{"title":"Full body tracking-based human action recognition","authors":"Junxia Gu, Xiaoqing Ding, Shengjin Wang, Youshou Wu","doi":"10.1109/ICPR.2008.4761198","DOIUrl":"https://doi.org/10.1109/ICPR.2008.4761198","url":null,"abstract":"","PeriodicalId":74516,"journal":{"name":"Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74020524","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}
Pub Date : 2008-01-01DOI: 10.1109/ICPR.2008.4761578
Qi Zou, Siwei Luo, Yaping Huang, Yan Li
{"title":"Contour grouping with shape manifold and distance transform","authors":"Qi Zou, Siwei Luo, Yaping Huang, Yan Li","doi":"10.1109/ICPR.2008.4761578","DOIUrl":"https://doi.org/10.1109/ICPR.2008.4761578","url":null,"abstract":"","PeriodicalId":74516,"journal":{"name":"Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73596294","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}
Pub Date : 2008-01-01DOI: 10.1109/ICPR.2008.4761155
Anlong Ming, Huadong Ma
{"title":"Frame-skipping tracking for single object with global motion detection","authors":"Anlong Ming, Huadong Ma","doi":"10.1109/ICPR.2008.4761155","DOIUrl":"https://doi.org/10.1109/ICPR.2008.4761155","url":null,"abstract":"","PeriodicalId":74516,"journal":{"name":"Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86358555","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}
This paper presents a novel LDA algorithm named 2DHLDA (2-Dimensional Heteroscedastic Linear Discriminant Analysis). The proposed algorithms are applied on age-group classification using facial images under various lighting conditions. 2DHLDA significantly overcomes the singularity problem, so-called 'Small Sample Size' problem (S3 problem), and the original feature space is split into useful dimensions and nuisance dimensions to reduce the influence of different lighting conditions. A two-phased dimensional reduction step, namely 2DHLDA+LDA, is used in our experiment. Our experimental results show that the new 2DHLDA-based approach improves classification accuracy more than the conventional 1D and 2D-based approaches.
本文提出了一种新的LDA算法2DHLDA (2-Dimensional heteroscadastic Linear Discriminant Analysis)。将该算法应用于不同光照条件下人脸图像的年龄分类。2DHLDA显著克服了奇异性问题，即所谓的“小样本大小”问题(S3问题)，并将原始特征空间分割为有用维度和讨厌维度，以减少不同光照条件的影响。我们的实验采用两阶段降维步骤，即2DHLDA+LDA。实验结果表明，与传统的1D和2d分类方法相比，基于2dhlda的分类方法提高了分类精度。
{"title":"Two-dimensional Heteroscedastic Linear Discriminant Analysis for Age-group Classification","authors":"K. Ueki, T. Hayashida, Tetsunori Kobayashi","doi":"10.1109/ICPR.2006.1138","DOIUrl":"https://doi.org/10.1109/ICPR.2006.1138","url":null,"abstract":"This paper presents a novel LDA algorithm named 2DHLDA (2-Dimensional Heteroscedastic Linear Discriminant Analysis). The proposed algorithms are applied on age-group classification using facial images under various lighting conditions. 2DHLDA significantly overcomes the singularity problem, so-called 'Small Sample Size' problem (S3 problem), and the original feature space is split into useful dimensions and nuisance dimensions to reduce the influence of different lighting conditions. A two-phased dimensional reduction step, namely 2DHLDA+LDA, is used in our experiment. Our experimental results show that the new 2DHLDA-based approach improves classification accuracy more than the conventional 1D and 2D-based approaches.","PeriodicalId":74516,"journal":{"name":"Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2006-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83169599","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}
We propose a criterion, called maximal redundancy, for onset detection in time series. The concept redundancy is adopted from information theory and indicates how well a signal locally can be explained by an underlying model. It is shown that a local maximum in the redundancy is a good indicator for an onset. It is proven that maximal redundancy detection is a statistical asymptotically optimal detector for AR processes. It also accounts for potentially non-Gaussian time series and non- Gaussian innovations in the AR processes. Several applications are shown where the new criterion has been successfully applied.
