2009 IEEE International Conference on Signal and Image Processing Applications最新文献_第9页

Source and system features for text independent speaker identification using iterative clustering approach 使用迭代聚类方法进行文本独立说话人识别的源和系统特征

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478637

A. Revathi, Y. Venkataramani

{"title":"Source and system features for text independent speaker identification using iterative clustering approach","authors":"A. Revathi, Y. Venkataramani","doi":"10.1109/ICSIPA.2009.5478637","DOIUrl":"https://doi.org/10.1109/ICSIPA.2009.5478637","url":null,"abstract":"The main objective of this paper is to explore the effectiveness of perceptual features combined with pitch for text independent speaker recognition. The proposed combined features are captured and training models are developed by K-means clustering procedure. Speaker recognition system is evaluated on clean test speeches and the experimental results reveal the performance of the proposed algorithm in performing speaker recognition based on minimum distance between test features and clusters. This algorithm gives the overall accuracy of 99.675% and 98.75% for the combined features and perceptual features respectively for identifying speaker among 8 speakers chosen randomly from 8 different dialect regions in “TIMIT” database. It also gives average accuracy of 96.375% and 95.625% for perceptual linear predictive cepstrum combined with pitch and perceptual linear predictive cepstrum respectively for 8 speakers chosen randomly from the same dialect region. The noteworthy feature of speaker identification algorithm is to evaluate the testing procedure on identical messages for all speakers. In this work, Fratio is computed as a theoretical measure to validate the experimental results on speaker recognition.","PeriodicalId":400165,"journal":{"name":"2009 IEEE International Conference on Signal and Image Processing Applications","volume":"400 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114693540","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 new method to compute T Wave Alternans 计算T波交变的新方法

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478662

M. B. Bahreyni Toossi, A. Heydari, G. Tabatabaei Yazdi

引用次数: 0

An off-line signature verification system 离线签名验证系统

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478727

Bradley Schafer, Serestina Viriri

引用次数: 56

Supersonic bullet state estimation using particle filtering 基于粒子滤波的超音速子弹状态估计

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478625

Toni Mäkinen, Pasi Pertilä, Pasi Auranen

引用次数: 6

Texture analysis based on a family of stochastic models 基于一组随机模型的纹理分析

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478711

K. Seetharaman

引用次数: 5

Image sequence processing applied to autonomous aerial navigation 图像序列处理在自主航空导航中的应用

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478706

A. Canhoto, E. H. Shiguemori, M. Domiciano

引用次数: 9

Virtual input using skin color model for robotic platform control 虚拟输入利用肤色模型对机器人平台进行控制

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478666

N. Nordin, M. Arshad, U. Soori, N. M. Yin

{"title":"Virtual input using skin color model for robotic platform control","authors":"N. Nordin, M. Arshad, U. Soori, N. M. Yin","doi":"10.1109/ICSIPA.2009.5478666","DOIUrl":"https://doi.org/10.1109/ICSIPA.2009.5478666","url":null,"abstract":"The aim of this research effort is to build a robust image-based virtual input for robotic platform control. Compared to the motion of the head, eye gaze, face or even the whole body, tracking of hand movement has become increasingly popular, efficient and more natural in human computer interaction. However available systems are invasive and require the user to wear gloves or markers. In this project, we propose a markerless hand tracking system as a virtual input device. We track the hand movement using skin color as detection cue because color allows fast processing, and is highly robust to geometric variations of hand pattern [1]. The skin segmentation are modeled by a parametric skin modeling using single Gaussian method where the mean and covariance of chrominant color are calculated and the Mahalanobis distance to classified skin and non-skin threshold are measured. Then by using blob analysis technique, the centroid value is extracted and uses it as the position of the hand. Robotic platform can be controlled by a set of six instructions including stop, start, forward, backward, left and right based on the movement of the hand.","PeriodicalId":400165,"journal":{"name":"2009 IEEE International Conference on Signal and Image Processing Applications","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126417803","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

Machine condition monitoring using omnidirectional thermal imaging system 机器状态监测采用全方位热成像系统

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478665

Wai Kit Wong, Poi Ngee Tan, C. Loo, W. Lim

{"title":"Machine condition monitoring using omnidirectional thermal imaging system","authors":"Wai Kit Wong, Poi Ngee Tan, C. Loo, W. Lim","doi":"10.1109/ICSIPA.2009.5478665","DOIUrl":"https://doi.org/10.1109/ICSIPA.2009.5478665","url":null,"abstract":"This paper proposed an efficient omnidirectional thermal imaging system for machine condition monitoring. In this thermal imaging system, the omnidirectional scenes in a machine room, production plant, pump house, laboratory, etc within a factory site are first captured using a thermal camera attached to a custom made hyperbolic IR (infrared radiation) reflected mirror. The captured scenes with some machines to be monitored are then fed into a laptop computer for image processing and alarm purposes. Log-polar mapping is proposed to map the captured omnidirectional thermal image into panoramic image, hence providing the observer or image processing tools a complete wide angle of view. A simple and effective machine condition monitoring algorithm is also designed for monitored the normal/overheat condition for machines. The observed significances of this new proposed omnidirectional thermal imaging system include: it can cover a wide angle of view (360° omnidirectional), using minimum hardware, low cost and the output thermal images are with higher data compression. Experimental results show that the proposed thermal imaging system achieves high accuracy in monitoring machine condition.","PeriodicalId":400165,"journal":{"name":"2009 IEEE International Conference on Signal and Image Processing Applications","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116254186","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

An efficient branch and bound method for face recognition 一种高效的人脸识别分支定界方法

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478626

Yuzuko Utsumi, Yuta Matsumoto, Y. Iwai

引用次数: 4

Locating texture boundaries using a fast unsupervised approach based on clustering algorithms fusion and level set 基于聚类算法、融合和水平集的快速无监督纹理边界定位方法

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478632

Mehryar Emambakhsh, Mohammad Hossein Sedaaghi, H. Ebrahimnezhad

引用次数: 3