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2007 5th International Symposium on Image and Signal Processing and Analysis最新文献

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Tracking a High Maneuver Target Based on Intelligent Matrix Covariance Resetting 基于智能矩阵协方差重置的高机动目标跟踪
2007 5th International Symposium on Image and Signal Processing and Analysis Pub Date : 2007-11-19 DOI: 10.1109/ISPA.2007.4383660
M. H. Bahari, F. Moharrami, M. A. Ebrahimi Ganjeh, A. Karsaz
{"title":"Tracking a High Maneuver Target Based on Intelligent Matrix Covariance Resetting","authors":"M. H. Bahari, F. Moharrami, M. A. Ebrahimi Ganjeh, A. Karsaz","doi":"10.1109/ISPA.2007.4383660","DOIUrl":"https://doi.org/10.1109/ISPA.2007.4383660","url":null,"abstract":"A high accurate tracking technique with the use of intelligent approach on matrix covariance resetting is proposed in this paper. In practice, the conventional Kalman filters have a fast convergence rate at the beginning. However, after some iteration the Kalman filter steps become very small. To overcome this defect and to make use of Kalman filter abilities, the matrix covariance resetting idea is used. The matrix covariance presetting usually is used to improve the tracking algorithm result especially for high maneuvering targets. To determine the optimal value of the unknown resetting parameter in each step, the intelligent fuzzy block is used. In this paper, an innovative technique is presented, which resets covariance matrix by using fuzzy logic. It is demonstrated by means of numerical acceleration examples that the tracking capability of the proposed method is essentially as good as that of the traditional methods, especially for high maneuver targets.","PeriodicalId":112420,"journal":{"name":"2007 5th International Symposium on Image and Signal Processing and Analysis","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131458577","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
Object Motion in Bayesian Propagation of Ovals 椭圆贝叶斯传播中的物体运动
2007 5th International Symposium on Image and Signal Processing and Analysis Pub Date : 2007-11-19 DOI: 10.1109/ISPA.2007.4383662
Z. Q. Huang, Zhuhan Jiang
{"title":"Object Motion in Bayesian Propagation of Ovals","authors":"Z. Q. Huang, Zhuhan Jiang","doi":"10.1109/ISPA.2007.4383662","DOIUrl":"https://doi.org/10.1109/ISPA.2007.4383662","url":null,"abstract":"Many tracking applications seek essentially the whereabouts of the object of interest, its rough location and shape size rather than its precise body outline. This often relieves the problem of much of the computing complexity. We here propose a tracking method that is based on approximating with an oval the moving object in a video sequence of moving background. Through the use of the proximate distribution densities of the local regions, the discriminating features of the object are extracted from a small neighborhood of the local region containing the tracked object. By estimating the object's location probability in a Bayesian framework, we identify the object via an approximating oval, thus using the ovals to trace the object motion. The method remains effective even when there are certain object occlusion, and illumination and shape changes.","PeriodicalId":112420,"journal":{"name":"2007 5th International Symposium on Image and Signal Processing and Analysis","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122189369","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
Pseudo multivariate morphological operators based on α-trimmed lexicographical extrema 基于α-修剪词典极值的伪多元形态学算子
2007 5th International Symposium on Image and Signal Processing and Analysis Pub Date : 2007-11-19 DOI: 10.1109/ISPA.2007.4383721
E. Aptoula, S. Lefèvre
{"title":"Pseudo multivariate morphological operators based on α-trimmed lexicographical extrema","authors":"E. Aptoula, S. Lefèvre","doi":"10.1109/ISPA.2007.4383721","DOIUrl":"https://doi.org/10.1109/ISPA.2007.4383721","url":null,"abstract":"The extension of mathematical morphology to color and more generally to multivariate image data is still an open problem. The definition of multivariate morphological operators requires the introduction of a complete lattice structure on the image data, hence vectorial extrema computation methods are necessary. In this paper, we propose a lexicographical approach with this end, based on the principle of a-trimming, that leads to flexible, but nevertheless pseudo-morphological operators, in the sense that there is no underlying binary ordering relation among the vectors. Moreover a possible solution to this problem is presented as well as a way of automatically computing the parameter a based on statistical measures. The results of a series of color noise reduction experiments are also included, illustrating the superior performance of the proposed approach against uncorrelated Gaussian noise, with respect to state-of-the-art vector ordering schemes.","PeriodicalId":112420,"journal":{"name":"2007 5th International Symposium on Image and Signal Processing and Analysis","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130465837","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
