IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics最新文献_第3页

Online Signature Verification Based on Generative Models. 基于生成模型的在线签名验证。

IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics Pub Date : 2012-08-01 Epub Date: 2012-04-04 DOI: 10.1109/TSMCB.2012.2188508

E Argones Rua, J L Alba Castro

{"title":"Online Signature Verification Based on Generative Models.","authors":"E Argones Rua, J L Alba Castro","doi":"10.1109/TSMCB.2012.2188508","DOIUrl":"https://doi.org/10.1109/TSMCB.2012.2188508","url":null,"abstract":"The success of generative models for online signature verification has motivated many research works on this topic. These systems may use hidden Markov models (HMMs) in two different modes: user-specific HMM (US-HMM) and user-adapted universal background models (UBMs) (UA-UBMs). Verification scores can be obtained from likelihood ratios and a distance measure on the Viterbi decoded state sequences. This paper analyzes several factors that can modify the behavior of these systems and which have not been deeply studied yet. First, we study the influence of the feature set choice, paying special attention to the role of dynamic information order, suitability of feature sets on each kind of generative model-based system, and the importance of inclination angles and pressure. Moreover, this analysis is also extended to the influence of the HMM complexity in the performance of the different approaches. For this study, a set of experiments is performed on the publicly available MCYT-100 database using only skilled forgeries. These experiments provide interesting outcomes. First, the Viterbi path evidences a notable stability for most of the feature sets and systems. Second, in the case of US-HMM systems, likelihood evidence obtains better results when lowest order dynamics are included in the feature set, while likelihood ratio obtains better results in UA-UBM systems when lowest dynamics are not included in the feature set. Finally, US-HMM and UA-UBM systems can be used together for improved verification performance by fusing at the score level the Viterbi path information from the US-HMM system and the likelihood ratio evidence from the UA-UBM system. Additional comparisons to other state-of-the-art systems, from the ESRA 2011 signature evaluation contest, are also reported, reinforcing the high performance of the systems and the generality of the experimental results described in this paper. ","PeriodicalId":55006,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics","volume":" ","pages":"1231-42"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TSMCB.2012.2188508","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30563922","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: 68

Facial Action Recognition Combining Heterogeneous Features via Multikernel Learning. 基于多核学习的异构特征面部动作识别。

IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics Pub Date : 2012-08-01 Epub Date: 2012-05-18 DOI: 10.1109/TSMCB.2012.2193567

T Senechal, V Rapp, H Salam, R Seguier, K Bailly, L Prevost

{"title":"Facial Action Recognition Combining Heterogeneous Features via Multikernel Learning.","authors":"T Senechal, V Rapp, H Salam, R Seguier, K Bailly, L Prevost","doi":"10.1109/TSMCB.2012.2193567","DOIUrl":"https://doi.org/10.1109/TSMCB.2012.2193567","url":null,"abstract":"This paper presents our response to the first international challenge on facial emotion recognition and analysis. We propose to combine different types of features to automatically detect action units (AUs) in facial images. We use one multikernel support vector machine (SVM) for each AU we want to detect. The first kernel matrix is computed using local Gabor binary pattern histograms and a histogram intersection kernel. The second kernel matrix is computed from active appearance model coefficients and a radial basis function kernel. During the training step, we combine these two types of features using the recently proposed SimpleMKL algorithm. SVM outputs are then averaged to exploit temporal information in the sequence. To evaluate our system, we perform deep experimentation on several key issues: influence of features and kernel function in histogram-based SVM approaches, influence of spatially independent information versus geometric local appearance information and benefits of combining both, sensitivity to training data, and interest of temporal context adaptation. We also compare our results with those of the other participants and try to explain why our method had the best performance during the facial expression recognition and analysis challenge. ","PeriodicalId":55006,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics","volume":" ","pages":"993-1005"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TSMCB.2012.2193567","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30641266","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: 136

A New Adaptive Fast Cellular Automaton Neighborhood Detection and Rule Identification Algorithm. 一种新的自适应快速元胞自动机邻域检测与规则识别算法。

IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics Pub Date : 2012-08-01 Epub Date: 2012-06-07 DOI: 10.1109/TSMCB.2012.2185790

