2008 IEEE International Conference on Signal Image Technology and Internet Based Systems最新文献

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A Video-Based Real-Time Vehicle Counting System Using Adaptive Background Method 基于自适应背景法的视频实时车辆计数系统
Manchun Lei, D. Lefloch, P. Gouton, Kadder Madani
{"title":"A Video-Based Real-Time Vehicle Counting System Using Adaptive Background Method","authors":"Manchun Lei, D. Lefloch, P. Gouton, Kadder Madani","doi":"10.1109/SITIS.2008.91","DOIUrl":"https://doi.org/10.1109/SITIS.2008.91","url":null,"abstract":"This paper presents a video-based solution for real time vehicle detection and counting system, using a surveillance camera mounted on a relatively high place to acquire the traffic video stream.The two main methods applied in this system are: the adaptive background estimation and the Gaussian shadow elimination. The former allows a robust moving detection especially in complex scenes. The latter is based on color space HSV, which is able to deal with different size and intensity shadows. After these two operations, it obtains an image with moving vehicle extracted, and then operation counting is effected by a method called virtual detector.","PeriodicalId":202698,"journal":{"name":"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121082701","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: 54
Multi-Level Fuzzy Score Fusion for Client Specific Linear Discriminant Analysis Based Face Authentication System 基于客户端线性判别分析的多层次模糊评分融合人脸认证系统
B. Rowshan, M. Khalid, R. Yusof
{"title":"Multi-Level Fuzzy Score Fusion for Client Specific Linear Discriminant Analysis Based Face Authentication System","authors":"B. Rowshan, M. Khalid, R. Yusof","doi":"10.1109/SITIS.2008.71","DOIUrl":"https://doi.org/10.1109/SITIS.2008.71","url":null,"abstract":"A client specific linear discriminant analysis (CSLDA) based face authentication system has been developed with multi-level fuzzy score fusion. The CSLDA method provides two measures for authentication: distance to the client (Client Score) and distance to the mean of impostors (Impostor Score). A two-level multi-sample score fusion method has been proposed. A fuzzy inference module has also been developed to combine the scores of the CSLDA in the first level. The performance of fuzzy inference score fusion is then compared with several existing fusion methods and the conventional CSLDA face authentication system (without score fusion). Overall, the proposed fusion methods improve the performance of the algorithm and are more robust to variability of the inputs. Evaluation experiments were carried out with two different databases (AT&T and BANCA) where each contains face images of 40 subjects. Experimental results showed that the proposed multi-level fuzzy score fusion method improves the performance of the CSLDA based face authentication system compared to the other fusion techniques examined in this work.","PeriodicalId":202698,"journal":{"name":"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122775237","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
Web-Based Intelligent CSCW Exploiting Context-Based Reasoning 利用基于上下文推理的基于web的智能CSCW
Yoshitaka Sakurai, Avelino J. Gonzalez, Johann Nguyen, K. Takada, Ken Uchida, S. Tsuruta
{"title":"Web-Based Intelligent CSCW Exploiting Context-Based Reasoning","authors":"Yoshitaka Sakurai, Avelino J. Gonzalez, Johann Nguyen, K. Takada, Ken Uchida, S. Tsuruta","doi":"10.1109/SITIS.2008.95","DOIUrl":"https://doi.org/10.1109/SITIS.2008.95","url":null,"abstract":"In order to make CSCW (computer supported cooperative works) more intelligent and dependable, the usefulness of contextual reasoning is discussed in this paper. To ensure the project objectives are met, a project manager (PM) maintaining control of the project plays much important roles in complex projects where interaction may be limited to a web-based collaborative tool. In such limitations, he should more strongly help avoid cost overruns, shipment delays, but most importantly, product performance including product reliability. We utilize context-based reasoning (CxBR) for implementing such control measures as typically used by competent PMs. A rocket development project is used as the domain to evaluate our technique, using NASA¿s open software for rocket design. Through the experimental evaluation, the easiness of validation and refinement of Knowledge represented by CxBR is clarified. As well, this Knowledge representation is expected to be effective even for building a web-based complex and intelligent CSCW system where biological sensor fusions are included for situational assessment to aim at the further reliable collaboration support that can avoid such as misunderstanding, mishearing, etc.","PeriodicalId":202698,"journal":{"name":"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123836232","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
A Novel Palmprint Feature Processing Method Based on Skeleton Image 一种基于骨架图像的掌纹特征处理方法
Jiyi Li, Guangshun Shi
