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2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)最新文献

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Distributed distortionless signal estimation in wireless acoustic sensor networks 无线声传感器网络中的分布式无失真信号估计
2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO) Pub Date : 2012-10-18 DOI: 10.5281/ZENODO.52407
A. Bertrand, J. Szurley, M. Moonen
{"title":"Distributed distortionless signal estimation in wireless acoustic sensor networks","authors":"A. Bertrand, J. Szurley, M. Moonen","doi":"10.5281/ZENODO.52407","DOIUrl":"https://doi.org/10.5281/ZENODO.52407","url":null,"abstract":"Wireless microphone networks or so-called wireless acoustic sensor networks (WASNs) consist of physically distributed microphone nodes that exchange data over wireless links. In this paper, we propose a novel distributed distortionless signal estimation algorithm for noise reduction in WASNs. The most important feature of the proposed algorithm is that the nodes broadcast only single-channel signals while still obtaining optimal estimation performance, even in a scenario with multiple desired sources or speakers (in existing distributed methods, this is achieved only in scenarios with a single desired source). The idea is to create a one-dimensional desired signal subspace by using the same reference microphone at all the nodes. Since the theory is based on a distortionless signal estimation technique, namely linearly constrained minimum variance (LCMV) beamforming, we will show that this reference microphone does not need to be transmitted over the wireless link. We provide simulations to demonstrate the performance of the algorithm.","PeriodicalId":201182,"journal":{"name":"2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114614537","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
AAM fitting using shape parameter distribution 形状参数分布的AAM拟合
2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO) Pub Date : 2012-10-18 DOI: 10.5281/ZENODO.42976
Youhei Shiraishi, S. Fujie, Tetsunori Kobayashi
{"title":"AAM fitting using shape parameter distribution","authors":"Youhei Shiraishi, S. Fujie, Tetsunori Kobayashi","doi":"10.5281/ZENODO.42976","DOIUrl":"https://doi.org/10.5281/ZENODO.42976","url":null,"abstract":"A novel constraint using shape parameter distribution into the AAM fitting method is proposed. Active appearance models (AAMs) are some of the most popular facial models. AAM-based face tracking delivers accurate alignment results. However, non-face-like shapes can also be estimated by AAMs, unlike by the conventional AAM fitting method, which only minimizes the matching error of the image. This is one of the causes for face tracking performance degradation in AAMs. A constraint using the shape parameter distribution is added in order to solve this problem.","PeriodicalId":201182,"journal":{"name":"2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)","volume":"210 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116489169","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
Generalized adaptive comb filter with improved accuracy and robustness properties 具有提高精度和鲁棒性的广义自适应梳状滤波器
2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO) Pub Date : 2012-10-18 DOI: 10.5281/ZENODO.42905
M. Niedźwiecki, M. Meller
{"title":"Generalized adaptive comb filter with improved accuracy and robustness properties","authors":"M. Niedźwiecki, M. Meller","doi":"10.5281/ZENODO.42905","DOIUrl":"https://doi.org/10.5281/ZENODO.42905","url":null,"abstract":"Generalized adaptive comb filters can be used to identify/track parameters of quasi-periodically varying systems. In a special, signal case they reduce down to adaptive comb filters, applied to elimination or extraction of nonstationary multi-harmonic signals buried in noise. We propose a new algorithm which combines, in an adaptive way, results yielded by several, simultaneously working generalized adaptive comb filters. Due to its highly parallel estimation structure, the new algorithm is more accurate and more robust than the currently available algorithms.","PeriodicalId":201182,"journal":{"name":"2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121931566","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
Blind compensation of nonlinear distortions via sparsity recovery 基于稀疏度恢复的非线性失真盲补偿
2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO) Pub Date : 2012-10-18 DOI: 10.5281/ZENODO.43141
L. Duarte, R. Suyama, R. Attux, J. Romano, C. Jutten