Genetic Algorithm for Selection of Best Feature and Window Length for a Discriminate Pre-seizure and Normal State Classification 选择最佳特征和窗口长度的遗传算法用于判别癫痫前和正常状态分类
2007 5th International Symposium on Image and Signal Processing and Analysis Pub Date : 2007-11-19 DOI: 10.1109/ISPA.2007.4383673
P. Ataee, A. Yazdani, S. Setarehdan, H. A. Noubari
{"title":"Genetic Algorithm for Selection of Best Feature and Window Length for a Discriminate Pre-seizure and Normal State Classification","authors":"P. Ataee, A. Yazdani, S. Setarehdan, H. A. Noubari","doi":"10.1109/ISPA.2007.4383673","DOIUrl":"https://doi.org/10.1109/ISPA.2007.4383673","url":null,"abstract":"In the EEG based seizure prediction system, feature extraction and feature selection procedures which distinguish various states of the EEG signal are the main parts of the mentioned system. In the meantime, selection of appropriate window length for well discrimination of pre-seizure and normal states of the EEG signal is extremely significant. In this paper, a genetic algorithm based method was proposed for improving some dominant feature extraction parameters such as feature vector and its related window length. In this study, an appropriate representation of problem and fitness function for enhancing the described problem is selected. Eventually, we indicate that by applying these improved parameters, more discriminated classes -pre-seizure and normal classes -are obtained.","PeriodicalId":112420,"journal":{"name":"2007 5th International Symposium on Image and Signal Processing and Analysis","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127558013","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
Defuzzification by Feature Distance Minimization Based on DC Programming 基于DC规划的特征距离最小化去模糊化
2007 5th International Symposium on Image and Signal Processing and Analysis Pub Date : 2007-11-19 DOI: 10.1109/ISPA.2007.4383722
Joakim Lindblad, T. Lukić, Natasa Sladoje
{"title":"Defuzzification by Feature Distance Minimization Based on DC Programming","authors":"Joakim Lindblad, T. Lukić, Natasa Sladoje","doi":"10.1109/ISPA.2007.4383722","DOIUrl":"https://doi.org/10.1109/ISPA.2007.4383722","url":null,"abstract":"We introduce the use of DC programming, in combination with convex-concave regularization, as a deterministic approach for solving the optimization problem imposed by defuzzification by feature distance minimization. We provide a DC based algorithm for finding a solution to the defuzzification problem by expressing the objective function as a difference of two convex functions and iteratively solving a family of DC programs. We compare the performance with the previously recommended method, simulated annealing, on a number of test images. Encouraging results, together with several advantages of the DC based method, approve use of this approach, and motivate its further exploration.","PeriodicalId":112420,"journal":{"name":"2007 5th International Symposium on Image and Signal Processing and Analysis","volume":"147 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129944846","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
Generalized Vector Median Filter 广义向量中值滤波器
2007 5th International Symposium on Image and Signal Processing and Analysis Pub Date : 2007-11-19 DOI: 10.1109/ISPA.2007.4383700
B. Smolka, M. Perczak
{"title":"Generalized Vector Median Filter","authors":"B. Smolka, M. Perczak","doi":"10.1109/ISPA.2007.4383700","DOIUrl":"https://doi.org/10.1109/ISPA.2007.4383700","url":null,"abstract":"In this contribution we analyze the properties of a novel class of noise attenuating and edge enhancing filters for color image processing. The new filtering design is a generalization of the well known Vector Median Filter. The new filter class is minimizing the cumulated dissimilarity measure of a cluster of pixels belonging to the sliding filtering window and outputs the pixel centrally located within the so called peer group of pixels. The described filter is computationally efficient, easy to implement and very effective in suppressing impulsive noise, while preserving image details and strongly enhancing its edges.","PeriodicalId":112420,"journal":{"name":"2007 5th International Symposium on Image and Signal Processing and Analysis","volume":"51 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120863976","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: 11