Y Zhao, H L Wei, S A Billings

{"title":"A New Adaptive Fast Cellular Automaton Neighborhood Detection and Rule Identification Algorithm.","authors":"Y Zhao, H L Wei, S A Billings","doi":"10.1109/TSMCB.2012.2185790","DOIUrl":"https://doi.org/10.1109/TSMCB.2012.2185790","url":null,"abstract":"An important step in the identification of cellular automata (CA) is to detect the correct neighborhood before parameter estimation. Many authors have suggested procedures based on the removal of redundant neighbors from a very large initial neighborhood one by one to find the real model, but this often induces ill conditioning and overfitting. This is true particularly for a large initial neighborhood where there are few significant terms, and this will be demonstrated by an example in this paper. By introducing a new criteria and three new techniques, this paper proposes a new adaptive fast CA orthogonal-least-square (Adaptive-FCA-OLS) algorithm, which cannot only adaptively search for the correct neighborhood without any preset tolerance but can also considerably reduce the computational complexity and memory usage. Several numerical examples demonstrate that the Adaptive-FCA-OLS algorithm has better robustness to noise and to the size of the initial neighborhood than other recently developed neighborhood detection methods in the identification of binary CA. ","PeriodicalId":55006,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics","volume":" ","pages":"1283-7"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TSMCB.2012.2185790","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30688485","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

Prediction of User's Web-Browsing Behavior: Application of Markov Model. 用户网络浏览行为预测:马尔可夫模型的应用。

IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics Pub Date : 2012-08-01 Epub Date: 2012-03-02 DOI: 10.1109/TSMCB.2012.2187441

M A Awad, I Khalil

{"title":"Prediction of User's Web-Browsing Behavior: Application of Markov Model.","authors":"M A Awad, I Khalil","doi":"10.1109/TSMCB.2012.2187441","DOIUrl":"https://doi.org/10.1109/TSMCB.2012.2187441","url":null,"abstract":"Web prediction is a classification problem in which we attempt to predict the next set of Web pages that a user may visit based on the knowledge of the previously visited pages. Predicting user's behavior while serving the Internet can be applied effectively in various critical applications. Such application has traditional tradeoffs between modeling complexity and prediction accuracy. In this paper, we analyze and study Markov model and all- Kth Markov model in Web prediction. We propose a new modified Markov model to alleviate the issue of scalability in the number of paths. In addition, we present a new two-tier prediction framework that creates an example classifier EC, based on the training examples and the generated classifiers. We show that such framework can improve the prediction time without compromising prediction accuracy. We have used standard benchmark data sets to analyze, compare, and demonstrate the effectiveness of our techniques using variations of Markov models and association rule mining. Our experiments show the effectiveness of our modified Markov model in reducing the number of paths without compromising accuracy. Additionally, the results support our analysis conclusions that accuracy improves with higher orders of all- Kth model. ","PeriodicalId":55006,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics","volume":" ","pages":"1131-42"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TSMCB.2012.2187441","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40144890","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: 143

Visual Control for Multirobot Organized Rendezvous. 多机器人组织交会的视觉控制。

IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics Pub Date : 2012-08-01 Epub Date: 2012-03-02 DOI: 10.1109/TSMCB.2012.2187639

G Lopez-Nicolas, M Aranda, Y Mezouar, C Sagues

{"title":"Visual Control for Multirobot Organized Rendezvous.","authors":"G Lopez-Nicolas, M Aranda, Y Mezouar, C Sagues","doi":"10.1109/TSMCB.2012.2187639","DOIUrl":"https://doi.org/10.1109/TSMCB.2012.2187639","url":null,"abstract":"This paper addresses the problem of visual control of a set of mobile robots. In our framework, the perception system consists of an uncalibrated flying camera performing an unknown general motion. The robots are assumed to undergo planar motion considering nonholonomic constraints. The goal of the control task is to drive the multirobot system to a desired rendezvous configuration relying solely on visual information given by the flying camera. The desired multirobot configuration is defined with an image of the set of robots in that configuration without any additional information. We propose a homography-based framework relying on the homography induced by the multirobot system that gives a desired homography to be used to define the reference target, and a new image-based control law that drives the robots to the desired configuration by imposing a rigidity constraint. This paper extends our previous work, and the main contributions are that the motion constraints on the flying camera are removed, the control law is improved by reducing the number of required steps, the stability of the new control law is proved, and real experiments are provided to validate the proposal. ","PeriodicalId":55006,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics","volume":" ","pages":"1155-68"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TSMCB.2012.2187639","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40144891","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: 24

Chaotic Dynamics in Social Foraging Swarms-An Analysis. 社会觅食群体的混沌动力学分析

IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics Pub Date : 2012-08-01 Epub Date: 2012-03-08 DOI: 10.1109/TSMCB.2012.2186799