{"title":"Blind compensation of nonlinear distortions via sparsity recovery","authors":"L. Duarte, R. Suyama, R. Attux, J. Romano, C. Jutten","doi":"10.5281/ZENODO.43141","DOIUrl":"https://doi.org/10.5281/ZENODO.43141","url":null,"abstract":"In this work, we address the problem of compensating a nonlinear memoryless system in a blind fashion, i.e., without considering a set of training points. Our proposal works with the assumption that the input signal admits a sparse representation in a transformed domain that should be known in advance. By assuming that the nonlinear distortion function makes the observed signal less sparse (this is observed in frequency transforms), the proposed method aims at estimating the original signal via a sparsity recovery procedure. Our approach is based on an approximation of the ℓ0-norm and on the use of polynomial functions as compensating structures. In order to assess the viability of the developed method, we perform a representative set of experiments on synthetic data.","PeriodicalId":201182,"journal":{"name":"2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123955713","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
Adaptive Slepian-Wolf decoding using Laplace propagation 基于拉普拉斯传播的自适应睡眠狼解码
2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO) Pub Date : 2012-10-18 DOI: 10.5281/ZENODO.52298
Lijuan Cui, Shuang Wang, Samuel Cheng, L. Stanković, V. Stanković
{"title":"Adaptive Slepian-Wolf decoding using Laplace propagation","authors":"Lijuan Cui, Shuang Wang, Samuel Cheng, L. Stanković, V. Stanković","doi":"10.5281/ZENODO.52298","DOIUrl":"https://doi.org/10.5281/ZENODO.52298","url":null,"abstract":"Accurately estimating correlation between sources has significant impact on the performance of Slepian-Wolf (SW) coding. In this paper, we propose a low complexity estimator based on Laplace propagation for exploiting the source correlation at the decoder side, by modeling the correlation estimation as a Bayesian inference problem. Through simulations, we show that the proposed algorithm can simultaneously reconstruct a compressed source and estimate both stationary and time-varying joint correlation between the sources at the bit level. Furthermore, comparing to the conventional SW decoder, the proposed approach can achieve a better decoding performance under varying correlation statistics and the proposed estimator shows a very fast convergence speed and low complexity compared with state-of-the-art sampling approaches.","PeriodicalId":201182,"journal":{"name":"2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129838696","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
Fusion of eye-tracking data from multiple observers for increased 3D gaze tracking precision 融合来自多个观察者的眼球追踪数据，提高3D注视追踪精度
2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO) Pub Date : 2012-10-18 DOI: 10.5281/ZENODO.43134
Marianne Hanhela, A. Boev, A. Gotchev, Miska M. Hannuteela
{"title":"Fusion of eye-tracking data from multiple observers for increased 3D gaze tracking precision","authors":"Marianne Hanhela, A. Boev, A. Gotchev, Miska M. Hannuteela","doi":"10.5281/ZENODO.43134","DOIUrl":"https://doi.org/10.5281/ZENODO.43134","url":null,"abstract":"In this paper we discuss an approach to extract 3D gaze data information from binocular eye-tracking data. Factors such as tracking noise, tracking precision and observation distance limit the resolution of gaze tracking in three dimensions. We have developed a methodology, which uses a model of the stereoscopic human visual system (HVS) to analyze per-eye gaze data and to convert it into a something we call stereoscopic volume-of-interest (SVOI). We have found that using data from multiple observers increases the tracking precision. We aim to find the link between number of observers and tracking precision. This would allow one to optimize the number of participants involved in 3D gaze-tracking experiment, in order to achieve certain level of 3D gaze tracking precision.","PeriodicalId":201182,"journal":{"name":"2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130784578","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
A real time system for dynamic hand gesture recognition with a depth sensor 基于深度传感器的动态手势识别实时系统
2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO) Pub Date : 2012-10-18 DOI: 10.5281/ZENODO.42817
A. Kurakin, Z. Zhang, Z. Liu
{"title":"A real time system for dynamic hand gesture recognition with a depth sensor","authors":"A. Kurakin, Z. Zhang, Z. Liu","doi":"10.5281/ZENODO.42817","DOIUrl":"https://doi.org/10.5281/ZENODO.42817","url":null,"abstract":"Recent advances in depth sensing provide exciting opportunities for the development of new methods for human activity understanding. Yet, little work has been done in the area of hand gesture recognition which has many practical applications. In this paper we propose a real-time system for dynamic hand gesture recognition. It is fully automatic and robust to variations in speed and style as well as in hand orientations. Our approach is based on action graph, which shares similar robust properties with standard HMM but requires less training data by allowing states shared among different gestures. To deal with hand orientations, we have developed a new technique for hand segmentation and orientation normalization. The proposed system is evaluated on a challenging dataset of twelve dynamic American Sign Language (ASL) gestures.","PeriodicalId":201182,"journal":{"name":"2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130970047","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: 286