{"title":"A Novel Palmprint Feature Processing Method Based on Skeleton Image","authors":"Jiyi Li, Guangshun Shi","doi":"10.1109/SITIS.2008.48","DOIUrl":"https://doi.org/10.1109/SITIS.2008.48","url":null,"abstract":"This paper proposes a series of novel palmprint feature processing approaches based on the skeleton image. The skeleton images could be obtained from different kinds of input images and image processing approaches. This paper extracts both of the basic geometry attributes and additional structure information from the skeleton images. It extracts both of the palmprint minutiae feature and the local ridge feature, builds the relationship among the feature, and constructs the raw and rough feature set. For obtaining the final feature set, deleting the spurious feature while retaining the true feature as many as possible, the feature postprocessing approach proposed by this paper purifies the rough feature set based on the statistical and structural information, combing the information of the minutiae attribute, structural relationship in the minutiae subsets, the local ridge and the local region. We use and improve the point pattern matching approach in our previous work. It is a multi-phases minutiae matching based on both of the local structure and global feature. The experimental results reveal that the proposed feature processing approaches are effective and efficient for the practical requirement.","PeriodicalId":202698,"journal":{"name":"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126186930","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: 10
Surface Reconstruction: 3D Mesh Filtering with Feature Preserving Bi-Adaptive Algorithms 表面重建:基于特征保持双自适应算法的三维网格滤波
Pierre Kraemer, M. Fournier, D. Bechmann
{"title":"Surface Reconstruction: 3D Mesh Filtering with Feature Preserving Bi-Adaptive Algorithms","authors":"Pierre Kraemer, M. Fournier, D. Bechmann","doi":"10.1109/SITIS.2008.14","DOIUrl":"https://doi.org/10.1109/SITIS.2008.14","url":null,"abstract":"In this paper we define two bi-adaptive mesh filtering algorithms for efficient features preserving restoration of noisy models acquired from 3D scanners. The new filters are based on 2D image processing adaptive algorithms extended to 3D mesh processing. We combine two adaptive algorithms to design more efficient bi-adaptive algorithms. The first filter is applied on the mesh triangles normal vector orientation and the second filter is applied on the vertices normal vector orientation. Both filters are applied on adaptively selected local neighborhood based on a threshold angle between normal vectors. Then the algorithm to update the vertices position is also adaptive according to a local variance evaluation compared to a noise variance threshold. We compare our two bi-adaptive algorithms results to other filtering algorithms according to reliable error metrics and show the new filters outperform previous features preserving and adaptive mesh denoising methods.","PeriodicalId":202698,"journal":{"name":"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121840809","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
Fast Statistical Learning with Kernel-Based Simple-FDA 基于核的Simple-FDA快速统计学习
K. Nakaura, S. Karungaru, T. Akashi, Y. Mitsukura, M. Fukumi
{"title":"Fast Statistical Learning with Kernel-Based Simple-FDA","authors":"K. Nakaura, S. Karungaru, T. Akashi, Y. Mitsukura, M. Fukumi","doi":"10.1109/SITIS.2008.52","DOIUrl":"https://doi.org/10.1109/SITIS.2008.52","url":null,"abstract":"In this paper, new statistical learning algorithms with kernel function are presented. Recently, iterative learning algorithms for obtaining eigenvectors in the principal component analysis (PCA) have been presented in the field of pattern recognition and neural network. However, the Fisher linear discriminant analysis (FLDA) has been used in many fields, especially face image analysis. The drawback of FLDA is a long computational time based on a large-sized covariance matrix and the issue that the within-class covariance matrix is usually singular. In order to overcome this difficulty, we proposed the feature generation method simple-FLDA which is approximately derived from geometrical interpretation of FLDA. This algorithm is similar to simple-PCA and does not need matrix operation. In this paper, new statistical kernel based learning algorithms are presented. They are extended versions of simple-PCA and simple-FLDA to nonlinear space using the kernel function. Their preliminary simulation results are given for a simple face recognition problem.","PeriodicalId":202698,"journal":{"name":"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems","volume":"306 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133641889","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
Ontology-Based Knowledge Management Systems for the New Product Development Acceleration: Case of a Community of Designers of Automotives 面向新产品开发加速的基于本体的知识管理系统:以汽车设计师社区为例
Valerio Cisternino, Eliana Campi, A. Corallo, Nouha Taifi, A. Zilli
