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2011 19th European Signal Processing Conference最新文献

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Estimation of facial action intensities on 2D and 3D data 基于二维和三维数据的面部动作强度估计
2011 19th European Signal Processing Conference Pub Date : 2011-08-29 DOI: 10.5281/ZENODO.42309
A. Savran, B. Sankur, M. Bilge
{"title":"Estimation of facial action intensities on 2D and 3D data","authors":"A. Savran, B. Sankur, M. Bilge","doi":"10.5281/ZENODO.42309","DOIUrl":"https://doi.org/10.5281/ZENODO.42309","url":null,"abstract":"The paradigm of Facial Action Coding System (FACS) offers a comprehensive solution for facial expression measurements. FACS defines atomic expression components called Action Units (AUs) and describes their strength on a five-point scale. Despite considerable progress in AU detection, the AU intensity estimation has not been much investigated. We propose SVM-based regression on AU feature space, and investigate person-independent estimation of 25 AUs that appear singly or in various combinations. Our method is novel in that we use regression for estimating intensities and comparatively evaluate the performances of 2D and 3D modalities. The proposed technique shows improvements over the state-of-the-art person-independent estimation, and that especially the 3D modality offers significant advantages for intensity coding. We have also found that fusion of 2D and 3D can boost the estimation performance, especially when modalities compensate for each other's shortcomings.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131914828","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
CRB for active radar 主动雷达的CRB
2011 19th European Signal Processing Conference Pub Date : 2011-08-29 DOI: 10.5281/ZENODO.42344
Tarek Menni, É. Chaumette, P. Larzabal, J. Barbot
{"title":"CRB for active radar","authors":"Tarek Menni, É. Chaumette, P. Larzabal, J. Barbot","doi":"10.5281/ZENODO.42344","DOIUrl":"https://doi.org/10.5281/ZENODO.42344","url":null,"abstract":"Provided that one keeps in mind the CRB limitations, that is, to become an overly optimistic lower bound when the observation conditions degrades, the CRB is a lower bound of great interest for radar system analysis and design in the asymptotic region. Even though there are many available CRB formulas for target parameters in the open literature, each CRB formula has been derived under particular radar modelling. Therefore, what is missing is a neat CRB formula valid independently of the radar modelling and its underlying approximations. The aim of this paper is to provide a general CRB closed-form valid for all possible diversities (temporal, spatial, code) in case of Gaussian circular deterministic observations, which describe accurately an active radar system.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116611182","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
Sparse algorithms and bounds for statistically and computationally efficient robust estimation 用于统计和计算效率高的鲁棒估计的稀疏算法和界
2011 19th European Signal Processing Conference Pub Date : 2011-08-29 DOI: 10.5281/ZENODO.42410
Stefan Dipl.-Ing. Schuster
{"title":"Sparse algorithms and bounds for statistically and computationally efficient robust estimation","authors":"Stefan Dipl.-Ing. Schuster","doi":"10.5281/ZENODO.42410","DOIUrl":"https://doi.org/10.5281/ZENODO.42410","url":null,"abstract":"Robust estimators that provide accurate parameter estimates even under the condition that classical assumptions like outlier-free additive Gaussian measurement noise do not hold exactly are of great practical importance in signal processing and measurement science in general. Lots of methods for deriving robust estimators exist. In this paper, we derive novel algorithms for robust estimation by modeling the outliers as a sparse additive vector of unknown deterministic or random parameters. By exploiting the separability of the estimation problem and applying recently developed sparse estimation techniques, algorithms that remove the effect of the outlying observations can be developed. Monte Carlo simulations show that the performance of the developed algorithms is practically equal to the best possible performance given by the Crámer-Rao lower bound (CRB) and the mean-squared error (MSE) of the oracle estimator [1], demonstrating the high accuracy. It is shown that the algorithms can be implemented in a computationally efficient manner. Furthermore, some interesting connections to the popular least absolute deviation (LAD) estimator are shown.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115025861","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
Non-Gaussian background modeling for anomaly detection in hyperspectral images 高光谱图像异常检测的非高斯背景建模
2011 19th European Signal Processing Conference Pub Date : 2011-08-29 DOI: 10.5281/ZENODO.42499