A practical review on Higher-Order Statistics interpretation. Application to Electrical Transients Characterization 高阶统计解释的实践回顾。电瞬变特性的应用
2007 5th International Symposium on Image and Signal Processing and Analysis Pub Date : 2007-11-19 DOI: 10.1109/ISPA.2007.4383694
A. Moreno, C. Puntonet
{"title":"A practical review on Higher-Order Statistics interpretation. Application to Electrical Transients Characterization","authors":"A. Moreno, C. Puntonet","doi":"10.1109/ISPA.2007.4383694","DOIUrl":"https://doi.org/10.1109/ISPA.2007.4383694","url":null,"abstract":"In this paper we perform a practical review on higher-order statistics interpretation. Concretely we focus on an unbiased estimate of the 4th-order time-domain cumulants. Some synthetics involving classical noise processes are characterized using this unbiased estimate, with the goal of checking its performance and to provide the scientific community with another result, dealing with the interpretation of this signal processing tool. A real practical example is presented in the field of electrical power quality event analysis. The work also aims to present a set of general advice in order to save memory and gain speed in a real signal processing frame, dealing with non-stationary processes.","PeriodicalId":112420,"journal":{"name":"2007 5th International Symposium on Image and Signal Processing and Analysis","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125321342","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: 20
Iterative Preconditioned Steepest Descent Reconstruction using Blob-Based Basis Functions 基于blob基函数的迭代预条件最陡下降重构
2007 5th International Symposium on Image and Signal Processing and Analysis Pub Date : 2007-11-19 DOI: 10.1109/ISPA.2007.4383749
E. Ho, A.E. Todd-Prokropek
{"title":"Iterative Preconditioned Steepest Descent Reconstruction using Blob-Based Basis Functions","authors":"E. Ho, A.E. Todd-Prokropek","doi":"10.1109/ISPA.2007.4383749","DOIUrl":"https://doi.org/10.1109/ISPA.2007.4383749","url":null,"abstract":"Using iterative algorithms, such as the steepest descent for image restoration or reconstruction can sometimes suffer from low convergence rate. By preconditioning the algorithms, one can increase the convergence rate. However, the iterative preconditioned algorithms can be further improved by replacing pixels with blobs as the basis functions for reconstruction. In this paper, using the blob-based basis functions in the iterative preconditioned steepest descent algorithm for single image reconstruction or super-resolution reconstruction, we obtain even better results with lower reconstruction errors. We also show that the blob-based iterative algorithm can stabilize the reconstruction error such that it stays at its minimum at higher number of iterations.","PeriodicalId":112420,"journal":{"name":"2007 5th International Symposium on Image and Signal Processing and Analysis","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129262683","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
Practical Design of Filter Banks for Automatic Music Transcription 音乐自动转录滤波器组的实用设计
2007 5th International Symposium on Image and Signal Processing and Analysis Pub Date : 2007-11-19 DOI: 10.1109/ISPA.2007.4383668
F. da C. B. Diniz, L. Biscainho, S. L. Netto
{"title":"Practical Design of Filter Banks for Automatic Music Transcription","authors":"F. da C. B. Diniz, L. Biscainho, S. L. Netto","doi":"10.1109/ISPA.2007.4383668","DOIUrl":"https://doi.org/10.1109/ISPA.2007.4383668","url":null,"abstract":"This paper aims at exploring practical issues concerning the design of a bounded-Q fast filter bank (BQFFB) for automatic music transcription (AMT). Great effort is spent on avoiding hazardous effects in the spectral analysis stage of the AMT application. The result is a complete procedure for effectively designing the BQFFB tool. The analysis tool is then validated through computer experiments.","PeriodicalId":112420,"journal":{"name":"2007 5th International Symposium on Image and Signal Processing and Analysis","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121565741","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
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