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Beyond the eye of the beholder: On a forensic descriptor of the eye region 眼魔的眼睛之外:在眼睛区域的法医描述符上
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362488
C. Zeinstra, R. Veldhuis, L. Spreeuwers
{"title":"Beyond the eye of the beholder: On a forensic descriptor of the eye region","authors":"C. Zeinstra, R. Veldhuis, L. Spreeuwers","doi":"10.1109/EUSIPCO.2015.7362488","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362488","url":null,"abstract":"The task of forensic facial experts is to assess the likelihood whether a suspect is depicted on crime scene images. They typically (a) use morphological analysis when comparing parts of the facial region, and (b) combine this partial evidence into a final judgment. Facial parts can be considered as soft biometric modalities and in recent years have been studied in the biometric community. In this paper we focus on the region around the eye from a forensic perspective by applying the FISWG feature list of the eye modality. We compare existing work from the soft biometric perspective based on a texture descriptor with our approach.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116251655","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
Wideband high dynamic range surveillance 宽带高动态范围监视
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362411
R. D. S. Fagundes, D. L. Jeune, A. Mansour, F. Roy, R. Lababidi
{"title":"Wideband high dynamic range surveillance","authors":"R. D. S. Fagundes, D. L. Jeune, A. Mansour, F. Roy, R. Lababidi","doi":"10.1109/EUSIPCO.2015.7362411","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362411","url":null,"abstract":"In recent radio-communication applications, receivers may be jammed by high power unwanted signals. In this case, the received signal can be considered as the sum of a strong unwanted signal and a very weak target signal. Even though the two signals don't overlap in the frequency domain, the processing of the weak signal becomes very hard as it can be vanished at the output of the Analog Digital Converter. To avoid this scenario, many nonlinear circuits are proposed in the literature. Our study focuses on the separation of a weak and a very strong signals which are wideband signals and they are very close in the frequency domain. Several circuits have been implemented and simulated. The proposed circuit diagram is also presented. Finally, simulations are presented and discussed.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123186963","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
Sensitivity analysis of the sequential test for detecting cyber-physical attacks 检测网络物理攻击的顺序测试灵敏度分析
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362787
Van Long Do, L. Fillatre, I. Nikiforov
{"title":"Sensitivity analysis of the sequential test for detecting cyber-physical attacks","authors":"Van Long Do, L. Fillatre, I. Nikiforov","doi":"10.1109/EUSIPCO.2015.7362787","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362787","url":null,"abstract":"This paper deals with the problem of detecting cyber-physical attacks on Supervisory Control And Data Acquisition (SCADA) systems. The discrete-time state space model is used to describe the systems. The attacks are modeled as additive signals of short duration on both state evolution and sensor measurement equations. The steady-state Kalman filter is employed to generate the sequence of innovations. Next, these independent random variables are used as entries of the Variable Threshold Window Limited CUmulative SUM (VTWL CUSUM) test. It has been shown that the optimal choice of thresholds with respect to (w.r.t.) the transient change detection criterion leads to the Finite Moving Average (FMA) test. The main contribution of this paper is a sensitivity analysis of the FMA test. This analysis is based on a numerical calculation of the probabilities of wrong decision under the variation of operational parameters. Theoretical results are applied to the detection of an attack scenario on a SCADA water network.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125036746","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
Approximate Bayesian filtering using stabilized forgetting 使用稳定遗忘的近似贝叶斯滤波
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362877
S. Azizi, A. Quinn
{"title":"Approximate Bayesian filtering using stabilized forgetting","authors":"S. Azizi, A. Quinn","doi":"10.1109/EUSIPCO.2015.7362877","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362877","url":null,"abstract":"In this paper, we relax the modeling assumptions under which Bayesian filtering is tractable. In order to restore tractability, we adopt the stabilizing forgetting (SF) operator, which replaces the explicit time evolution model of Bayesian filtering. The principal contribution of the paper is to define a rich class of conditional observation models for which recursive, invariant, finite-dimensional statistics result from SF-based Bayesian filtering. We specialize the result to the mixture Kalman filter, verifying that the exact solution is available in this case. This allows us to consider the quality of the SF-based approximate solution. Finally, we assess SF-based tracking of the time-varying rate parameter (state) in data modelled as a mixture of exponential components.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"577 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123128395","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
Aliasing reduction in soft-clipping algorithms 软裁剪算法中的混叠减少
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362737
Fabian Esqueda, V. Välimäki, S. Bilbao
{"title":"Aliasing reduction in soft-clipping algorithms","authors":"Fabian Esqueda, V. Välimäki, S. Bilbao","doi":"10.1109/EUSIPCO.2015.7362737","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362737","url":null,"abstract":"Soft-clipping algorithms used to implement musical distortion effects are major sources of aliasing due to their nonlinear behavior. It is a research challenge to design computationally efficient methods for alias-free distortion without over-sampling. In the proposed approach, soft clipping is decomposed into a hard clipper and a low-order polynomial part. A technique for aliasing reduction of the hard-clipped signal is presented based on a polynomial approximation of the ban-dlimited ramp function. This correction function operates by quasi-bandlimiting the discontinuities introduced in the first derivative of the signal. The proposed method effectively reduces perceivable aliasing in soft-clipped audio signals having low frequency content. This work presents the first step towards alias-free implementations of nonlinear virtual analog effects.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121739080","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: 12
Angular information resolution from co-prime arrays in radar 雷达共素数阵列的角信息分辨率
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362903
R. Pribic