E. Madar, D. Malah, M. Barzohar
{"title":"Non-Gaussian background modeling for anomaly detection in hyperspectral images","authors":"E. Madar, D. Malah, M. Barzohar","doi":"10.5281/ZENODO.42499","DOIUrl":"https://doi.org/10.5281/ZENODO.42499","url":null,"abstract":"In this paper, we address the problem of unsupervised detection of anomalies in hyperspectral images. Our proposed method is based on a novel statistical background modeling approach that combines local and global approaches and does not assume Gaussianity. The local-global background model has the ability to adapt to all nuances of the background process, like local models, but avoids overfitting that may result due a too high number of degrees of freedom, producing a high false alarm rate. This is achieved by globally combining the local background models into a “dictionary”, which serves to remove false alarms. Experimental results strongly prove the effectiveness of the proposed algorithm. These results show that the proposed local-global algorithm performs better than several other local or global anomaly detection techniques, such as the well known RX or its Gaussian Mixture version (GMM-RX).","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129971701","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: 8
On the implementation of a secure musical database matching 实现了一个安全的音乐数据库匹配
2011 19th European Signal Processing Conference Pub Date : 2011-08-29 DOI: 10.5281/ZENODO.42671
José Portêlo, B. Raj, A. Abad, I. Trancoso
{"title":"On the implementation of a secure musical database matching","authors":"José Portêlo, B. Raj, A. Abad, I. Trancoso","doi":"10.5281/ZENODO.42671","DOIUrl":"https://doi.org/10.5281/ZENODO.42671","url":null,"abstract":"This paper presents an implementation of a privacy-preserving music database matching algorithm, showing how privacy is achieved at the cost of computational complexity and execution time. The paper presents not only implementation details but also an analysis of the obtained results in terms of communication between the two parties, computational complexity, execution time and correctness of the matching algorithm. Although the paper focus on a music matching application, the principles can be easily adapted to perform other tasks, such as speaker verification and keyword spotting.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133990836","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
Sparse representation of dense motion vector fields for lossless compression of 4-D medical CT data 高密度运动向量场的稀疏表示用于四维医学CT数据的无损压缩
2011 19th European Signal Processing Conference Pub Date : 2011-08-29 DOI: 10.5281/ZENODO.42439
Andreas Weinlich, P. Amon, A. Hutter, André Kaup
{"title":"Sparse representation of dense motion vector fields for lossless compression of 4-D medical CT data","authors":"Andreas Weinlich, P. Amon, A. Hutter, André Kaup","doi":"10.5281/ZENODO.42439","DOIUrl":"https://doi.org/10.5281/ZENODO.42439","url":null,"abstract":"We present a new method for data-adaptive compression of dense vector fields in dynamic medical volume data. Conventional block-based motion compensation used for temporal prediction in video compression cannot conveniently cope with deformable motion typically found in medical image sequences encoded over time. Based on an approximation of physiologic tissue motion between two succeeding slices in time direction computed by optical flow methods, we find the most significant motion vectors with respect to their prediction capability for a second 2-D slice out of the first one. By coding the components of these vectors, we are able to reconstruct a high quality dense motion vector field at the decoder using only minimal side-information. We show that our approach can achieve a smoother prediction than block-based motion compensation for such data, reducing storage demands in spatially predictive lossless compression. We also show that such a predictive approach can yield better compression ratios than JPEG 2000 intra coding.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132070658","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
On waveform design in interference-tolerant range-Doppler estimation for wideband multistatic radars 宽频带多基地雷达抗干扰距离-多普勒估计的波形设计
2011 19th European Signal Processing Conference Pub Date : 2011-08-29 DOI: 10.5281/ZENODO.42357
A. Napolitano, K. Doğançay
{"title":"On waveform design in interference-tolerant range-Doppler estimation for wideband multistatic radars","authors":"A. Napolitano, K. Doğançay","doi":"10.5281/ZENODO.42357","DOIUrl":"https://doi.org/10.5281/ZENODO.42357","url":null,"abstract":"The problem of waveform selection for range-Doppler estimation in wide-band multistatic radars is addressed. The transmitted signal is assumed to be cyclostationary, and cyclostationarity properties are exploited for range-Doppler estimation in severe noise and interference environments. Simulation studies are carried out to investigate waveform parameter selection for better estimation performance.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134427228","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
