2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)最新文献_第6页

Priori-sensitive resampling particle filter for dynamic state estimation of UUVs 基于优先级敏感重采样粒子滤波的uuv动态状态估计

2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA) Pub Date : 2013-05-12 DOI: 10.1109/WOSSPA.2013.6602396

S. K. Das, C. Mazumdar

引用次数: 4

New paradigm for recognition of aggressive human behavior based on bag-of-features and skeleton graph 基于特征袋和骨架图的人类攻击行为识别新范式

2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA) Pub Date : 2013-05-12 DOI: 10.1109/WOSSPA.2013.6602350

A. Ouanane, A. Serir

{"title":"New paradigm for recognition of aggressive human behavior based on bag-of-features and skeleton graph","authors":"A. Ouanane, A. Serir","doi":"10.1109/WOSSPA.2013.6602350","DOIUrl":"https://doi.org/10.1109/WOSSPA.2013.6602350","url":null,"abstract":"The human action recognition is an active field on computer vision in the last decade. It consists to automatically identify of human behavior and interpreting their actions. In this paper, we propose a new paradigm to recognize aggressive human behavior based on two models. The first method is based on shape representation by using bag-of-features approach and the second method is based on the skeleton graph in order to extract motion features. The feature association of the two models is carried out at each frame of atomic action. Thus, an appropriate label is assigned to each feature association vector by using an offline clustering algorithm such as k-means. The obtained feature vectors are conducted from a sequence video by using a set of labels as an optimum codebook. The aggressive behaviors are then recognized by applying a support vector machine classifier. The proposed algorithm enables robust recognition in very challenging situations such as dynamic environment and deals well with self-occlusion problem. Experimental results are conducted on KTH dataset actions and demonstrate that the proposed approach provide significant recognition rate of 96%.","PeriodicalId":417940,"journal":{"name":"2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121191985","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

Vision-based approach for people tracking using gait in distributed and automated visual surveillance 分布式自动视觉监控中基于视觉的步态跟踪方法

2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA) Pub Date : 2013-05-12 DOI: 10.1109/WOSSPA.2013.6602362

Imed Bouchrika, A. Bekhouch, A. Amirat

{"title":"Vision-based approach for people tracking using gait in distributed and automated visual surveillance","authors":"Imed Bouchrika, A. Bekhouch, A. Amirat","doi":"10.1109/WOSSPA.2013.6602362","DOIUrl":"https://doi.org/10.1109/WOSSPA.2013.6602362","url":null,"abstract":"Recent research studies have now confirmed the possibility of recognizing people by the way they walk i.e. their gait. As yet there has been little formal study in surveillance systems for identity tracking using gait signature over different camera views. We present a new approach for people tracking and identification between different non-intersecting un-calibrated cameras based on gait analysis. A vision-based markerless extraction method is being utilized for deriving the gait kinematics as well as anthropometric measurements in order to produce a gait signature. Given the nature of surveillance data, a parametric Fourier descriptor is being used to guide the extraction process of the legs. The novelty of our approach is motivated by the recent research for people recognition using gait. The experimental results confirm the robustness of our method to extract gait features in different scenarios with a classification rate of 92% for lateral views. Furthermore, experimental results revealed the potential of our method to work in real surveillance systems to recognize walking people over different views with achieved cross-camera recognition rates of 95% and 90% for two different views.","PeriodicalId":417940,"journal":{"name":"2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)","volume":"429 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116992403","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

Order-statistics minimum error detector for optimal delay detection in multipath Rayleigh fading channel context 多径瑞利衰落信道中最优延迟检测的序统计最小误差检测器

2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA) Pub Date : 2013-05-12 DOI: 10.1109/WOSSPA.2013.6602409

A. Boudjellal, K. Abed-Meraim, A. Belouchrani, P. Ravier

引用次数: 1

Incremental induction rules clustering 增量归纳规则聚类

2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA) Pub Date : 2013-05-12 DOI: 10.1109/WOSSPA.2013.6602413

A. Chemchem, Y. Djenouri, H. Drias

引用次数: 3

UWB-based elliptical target localization in an indoor environment 基于超宽带的室内椭圆目标定位

2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA) Pub Date : 2013-05-12 DOI: 10.1109/WOSSPA.2013.6602336