S Das, U Halder, D Maity

引用次数: 21

Meta-Analysis of the First Facial Expression Recognition Challenge. 第一次面部表情识别挑战的元分析。

IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics Pub Date : 2012-08-01 Epub Date: 2012-06-20 DOI: 10.1109/TSMCB.2012.2200675

M F Valstar, M Mehu, Bihan Jiang, M Pantic, K Scherer

{"title":"Meta-Analysis of the First Facial Expression Recognition Challenge.","authors":"M F Valstar, M Mehu, Bihan Jiang, M Pantic, K Scherer","doi":"10.1109/TSMCB.2012.2200675","DOIUrl":"https://doi.org/10.1109/TSMCB.2012.2200675","url":null,"abstract":"Automatic facial expression recognition has been an active topic in computer science for over two decades, in particular facial action coding system action unit (AU) detection and classification of a number of discrete emotion states from facial expressive imagery. Standardization and comparability have received some attention; for instance, there exist a number of commonly used facial expression databases. However, lack of a commonly accepted evaluation protocol and, typically, lack of sufficient details needed to reproduce the reported individual results make it difficult to compare systems. This, in turn, hinders the progress of the field. A periodical challenge in facial expression recognition would allow such a comparison on a level playing field. It would provide an insight on how far the field has come and would allow researchers to identify new goals, challenges, and targets. This paper presents a meta-analysis of the first such challenge in automatic recognition of facial expressions, held during the IEEE conference on Face and Gesture Recognition 2011. It details the challenge data, evaluation protocol, and the results attained in two subchallenges: AU detection and classification of facial expression imagery in terms of a number of discrete emotion categories. We also summarize the lessons learned and reflect on the future of the field of facial expression recognition in general and on possible future challenges in particular. ","PeriodicalId":55006,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics","volume":" ","pages":"966-79"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TSMCB.2012.2200675","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30721894","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: 292

Adapting the Right Measures for Pattern Discovery: A Unified View. 适应模式发现的正确方法:一个统一的观点。

IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics Pub Date : 2012-08-01 Epub Date: 2012-03-09 DOI: 10.1109/TSMCB.2012.2188283

Junjie Wu, Shiwei Zhu, Hui Xiong, Jian Chen, Jianming Zhu

引用次数: 8

Face Feature Weighted Fusion Based on Fuzzy Membership Degree for Video Face Recognition. 基于模糊隶属度的人脸特征加权融合视频人脸识别。

IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics Pub Date : 2012-08-01 Epub Date: 2012-06-12 DOI: 10.1109/TSMCB.2012.2185693

Jae Young Choi, K N Plataniotis, Yong Man Ro

引用次数: 23

Combining Tensor Space Analysis and Active Appearance Models for Aging Effect Simulation on Face Images. 结合张量空间分析和主动外观模型的人脸图像老化效应仿真。

IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics Pub Date : 2012-08-01 Epub Date: 2012-03-02 DOI: 10.1109/TSMCB.2012.2187051

Yunhong Wang, Zhaoxiang Zhang, Weixin Li, Fangyuan Jiang

{"title":"Combining Tensor Space Analysis and Active Appearance Models for Aging Effect Simulation on Face Images.","authors":"Yunhong Wang, Zhaoxiang Zhang, Weixin Li, Fangyuan Jiang","doi":"10.1109/TSMCB.2012.2187051","DOIUrl":"https://doi.org/10.1109/TSMCB.2012.2187051","url":null,"abstract":"Applications of the simulation of adult aging effects are widespread nowadays, whereas the difficulties in certain aspects restrict its development. In this paper, a method is proposed for simulating adult facial aging effects by means of super-resolution. Accounting for the nature of multimodalities in the face image set, multilinear algebra is introduced to represent and process the whole image set in tensor space. To ameliorate the aging simulation results generated by merely the super-resolution method, we further adopt active appearance models to reduce the blurring effects of the results through adding normalization of the faces and postprocessing to the algorithm. To evaluate our aging simulation method, the aged faces obtained are compared with the ground-truth face images of the same individuals and also assessed by several volunteers mainly from two perspectives: the aged faces' perceived age and their preservation effects of the original identities of subjects in the test images. Additionally, objective experiments based on an automatic age estimator and a face recognition method using eigenfaces are also conducted as another way of the evaluation. ","PeriodicalId":55006,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics","volume":" ","pages":"1107-18"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TSMCB.2012.2187051","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40144889","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