Constrained time-variant signal modeling for identifying colliding harmonics in sound mixtures 声音混合中碰撞谐波识别的约束时变信号建模
2011 19th European Signal Processing Conference Pub Date : 2011-08-29 DOI: 10.5281/ZENODO.42317
M. Zivanovic, J. Schoukens
{"title":"Constrained time-variant signal modeling for identifying colliding harmonics in sound mixtures","authors":"M. Zivanovic, J. Schoukens","doi":"10.5281/ZENODO.42317","DOIUrl":"https://doi.org/10.5281/ZENODO.42317","url":null,"abstract":"We present a general approach to identifying time-variant colliding harmonics in pitched steady-state monophonic sound mixtures. Each sound is described by a linear-in-parameter quasi-harmonic model which captures properly instantaneous time variations of the non-stochastic sound energy. The model parameters corresponding to colliding harmonics are estimated on the basis of multiple-solution cost function L2 minimization with regularization. The major advantage against the state-of-the art methods is that no additional information about the underlying sounds in the mixture is needed. A comparative study shows that the proposed method performs significantly better than an existing algorithm for separation of monaural pitched sounds from a mixture.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133786018","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
System interpretation of causality measures in frequency domain used in eeg analysis 脑电图分析中频域因果测度的系统解释
2011 19th European Signal Processing Conference Pub Date : 2011-08-29 DOI: 10.5281/ZENODO.42703
Tomáš Bořil, P. Sovka
{"title":"System interpretation of causality measures in frequency domain used in eeg analysis","authors":"Tomáš Bořil, P. Sovka","doi":"10.5281/ZENODO.42703","DOIUrl":"https://doi.org/10.5281/ZENODO.42703","url":null,"abstract":"This paper suggests new measures for the evaluation of an absolute, ratio and relative causal relation in frequency domain in the context of multivariate autoregressive models.The idea is explained on four synoptic artificial data experiments. In each example, a model without causal connection is presented and then, a causal connection is added. The influence of this modification is analysed and interpreted in the scope of LTI digital filters. Using the proposed measures, a comparison of results of state-of-the-art frequency domain methods Generalized Partial Directed Coherence (GPDC) and Direct Directed Transfer Function (dDTF) is performed to evaluate their behavior. The concept is demonstrated on real EEG data of awake resting state of human brain.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133449153","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 geometrically constrained multimodal time domain approach for convolutive blind source separation 一种几何约束的多模态时域卷积盲源分离方法
2011 19th European Signal Processing Conference Pub Date : 2011-08-29 DOI: 10.5281/ZENODO.42610
B. Makkiabadi, D. Jarchi, V. Abolghasemi, S. Sanei
{"title":"A geometrically constrained multimodal time domain approach for convolutive blind source separation","authors":"B. Makkiabadi, D. Jarchi, V. Abolghasemi, S. Sanei","doi":"10.5281/ZENODO.42610","DOIUrl":"https://doi.org/10.5281/ZENODO.42610","url":null,"abstract":"A novel time domain constrained multimodal approach for convolutive blind source separation is presented which incorporates geometrical 3-D coordinates of both the speakers and the microphones. The semi-blind separation is performed in time domain and the constraints are incorporated through an alternative least squares optimization. Orthogonal source model and gradient based optimization concepts have been used to construct and estimate the model parameters which fits the convolutive mixture signals. Moreover, the majorization concept has been used to incorporate the geometrical information for estimating the mixing channels for different time lags. The separation results show a considerable improvement over time domain convolutive blind source separation systems. Having diagonal or quasi diagonal covariance matrices for different source segments and also having independent profiles for different sources (which implies nonstationarity of the sources) are the requirements for our method. We evaluated the method using synthetically mixed real signals. The results show high capability of the method for separating speech signals.","PeriodicalId":331889,"journal":{"name":"2011 19th European Signal Processing Conference","volume":"519 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116252885","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
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