{"title":"Angular information resolution from co-prime arrays in radar","authors":"R. Pribic","doi":"10.1109/EUSIPCO.2015.7362903","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362903","url":null,"abstract":"Angular resolution can be improved by using co-prime arrays instead of uniform linear arrays (ULA) with the same number of elements. We investigate how the possible co-prime angle resolution is related to the angle resolution from a full ULA of the size equal to the virtual size of co-prime arrays. We take into account not only the resulting beam width but also the fact that fewer measurements are acquired by co-prime arrays. This fact is especially relevant in compressive acquisition typical for compressive sensing. This angular resolution is called angular information resolution as it is computed from the intrinsic geometrical structure of data models that is characterized by the Fisher information. Based on this information-geometry approach, we compare angular information resolution from co-prime arrays and from the two ULAs. This novel resolution analysis is applied in a one-dimensional azimuth case. Numerical results demonstrate the suitability in radar-resolution analysis.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121988449","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
Query by example search with segmented dynamic time warping for non-exact spoken queries 针对非精确语音查询，使用分段动态时间扭曲的示例搜索查询
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362666
Jorge Proença, A. Veiga, F. Perdigão
{"title":"Query by example search with segmented dynamic time warping for non-exact spoken queries","authors":"Jorge Proença, A. Veiga, F. Perdigão","doi":"10.1109/EUSIPCO.2015.7362666","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362666","url":null,"abstract":"This paper presents an approach to the Query-by-Example task of finding spoken queries on speech databases when the intended match may be non-exact or slightly complex. The built system is low-resource as it tries to solve the problem where the language of queries and searched audio is unspecified. Our method is based on a modified Dynamic Time Warping (DTW) algorithm using posterior-grams and extracting intricate paths to account for special cases of query match such as word re-ordering, lexical variations and filler content. This system was evaluated on the MediaEval 2014 task of Query by Example Search on Speech (QUESST) where the spoken data is from different languages, unknown to the participant. We combined the results of five DTW modifications computed on the output of three phoneme recognizers of different languages. The combination of all systems provided the best performance overall and improved detection of complex case queries.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"499 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123892504","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: 19
Parralelization of non-linear & non-Gaussian Bayesian state estimators (Particle filters) 非线性&非高斯贝叶斯状态估计器的并行化(粒子滤波)
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362836
Amin Jarrah, M. Jamali, Seyyed Soheil Sadat Hosseini, J. Astola, M. Gabbouj
{"title":"Parralelization of non-linear & non-Gaussian Bayesian state estimators (Particle filters)","authors":"Amin Jarrah, M. Jamali, Seyyed Soheil Sadat Hosseini, J. Astola, M. Gabbouj","doi":"10.1109/EUSIPCO.2015.7362836","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362836","url":null,"abstract":"Particle filter has been proven to be a very effective method for identifying targets in non-linear and non-Gaussian environment. However, particle filter is computationally intensive and may not achieve the real time requirements. So, it's desirable to implement it on parallel platforms by exploiting parallel and pipelining architecture to achieve its real time requirements. In this work, an efficient implementation of particle filter in both FPGA and GPU is proposed. Particle filter has also been implemented using MATLAB Parallel Computing Toolbox (PCT). Experimental results show that FPGA and GPU architectures can significantly outperform an equivalent sequential implementation. The results also show that FPGA implementation provides better performance than the GPU implementation. The achieved execution time on dual core and quad core Dell PC using PCT were higher than FPGAs and GPUs as was expected.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124236991","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
Audio phrases for audio event recognition 用于音频事件识别的音频短语
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362844
Huy Phan, L. Hertel, M. Maass, Radoslaw Mazur, A. Mertins
{"title":"Audio phrases for audio event recognition","authors":"Huy Phan, L. Hertel, M. Maass, Radoslaw Mazur, A. Mertins","doi":"10.1109/EUSIPCO.2015.7362844","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362844","url":null,"abstract":"The bag-of-audio-words approach has been widely used for audio event recognition. In these models, a local feature of an audio signal is matched to a code word according to a learned codebook. The signal is then represented by frequencies of the matched code words on the whole signal. We present in this paper an improved model based on the idea of audio phrases which are sequences of multiple audio words. By using audio phrases, we are able to capture the relationship between the isolated audio words and produce more semantic descriptors. Furthermore, we also propose an efficient approach to learn a compact codebook in a discriminative manner to deal with high-dimensionality of bag-of-audio-phrases representations. Experiments on the Freiburg-106 dataset show that the recognition performance with our proposed bag-of-audio-phrases descriptor outperforms not only the baselines but also the state-of-the-art results on the dataset.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124277768","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
A Robust student's-t distribution PHD filter with OCSVM updating for multiple human tracking 基于OCSVM更新的鲁棒student's-t分布PHD滤波器
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/eusipco.2015.7362814
P. Feng, Miao Yu, S. M. Naqvi, Wenwu Wang, J. Chambers
{"title":"A Robust student's-t distribution PHD filter with OCSVM updating for multiple human tracking","authors":"P. Feng, Miao Yu, S. M. Naqvi, Wenwu Wang, J. Chambers","doi":"10.1109/eusipco.2015.7362814","DOIUrl":"https://doi.org/10.1109/eusipco.2015.7362814","url":null,"abstract":"We propose a novel robust probability hypothesis density (PHD) filter for multiple target tracking in an enclosed environment, where a one-class support vector machine (OCSVM) is used in the update step for combining different human features to mitigate the effect of measurement noise on the calculation of particle weights. A Student's-t distribution is employed to improve the robustness of the filters whose tail is heavier than the Gaussian distribution and thus has the potential to cover more widely-spread particles. The OCSVM is trained based on both colour and oriented gradient (HOG) histogram features and then used to mitigate the measurement noise from the particle selection step, thereby improve the tracking performance. To evaluate the proposed PHD filter, we employed two sequences from the CAVIAR dataset and used the optimal subpattern assignment (OSPA) method as an objective measure. The results show that the proposed robust PHD filter outperforms the traditional PHD filter.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125109338","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
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