2014 9th International Conference on Computer Engineering & Systems (ICCES)最新文献_第5页

Plant classification system based on leaf features 基于叶片特征的植物分类系统

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030971

Esraa Elhariri, Nashwa El-Bendary, A. Hassanien

引用次数: 55

An Enhanced Queries Scheduler for query processing over a cloud environment 用于在云环境上进行查询处理的增强型查询调度器

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030996

Eman A. Maghawry, R. Ismail, N. Badr, M. Tolba

引用次数: 3

A proposed framework for robust face identification system 提出了一种鲁棒人脸识别系统框架

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030929

N. Semary, Ahmed F. Gad

{"title":"A proposed framework for robust face identification system","authors":"N. Semary, Ahmed F. Gad","doi":"10.1109/ICCES.2014.7030929","DOIUrl":"https://doi.org/10.1109/ICCES.2014.7030929","url":null,"abstract":"Human face is the most representative part of body that can be used to differentiate one person among others. Accurate face identification system is still a challenge to Image Processing and Pattern Recognition researchers. In this paper, a complete framework for face-based personal identification system is proposed. The proposed frame work is composite of three basic stages; face skin detection (FSD), facial features positioning (FFP), representative features extraction (RFE) and face matching (FM). For FSD stage, RGB-H-CbCr color model is used after a comparative study between different color models. Enhanced Haar-like features are utilized for FFP stage. After accurate features positioning, the representative features are calculated using the centers of eyes, nose and mouth organs. The experimental results of this paper depict that the proposed frame work accurately identify persons of The Center for Vital Longevity Face Database. The proposed system could Identify the correct person with 40 saved image with accuracy 98%, while it could reject wrong persons with accuracy 98.17%. The overall accuracy of correct identification reaches 98.14%.","PeriodicalId":339697,"journal":{"name":"2014 9th International Conference on Computer Engineering & Systems (ICCES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116090557","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: 4

Partially Occluded Pedestrian Classification using Three Stage Cascaded Classifier 基于三级级联分类器的部分遮挡行人分类

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030926

S. Aly, Loay Hassan, A. Sagheer

{"title":"Partially Occluded Pedestrian Classification using Three Stage Cascaded Classifier","authors":"S. Aly, Loay Hassan, A. Sagheer","doi":"10.1109/ICCES.2014.7030926","DOIUrl":"https://doi.org/10.1109/ICCES.2014.7030926","url":null,"abstract":"Pedestrian detection is an important area in computer vision with key applications in intelligent vehicle and surveillance systems. One of the main challenges in pedestrian detection is occlusion. In this paper, we propose a novel pedestrian detection approach capable of handling partial occlusion. Three stage cascaded classifier is used in the proposed approach. Global classifier based on HOG features and linear-SVM is first employed to classify the whole scanning window. For ambiguous patterns, a set of part-based classifiers trained on features derived from non-occluded dataset are employed on the second stage. Several fusion methods including average, maximum, linear and non-linear SVM classifiers are examined to combine the obtained part scores. The linear/non-linear fusion coefficients are estimated by learning an additional third stage SVM classifier. The training data in the third stage classifier is augmented by generating a set of artificially occluded samples which simulate real occlusion conditions commonly occurred in pedestrians. Experimental results using Daimler and INRIA data sets show the effectiveness of the proposed approach.","PeriodicalId":339697,"journal":{"name":"2014 9th International Conference on Computer Engineering & Systems (ICCES)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131668565","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

A simplified multiplatform communication framework for mobile applications 用于移动应用程序的简化的多平台通信框架

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030917

Federico Cristina, Sebastián H. Dapoto, Pablo J. Thomas, Patricia Pesado

引用次数: 5

New approach for feature selection based on rough set and bat algorithm 基于粗糙集和蝙蝠算法的特征选择新方法

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030984

E. Emary, Waleed Yamany, A. Hassanien

{"title":"New approach for feature selection based on rough set and bat algorithm","authors":"E. Emary, Waleed Yamany, A. Hassanien","doi":"10.1109/ICCES.2014.7030984","DOIUrl":"https://doi.org/10.1109/ICCES.2014.7030984","url":null,"abstract":"This paper presents a new feature selection technique based on rough sets and bat algorithm (BA). BA is attractive for feature selection in that bats will discover best feature combinations as they fly within the feature subset space. Compared with GAs, BA does not need complex operators such as crossover and mutation, it requires only primitive and simple mathematical operators, and is computationally inexpensive in terms of both memory and runtime. A fitness function based on rough-sets is designed as a target for the optimization. The used fitness function incorporates both the classification accuracy and number of selected features and hence balances the classification performance and reduction size. This paper make use of four initialisation strategies for starting the optimization and studies its effect on bat performance. The used initialization reflects forward and backward feature selection and combination of both. Experimentation is carried out using UCI data sets which compares the proposed algorithm with a GA-based and PSO approaches for feature reduction based on rough-set algorithms. The results on different data sets shows that bat algorithm is efficient for rough set-based feature selection. The used rough-set based fitness function ensures better classification result keeping also minor feature size.","PeriodicalId":339697,"journal":{"name":"2014 9th International Conference on Computer Engineering & Systems (ICCES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129462602","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

Improved 3D modeling using multistage feature extraction and matching 使用多阶段特征提取和匹配改进了3D建模

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030992

Mohamed A. Mohamed, Abdelhameed Ibrahim, E. A. Othman

引用次数: 1

PFinder: Efficiently detecting bugs in concurrent programs through parallelizing race verification PFinder:通过并行竞争验证有效地检测并发程序中的错误

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030948

Zhendong Wu, Kai Lu, Xiaoping Wang, Xu Zhou, Chen Chen

引用次数: 2

Burrows-Wheeler Transform and combination of Move-to-Front coding and Run Length Encoding for lossless audio coding Burrows-Wheeler变换和移动到前端编码和运行长度编码的组合用于无损音频编码

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030985

H. Elsayed

引用次数: 7

Modelling of CVBF algorithm using Coloured Petri Nets 彩色Petri网的CVBF算法建模

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030921

Dina M. Ibrahim, E. Sallam, T. Eltobely, M. Fahmy

引用次数: 1