Exploiting structure of spatio-temporal correlation for detection in Wireless Sensor Networks 利用时空相关结构进行无线传感器网络检测
2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO) Pub Date : 2012-10-18 DOI: 10.5281/ZENODO.52471
Sadiq Ali, J. López-Salcedo, G. Seco-Granados
{"title":"Exploiting structure of spatio-temporal correlation for detection in Wireless Sensor Networks","authors":"Sadiq Ali, J. López-Salcedo, G. Seco-Granados","doi":"10.5281/ZENODO.52471","DOIUrl":"https://doi.org/10.5281/ZENODO.52471","url":null,"abstract":"In dense Wireless Sensor Networks (WSN) consecutive measurements obtained by sensors are spatio-temporally correlated in applications that involve the observation of the variation of a physical phenomenon. To exploit this spatiotemporal structure for event detection, the the traditional GLRT test degenerates in the case where dimensionality of data is equal to the sample size or larger. It is because the spatio-temporal sample covariance matrix becomes ill-conditioned or near singular. To circumvent this problem, we modify the traditional GLRT detector by splitting the large spatio-temporal covariance matrix into spatial and temporal covariance matrices. In addition, several detectors are proposed that are robust in the case of high dimensionality and small sample size. Numerical results are drawn, which show that the proposed detection schemes indeed out perform the traditional approaches when the dimension of data is larger than the sample size.","PeriodicalId":201182,"journal":{"name":"2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123009145","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
A novel shock filter for image restoration and enhancement 一种用于图像恢复和增强的新型冲击滤波器
2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO) Pub Date : 2012-10-18 DOI: 10.5281/ZENODO.52221
R. Terebeș, M. Borda, C. Germain, O. Lavialle
{"title":"A novel shock filter for image restoration and enhancement","authors":"R. Terebeș, M. Borda, C. Germain, O. Lavialle","doi":"10.5281/ZENODO.52221","DOIUrl":"https://doi.org/10.5281/ZENODO.52221","url":null,"abstract":"The paper proposes a novel shock filter for image restoration and enhancement tasks. The method is put in terms of a system of partial differential equations that describes both the evolution of the processed image and of its smoothed second order derivative. The method employs selective smoothing terms acting on robust diffusion directions and its efficiency is proven in the experimental part of the paper on both real and synthetic images.","PeriodicalId":201182,"journal":{"name":"2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126608546","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
Amelioration of physical activity estimation from accelerometer sensors using prior knowledge 利用先验知识改进加速度计传感器的身体活动估计
2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO) Pub Date : 2012-10-18 DOI: 10.5281/ZENODO.43151
A. Ataya, P. Jallon
{"title":"Amelioration of physical activity estimation from accelerometer sensors using prior knowledge","authors":"A. Ataya, P. Jallon","doi":"10.5281/ZENODO.43151","DOIUrl":"https://doi.org/10.5281/ZENODO.43151","url":null,"abstract":"Human physical activity assessment using inertial sensor's data has become a prominent research area in the biomedical engineering field and an important application area for pattern recognition. This paper proposes to improve physical activity detection by combining prior knowledge concerning activity sequences with predictions of a support vector machine classifier (SVM). The temporal stable nature of activities is modeled by a directed graph Markov chain to reinforce decisions obtained using activity classes' confidence measures of a traditional SVM. We therefore review existing approaches dealing with determining these confidence measures for SVM classification. We then propose new methods for confidence measures estimation for SVM bi-class and multi-class problems. While applying the graph with proposed techniques for confidence estimation, results show superlative recognition rate of 92% for classifying 6 activities from data collected by a tri-axial accelerometer worn on belt.","PeriodicalId":201182,"journal":{"name":"2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114217970","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
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