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2012 IEEE 11th International Conference on Signal Processing最新文献

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A real-time SAR imaging system based on CPUGPU heterogeneous platform 基于CPUGPU异构平台的实时SAR成像系统
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-01 DOI: 10.1109/ICOSP.2012.6491524
Yewei Wu, Jun Chen, Hongqun Zhang
{"title":"A real-time SAR imaging system based on CPUGPU heterogeneous platform","authors":"Yewei Wu, Jun Chen, Hongqun Zhang","doi":"10.1109/ICOSP.2012.6491524","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6491524","url":null,"abstract":"With the features of exceptional computing power, low-cost, low power consumption characteristics, the CPU-GPU heterogeneous platform provides an alternative choice for high performance parallel computing. This paper introduces an efficient SAR imaging system design and implementation, which is based on such heterogeneous platform. Tested with Envisat ASAR raw data, the system meets the demands of real-time SAR processing. Furthermore, GPU-based imaging results in a 13 times speed up than multithreaded CPU implementation.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128388631","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
Multi-view gait recognition based on tensor analysis 基于张量分析的多视角步态识别
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-01 DOI: 10.1109/ICOSP.2012.6491796
Caijuan Shi, Q. Ruan, Song Guo
{"title":"Multi-view gait recognition based on tensor analysis","authors":"Caijuan Shi, Q. Ruan, Song Guo","doi":"10.1109/ICOSP.2012.6491796","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6491796","url":null,"abstract":"In this paper, we have proposed a tensor analysis method for multi-view gait recognition. Gait Energy Image (GEI) is used for gait feature and then 4-order tensor is composed. Using a generalized singular value decomposition method-HOSVD, this tensor is decomposed to person subspace, series subspace, view subspace and feature subspace. In person subspace we finish the multi-view gait recognition. Lastly, we perform recognition by using a simple nearest neighbor rule. Experimental results on the widely used CASIA-B gait database demonstrate the effectiveness of the proposed method.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127428101","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
A PCA-FVQ and 3D-SPECK combined hierarchical coding method for spectral imagery 一种PCA-FVQ和3D-SPECK结合的光谱图像分层编码方法
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-01 DOI: 10.1109/ICOSP.2012.6491756
Yunfeng Yue, L. Zhuo, Suyu Wang, Yingdi Zhao, C. Shi
{"title":"A PCA-FVQ and 3D-SPECK combined hierarchical coding method for spectral imagery","authors":"Yunfeng Yue, L. Zhuo, Suyu Wang, Yingdi Zhao, C. Shi","doi":"10.1109/ICOSP.2012.6491756","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6491756","url":null,"abstract":"In this paper, a hierarchical spectral imagery coding method has been proposed. The spectral imagery is encoded into two layers, i.e. base layer and enhancement layer. Firstly, an PCA-FVQ (Principal Component Analysis based Fast Vector Quantization) coding method has been proposed to generate the base layer bitstream, which can be decoded independently to provide a basic image quality. Then the differential data between the original image and the reconstructed image decoded from the base layer bitstream is encoded by 3D-SPECK algorithm to generate the enhancement layer bitstream which can provide an enhanced image quality. The experimental results show that, under the same coding conditions, compared with 3D-SPECK algorithm, the proposed method has achieved 1-15dB higher image quality improvement in terms of SNR (Signal to Noise) while the compression ratio can be controlled precisely.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"13 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127257489","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
Wideband echo simulation and velocity compensation of midcourse ballistic target 中程弹道目标宽带回波仿真与速度补偿
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-01 DOI: 10.1109/ICOSP.2012.6491960
Yongjian Sun, Ying Fu, Z. Cheng, Heqiang Mu, Guiling Wang
{"title":"Wideband echo simulation and velocity compensation of midcourse ballistic target","authors":"Yongjian Sun, Ying Fu, Z. Cheng, Heqiang Mu, Guiling Wang","doi":"10.1109/ICOSP.2012.6491960","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6491960","url":null,"abstract":"Ballistic missile target (BMT) in midcourse possesses two motion features of high velocity and micro-motion. The measured Doppler shift is ambiguous and modulated by the micro-Doppler components. It is difficult to estimate the micro-Doppler bandwidth of BMT and extract its micro-motion parameters. Under the condition of taking account the motion features of BMT, its wideband echo mathematical model is established and investigated at first. Then, the velocity compensation technique is put forward which is based on simplified fractional Fourier transform (SFRFT), Particles Swarm Optimization (PSO) and minimum entropy theories. Simulation results show that the advanced method can present accurate parameter estimation and perform effective compensation for translation Doppler shift. Even in low signal to noise ratio (SNR) case, the simulated outcomes prove it still work well. This technique provides the precondition for micro-Doppler feature extraction.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128979712","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
A new method based on the surface consistence for picking the first arrival time of the seismic data 基于地表一致性的地震资料初到时间选取新方法
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-01 DOI: 10.1109/ICOSP.2012.6492038
D. He, C. Chen
{"title":"A new method based on the surface consistence for picking the first arrival time of the seismic data","authors":"D. He, C. Chen","doi":"10.1109/ICOSP.2012.6492038","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6492038","url":null,"abstract":"First arrival is important for processing seismic prospecting data, however, picking first arrival is a time consuming step. Various automatic first break picking methods, such as based on the wavelet energy differences, crosscorrelation technique, fractal dimension or neural network, are influenced by environmental noises because they rarely took the source-receiver geometrical relationship and surface-consistence into account. In this paper, a promising automatic first break detection method based on the acquisition geometry characters and seismic wave transmitting is presented. This method can acquire more accuracy travel times according to the statistical characteristics and surface-consistent characteristics of first arrival times within the common source gather and the common receiver gather, while the first kick time of every single trace can be estimated by the conventional methods.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130684426","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