{"title":"Ontology-Based Knowledge Management Systems for the New Product Development Acceleration: Case of a Community of Designers of Automotives","authors":"Valerio Cisternino, Eliana Campi, A. Corallo, Nouha Taifi, A. Zilli","doi":"10.1109/SITIS.2008.45","DOIUrl":"https://doi.org/10.1109/SITIS.2008.45","url":null,"abstract":"Knowledge management is important for the knowledge storage and organization. Otherwise information about new product development can be dispersed or lost, thus, finding efficient manners to store knowledge in order to be able to search for it and retrieve it is necessary. Ontology is a good solution for the structuring of information and knowledge and especially in specific cases as communities of practice.In this paper, we present the followed methodology for the modeling of the ontology and the technological architecture of a knowledge management system(KMS), based on this ontology, to facilitate knowledge sharing within special communities. The modeling technique is the IDEF0 methodology, the ontology is codified using the OWL language and the KMS is supported by the OC4J of the J2EE server.","PeriodicalId":202698,"journal":{"name":"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130492317","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
Query Planning in DHT Based RDF Stores 基于DHT的RDF存储中的查询规划
Dominic Battré
{"title":"Query Planning in DHT Based RDF Stores","authors":"Dominic Battré","doi":"10.1109/SITIS.2008.15","DOIUrl":"https://doi.org/10.1109/SITIS.2008.15","url":null,"abstract":"Implementing scalable RDF triple stores that can store many triples and process many queries concurrently is challenging. Several projects have investigated the use of distributed hash tables for this task but query planning has received little attention in this context so far. Given the distributed nature of DHTs, latencies of messages and limited network bandwidth are crucial factors to consider. Also due to a lack of global knowledge in DHTs, query planning is different from centralized databases. This paper discusses a set of heuristics and evaluates their performance on the Lehigh University Benchmark with emphasis on the network traffic. The results show the importance of query planning in DHT based RDF triple stores.","PeriodicalId":202698,"journal":{"name":"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133303201","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: 9
Reusing Knowledge by Multi Agent System and Ontology 基于多智能体系统和本体的知识重用
Achraf Ben Miled, V. Hilaire, D. Monticolo, A. Koukam
{"title":"Reusing Knowledge by Multi Agent System and Ontology","authors":"Achraf Ben Miled, V. Hilaire, D. Monticolo, A. Koukam","doi":"10.1109/SITIS.2008.44","DOIUrl":"https://doi.org/10.1109/SITIS.2008.44","url":null,"abstract":"The work presented in this paper is related to the knowledge management. We aim to reuse knowledge during the design processes, in order to help designers in all the phases of the products design.We propose a reuse knowledge approach based on the assistance of the professional actors with an automatic push (proposition) of knowledge and ease pull (search) of knowledge by helping individual searches. This approach is based upon a knowledge reuse system (KRS) which takes into account the roles of the professional actors and their collaborations throughout the product design process in order to bring an automatic help to the actors.","PeriodicalId":202698,"journal":{"name":"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems","volume":"834 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133848688","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: 6
An Incremental Algorithm for Clustering Search Results 一种搜索结果聚类的增量算法
Yongli Liu, Y. Ouyang, Hao Sheng, Z. Xiong
{"title":"An Incremental Algorithm for Clustering Search Results","authors":"Yongli Liu, Y. Ouyang, Hao Sheng, Z. Xiong","doi":"10.1109/SITIS.2008.53","DOIUrl":"https://doi.org/10.1109/SITIS.2008.53","url":null,"abstract":"When Internet users are facing massive search results, document clustering techniques are very helpful. Generally, existing clustering methods start with a known set of data objects, measured against a known set of attributes. However, there are numerous applications where the attribute set can only obtained gradually as processing data objects incrementally. This paper presents an incremental clustering algorithm (ICA) for clustering search results, which relies on pair-wise search result similarity calculated using Jaccard method. We use a measure namely, cluster average similarity area to score cluster cohesiveness. Experimental results show that our algorithm leads to less computational time than traditional clustering method while achieving a comparable or better clustering quality.","PeriodicalId":202698,"journal":{"name":"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems","volume":"218 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122852384","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
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