2010 IEEE International Conference on Image Processing最新文献_第8页

Capabilities and limitations of mono-camera pedestrian-based autocalibration 基于行人的单相机自动校准的能力和局限性

2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5653359

R. Mohedano, N. García

引用次数: 5

People identification using shadow dynamics 使用阴影动态识别人物

2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5652653

Y. Iwashita, A. Stoica, R. Kurazume

{"title":"People identification using shadow dynamics","authors":"Y. Iwashita, A. Stoica, R. Kurazume","doi":"10.1109/ICIP.2010.5652653","DOIUrl":"https://doi.org/10.1109/ICIP.2010.5652653","url":null,"abstract":"People identification has numerous applications, ranging from surveillance/security to robotics. Face and body movement/ gait biometrics are the most important tools for this task. Traditional biometrics use direct observation of the body, yet in some situations a projection may offer more information than the direct signal, for example the shadow of a person observed from overhead, e.g. from an unmanned aerial vehicle, may contain more detail than the top view of the head/body. We introduced the idea of shadow biometrics, exploiting biometrics information in human shadow silhouettes as derived from video imagery; this enables “overhead biometrics”, for recognition of human identity and behavior from high altitude airborne platforms using overhead video sequences. In this paper, we provide a demonstration of person identification based on gait recognition from shadow analysis. We describe compensation steps to address shadow variation with conditions of observation (sun position, etc). We define measures of shape variation, such as horizontal stripes on the silhouette, their length change in time determines frequency components (here spherical harmonics) for each gait cycle, which are used for classification by a k-nearest neighbor classifier. A correct classification rate (CCR) of 95 % was obtained. A degradation of CCR from 95 % to 75 % was observed when reduced spatial and temporal resolution from 1cm to 2cm, and from 30fps to 15fps.","PeriodicalId":228308,"journal":{"name":"2010 IEEE International Conference on Image Processing","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131828361","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: 15

Generalized YUV interpolation of CFA images CFA图像的广义YUV插值

2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5651827

M. Wang, T. Blu

引用次数: 3

Detection of QRS complex in ECG signal based on classification approach 基于分类方法的心电信号QRS复合体检测

2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5654091

B. Jalil, O. Laligant, E. Fauvet, Ouadi Beya

{"title":"Detection of QRS complex in ECG signal based on classification approach","authors":"B. Jalil, O. Laligant, E. Fauvet, Ouadi Beya","doi":"10.1109/ICIP.2010.5654091","DOIUrl":"https://doi.org/10.1109/ICIP.2010.5654091","url":null,"abstract":"Electrocardiogram (ECG) signals are used to analyze the cardiovascular activity in the human body and have a primary role in the diagnosis of several heart diseases. The QRS complex is the most important and distinguishable component in the ECG because of its spiked nature and high amplitude. Automatic detection and delineation of the QRS complex in ECG is of extreme importance for computer aided diagnosis of cardiac disorder. Therefore, the accurate detection of this component is crucial to the performance of subsequent machine learning algorithms for cardiac disease classification. The aim of the present work is to detect the QRS wave from electrocardiogram (ECG) signals. Initially the baseline drift has been removed from the signal followed by the decomposition using continuous wavelet transform. Modulus maxima approach proposed by Mallat has been used to compute the Lipschitz exponent of the components. By using the property of R peak, having highest and prominent amplitude and Lipschitz exponents, we have applied the K means clustering technique to classify QRS complex. In order to evaluate the algorithm, the analysis has been done on MIT-BIH Arrhythmia database.","PeriodicalId":228308,"journal":{"name":"2010 IEEE International Conference on Image Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130790327","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: 14

Multiview image compression using a layer-based representation 使用基于层的表示的多视图图像压缩

2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5651160

Andriy Gelman, P. Dragotti, V. Velisavljevic

引用次数: 18

A general texture mapping framework for image-based 3D modeling 用于基于图像的3D建模的通用纹理映射框架

2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5653003

Lin Xu, E. Li, Jianguo Li, Yurong Chen, Yimin Zhang

引用次数: 23

Patch confidence k-nearest neighbors denoising Patch置信度k近邻去噪

2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5651316

C. Angelino, E. Debreuve, M. Barlaud

引用次数: 12

Stream carving: An adaptive seam carving algorithm 流雕刻:一种自适应缝雕刻算法

2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5653984

D. Domingues, Alexandre Alahi, P. Vandergheynst

引用次数: 50

A multiple description codec based on combinatorial optimization and its application to image coding 基于组合优化的多描述编解码器及其在图像编码中的应用

2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5651628

Yuhua Fan, Jia Wang, Jun Sun, Cheng Zhi

引用次数: 0

Cost-sensitive subspace learning for human age estimation 人类年龄估计的代价敏感子空间学习

2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5650873

Jiwen Lu, Yap-Peng Tan

引用次数: 14