O. Onalaja, M. Ghavami, M. Adjrad

{"title":"UWB-based elliptical target localization in an indoor environment","authors":"O. Onalaja, M. Ghavami, M. Adjrad","doi":"10.1109/WOSSPA.2013.6602336","DOIUrl":"https://doi.org/10.1109/WOSSPA.2013.6602336","url":null,"abstract":"Geometrically driven Ultra-Wideband (UWB) based approach to indoor localization is seemingly defined on the assumption that multipath signals have been resolved in a pre-processing step. This assumed multipath resolving ensures that the multipath propagation scenario expected with any indoor signal propagation, is downgraded to a two-path one which inadvertently oversimplifies the underlying localization problem. In this work, we propose a full solution which consists of a pre-localization step and the actual localization task. In a previous work, we presented a pre-processing or pre-localization step which makes use of electrically-driven reflection properties of UWB signals to extract information from the reflected signals in the multipath environment; and ultimately reduce the multipath propagation scenario into a two-path one based on these extracted information. As a direct consequence, a way is paved for geometrical approaches which are usually driven by either the Time of Arrival (TOA), Angle of Arrival (AOA) and Time Difference of Arrival (TDOA) position estimation method. In this work, we show that by carefully considering the inherent properties of the UWB technology, UWB based 2D indoor localization can be efficiently achieved by using just two receivers and one transmitter which contrasts current geometric approaches which require at least three receivers and one transmitter for localization.","PeriodicalId":417940,"journal":{"name":"2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134473903","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 USB based data acquisition system for EMG signal recording 基于USB的肌电信号记录数据采集系统

2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA) Pub Date : 2013-05-12 DOI: 10.1109/WOSSPA.2013.6602367

S. Boukhenous, N. Meziane, M. Attari, Y. Remram

引用次数: 6

SAR images noise-removal method using the stationary contourlet transform 基于平稳contourlet变换的SAR图像去噪方法

2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA) Pub Date : 2013-05-12 DOI: 10.1109/WOSSPA.2013.6602403

Soumya Ourabia, S. Boutarfa, Y. Smara

{"title":"SAR images noise-removal method using the stationary contourlet transform","authors":"Soumya Ourabia, S. Boutarfa, Y. Smara","doi":"10.1109/WOSSPA.2013.6602403","DOIUrl":"https://doi.org/10.1109/WOSSPA.2013.6602403","url":null,"abstract":"Synthetic Aperture Radar (SAR) images are strongly corrupted by the speckle noise due to random electromagnetic waves interference. The speckle noise reduces the quality of images and makes their interpretation and analysis really difficult, so it's necessary to filter images to remove the noise in order to preserve as much as possible the most important features of the signal. To achieve this goal, in this paper we present an efficient method that reduces the speckle noise in SAR images, based on the Contourlet Transform (CT). The CT is a new image decomposition scheme that provides sparse representation of the data, constructed by combining two successive stages, applying in first a Laplacian pyramidal decomposition followed by a directional filter bank. This non-linear approach is designed to give a good representation of the geometrical content of the image. Recently, the Stationary version of the Contourlet Transform (SCT) has been proposed to preserve the shift-invariant property. In the present paper, we explore two different de-noising methods: the Bayesian Shrinkage based on a weighting factor that reduces noise by using the contourlet coefficients, and the Soft Thresholding based on the choice of the threshold that ensures adaptation to the noiseless signals. Hence, we present a comparative study of the results obtained through the SCT considering different stages of decomposition's levels and different kind of filters, and the Lee Adaptive Filter. A performance evaluation is realized to validate our methods.","PeriodicalId":417940,"journal":{"name":"2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131321805","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

Creation of Uyghur offline handwritten database 创建维吾尔语离线手写数据库

2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA) Pub Date : 2013-05-12 DOI: 10.1109/WOSSPA.2013.6602378

K. Ubul, Mavjuda Zunun, A. Aysa, Nurbiya Yadikar, Umut Yunus

引用次数: 2

Detection of some heart diseases using fractal dimension and chaos theory 用分形维数和混沌理论检测心脏疾病

2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA) Pub Date : 2013-05-12 DOI: 10.1109/WOSSPA.2013.6602342

Ibticeme Sedielmaci, F. Bereksi Reguig

引用次数: 5