}
引用次数: 1
Improving Pedestrian Detection Using Support Vector Regression 利用支持向量回归改进行人检测
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.38
Mounir Errami, M. Rziza
{"title":"Improving Pedestrian Detection Using Support Vector Regression","authors":"Mounir Errami, M. Rziza","doi":"10.1109/CGIV.2016.38","DOIUrl":"https://doi.org/10.1109/CGIV.2016.38","url":null,"abstract":"Pedestrian detection has been always a challenging problem in computer vision. Numerous approaches based on features extraction and classification have been proposed over the years. In this paper, we present a novel pedestrian detection approach based on supervised classification. We propose here the use of basic statistical operators to adapt support vector regression (SVR) to binary classification. The classification chain adopted in this work is presented as follows: First, we use Haar wavelet decomposition and Histograms of Oriented Gradients (HOG) for features extraction. For the classification task, we use our proposed method and compare it with KNN and SVM classifiers. Experiments have been done on a public pedestrian data set. The obtained results prove the high performance of our proposed classification approach.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117025464","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}
引用次数: 13
New Approach of Visual Activity Measuring with Background Subtraction Algorithms 基于背景减法的视觉活动测量新方法
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.49
K. Dokic, Robert Idlbek, Antun Marinac
{"title":"New Approach of Visual Activity Measuring with Background Subtraction Algorithms","authors":"K. Dokic, Robert Idlbek, Antun Marinac","doi":"10.1109/CGIV.2016.49","DOIUrl":"https://doi.org/10.1109/CGIV.2016.49","url":null,"abstract":"Visual activity is a term that some authors use to describe motion and movement in video content and same authors also have proved increase in visual activity of video content during the last few decades. Background subtraction algorithms are commonly used for motion detection in the field of computer vision. In this paper one new approach for visual activity measuring with these algorithms will be discussed and compared with Visual Activity Index, the only available comprehensive approach for visual activity measuring.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122636283","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}
引用次数: 0
Face Recognition Based on City-Block and Mahalanobis Cosine Distance 基于城市街区和马氏余弦距离的人脸识别
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.30
A. Abbad, K. Abbad, H. Tairi
{"title":"Face Recognition Based on City-Block and Mahalanobis Cosine Distance","authors":"A. Abbad, K. Abbad, H. Tairi","doi":"10.1109/CGIV.2016.30","DOIUrl":"https://doi.org/10.1109/CGIV.2016.30","url":null,"abstract":"In this paper we propose a new powerful face recognition method to increase the performance of face recognition algorithms. In our idea we integrate two dissimilarity measures namely City-block and Mahalanobis Cosine distance. The experiments are performed on the ORL database and YALE database. The results indicate the interest of the proposed technique compared to others methods of literature.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124824505","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}
引用次数: 5
Modelisation of Raindrops Based on Declivity Principle 基于倾斜原理的雨滴模型化
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.55
Elhassouni Fouad, A. Salma, Ezzine Abdelhak
{"title":"Modelisation of Raindrops Based on Declivity Principle","authors":"Elhassouni Fouad, A. Salma, Ezzine Abdelhak","doi":"10.1109/CGIV.2016.55","DOIUrl":"https://doi.org/10.1109/CGIV.2016.55","url":null,"abstract":"Performances of driver assistance systems depend on weather conditions: when the later deteriorate, for instance due to fog or rain, the performances deteriorate too. We hereby present a new approach of modelling raindrops on the windshield using the declivity principle applied in different plans. Our goal is to define a profile of raindrops by analyzing intensities behavior in different planes - horizontal, vertical, left-diagonal, and right-diagonal - based on the declivity principle's properties.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129667241","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}
引用次数: 3
A Stereo Planar Self-Calibration Method of a Camera with Variable Intrinsic Parameters 变内参相机的立体平面自标定方法
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.11
I. El Batteoui, K. Satori, A. Saaidi
{"title":"A Stereo Planar Self-Calibration Method of a Camera with Variable Intrinsic Parameters","authors":"I. El Batteoui, K. Satori, A. Saaidi","doi":"10.1109/CGIV.2016.11","DOIUrl":"https://doi.org/10.1109/CGIV.2016.11","url":null,"abstract":"In this work a robust technique of camera self-calibration with variable intrinsic parameters from unknown planar scene is presented. The main idea of our present method consists to use only two images of the scene by basing on the corresponding points between the two images which are numerous and easy to determine, the handling of only two images reduces remarkably the computation time of our method. From the projection of only two scene points and by using the image of absolute conic we will show that it's possible to obtain a set of self-calibration equations according to the intrinsic camera parameters. These equations are non-linear which required formulating of a non-linear cost function according to the intrinsic camera parameters which its minimization permits us to estimate these parameters in each image. The obtained experimental results on the synthetic and real images show the robustness and the reliability of our method.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"441 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116330756","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}
引用次数: 2
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信