Effective geometric features for human emotion recognition 人类情感识别的有效几何特征
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-01 DOI: 10.1109/ICOSP.2012.6491565
Anwar Saeed, A. Al-Hamadi, R. Niese, Moftah Elzobi
{"title":"Effective geometric features for human emotion recognition","authors":"Anwar Saeed, A. Al-Hamadi, R. Niese, Moftah Elzobi","doi":"10.1109/ICOSP.2012.6491565","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6491565","url":null,"abstract":"Human face carries variety of useful information. For example, person's emotion, behavior, and pain can be perceived from his facial expressions. In this paper, we make full use of eight fiducial facial points to extract geometric features used after that to infer the universal human emotions (happy, surprise, anger, disgust, fear, and sadness). We compared our results with results obtained by two different algorithms, representing the state of the art, on two separated databases. We show using features from eight facial points, our approach performs as well as an algorithm that utilizes features extracted from 68 fiducial facial points and as well as another algorithm that uses hundreds of texture features.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132451313","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: 18
Circular symmetric Shearlet transform and its application for image separation 圆对称Shearlet变换及其在图像分离中的应用
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-01 DOI: 10.1109/ICOSP.2012.6491598
Shuaiqi Liu, Shaohai Hu, Yang Xiao, Yongli An
{"title":"Circular symmetric Shearlet transform and its application for image separation","authors":"Shuaiqi Liu, Shaohai Hu, Yang Xiao, Yongli An","doi":"10.1109/ICOSP.2012.6491598","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6491598","url":null,"abstract":"In this paper, we firstly give a new discrete Shearlet transform by combining circular symmetric filter bank and shear operation. Then, we present a new combined dictionary consisting of wavelets and circular symmetric Shearlet and apply it to image separation based on geometric separation theory. Because of the combined dictionary sparsely represents point and curvilinear singularities respectively, the image can be decomposed into pointlike and curvelike parts as accurate as possible. We further give an efficient numerical scheme and discuss the advantage of this new algorithm.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132073119","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
DOA estimation of mixed near-field and far-field sources using spherical array 基于球面阵列的近场和远场混合源的DOA估计
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-01 DOI: 10.1109/ICOSP.2012.6491680
Qinghua Huang, Tao Song
{"title":"DOA estimation of mixed near-field and far-field sources using spherical array","authors":"Qinghua Huang, Tao Song","doi":"10.1109/ICOSP.2012.6491680","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6491680","url":null,"abstract":"In practical applications, the observations collected by a spherical array may be mixed far-field and near-field signals. A new approach which exploits the recursive relationship of spherical harmonics is proposed to estimate the direcitons of arrival (DOAs) of multiple mixed sources. The algorithm is independent of the far-field or near-field assumption in the spherical harminics domain. It avoids high dimensional search and provides accurate estimation. Simulation results demonstrate better estimation performance.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132325116","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
Fuzzy rule-based image exposure level estimation and adaptive gamma correction for contrast enhancement in dark images 基于模糊规则的图像曝光水平估计和暗图像对比度增强的自适应伽玛校正
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-01 DOI: 10.1109/ICOSP.2012.6491576
A. Khunteta, D. Ghosh, Ribhu
{"title":"Fuzzy rule-based image exposure level estimation and adaptive gamma correction for contrast enhancement in dark images","authors":"A. Khunteta, D. Ghosh, Ribhu","doi":"10.1109/ICOSP.2012.6491576","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6491576","url":null,"abstract":"Image enhancement of badly illuminated dark images is always a challenging as well as an important task in image processing. A technique which is often used to increase the contrast of dark images is gamma correction. However, the value of gamma suitable for appropriate enhancement of a given image remains a question. In this paper, we propose to first estimate the level of exposure in the input image using fuzzy reasoning that is based on a set of fuzzy rules. Following this, we derive the gamma value as a function of the exposure level. Also, we propose to apply the gamma correction on the negative of the input image since it produces a better contrast compared to the conventional gamma correction. The proposed method was applied to several badly illuminated images, both gray and color, and the results obtained were compared to that obtained using histogram equalization.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130228802","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: 17
Stereo matching based on robust likelihoods and MST leveraged smoothness priors 基于鲁棒似然和MST杠杆平滑先验的立体匹配
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-01 DOI: 10.1109/ICOSP.2012.6491783
Tianliang Liu, Liang Wang, Xiuchang Zhu
{"title":"Stereo matching based on robust likelihoods and MST leveraged smoothness priors","authors":"Tianliang Liu, Liang Wang, Xiuchang Zhu","doi":"10.1109/ICOSP.2012.6491783","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6491783","url":null,"abstract":"This paper proposes a global stereo correspondence using robust matching likelihoods and minimum spanning tree (MST) leveraged smooth priors in a probabilistic graphical model framework. The matching likelihoods of the stereo correspondence can be robustly constructed as data term by aggregating initial matching costs from Weber local descriptors using an unsymmetrical guided filtering in a linear model. The disparity priors are devised as smooth term to characterize the smoothness constraints leveraged by the MST structure. The presented stereo approach provides an effective and efficient way to reflect robust visual dissimilarity and resolve local and regional discontinuities. Experiments demonstrate that the proposed global stereo matching method can produce piecewise smooth, accurate and dense disparity map, while removing effectively the visual ambiguity of the stereo matching problem.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127980747","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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