{"title":"Onset Detection through Maximal Redundancy Detection","authors":"G. V. Dijck, M. Hulle","doi":"10.1109/ICPR.2006.907","DOIUrl":"https://doi.org/10.1109/ICPR.2006.907","url":null,"abstract":"We propose a criterion, called maximal redundancy, for onset detection in time series. The concept redundancy is adopted from information theory and indicates how well a signal locally can be explained by an underlying model. It is shown that a local maximum in the redundancy is a good indicator for an onset. It is proven that maximal redundancy detection is a statistical asymptotically optimal detector for AR processes. It also accounts for potentially non-Gaussian time series and non- Gaussian innovations in the AR processes. Several applications are shown where the new criterion has been successfully applied.","PeriodicalId":74516,"journal":{"name":"Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2006-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88150203","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}
Reference point detection is an important process for fingerprint analysis. In this paper, we propose a novel feature which is named local axial symmetry (LAS) and present an algorithm to calculate reference point of a fingerprint based on this kind of feature. Experimental results demonstrate its feasibility, validity and the ability to detect reference points of all classes of fingerprints including arch-type fingerprints which is difficult to locate a stable reference point with other methods.
{"title":"Fingerprint Reference Point Detection Based on Local Axial Symmetry","authors":"Tong Liu, Chao Zhang, Pengwei Hao","doi":"10.1109/ICPR.2006.574","DOIUrl":"https://doi.org/10.1109/ICPR.2006.574","url":null,"abstract":"Reference point detection is an important process for fingerprint analysis. In this paper, we propose a novel feature which is named local axial symmetry (LAS) and present an algorithm to calculate reference point of a fingerprint based on this kind of feature. Experimental results demonstrate its feasibility, validity and the ability to detect reference points of all classes of fingerprints including arch-type fingerprints which is difficult to locate a stable reference point with other methods.","PeriodicalId":74516,"journal":{"name":"Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2006-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77523880","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}
D. Kropotov, Nikita Ptashko, O. Vasiliev, D. Vetrov
{"title":"On Kernel Selection in Relevance Vector Machines Using Stability Principle","authors":"D. Kropotov, Nikita Ptashko, O. Vasiliev, D. Vetrov","doi":"10.1109/ICPR.2006.900","DOIUrl":"https://doi.org/10.1109/ICPR.2006.900","url":null,"abstract":"","PeriodicalId":74516,"journal":{"name":"Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2006-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85778239","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}
{"title":"A Kernel-based Signal Localization Method for NIRS Brain-computer Interfaces","authors":"Haihong Zhang, Cuntai Guan","doi":"10.1109/ICPR.2006.90","DOIUrl":"https://doi.org/10.1109/ICPR.2006.90","url":null,"abstract":"","PeriodicalId":74516,"journal":{"name":"Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2006-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83593327","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}
{"title":"Identifying centers of circulating and spiraling flow patterns","authors":"Chi Lap Yip, K. Wong","doi":"10.1109/ICPR.2006.675","DOIUrl":"https://doi.org/10.1109/ICPR.2006.675","url":null,"abstract":"","PeriodicalId":74516,"journal":{"name":"Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2006-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77521529","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}
Long Quan, G. Sanniti, Seong-Whan Lee, J. Bigun, N. Ratha, P. C. Yuen
In a process for the production of oxygen by two-stage low-temperature rectification of air wherein the air is cooled in a primary heat exchanger, and the product oxygen is withdrawn from the low-pressure stage and warmed by heat exchange in a heat exchanger separate from the primary heat exchanger with a gaseous stream fed to the high-pressure stage, a gaseous stream fed to the high-pressure stage, a gaseous stream being withdrawn as the compensating stream from the high-pressure stage, warmed at least partially in the primary heat exchanger countercurrently to the entering air, and expanded in at least one turbine, the improvement which comprises recooling the compensating stream prior to entering the turbines, by heat exchange with the product oxygen in said heat exchanger separate from the primary heat exchanger.
{"title":"ICPR2006 Technical Chairs","authors":"Long Quan, G. Sanniti, Seong-Whan Lee, J. Bigun, N. Ratha, P. C. Yuen","doi":"10.1109/ICPR.2006.670","DOIUrl":"https://doi.org/10.1109/ICPR.2006.670","url":null,"abstract":"In a process for the production of oxygen by two-stage low-temperature rectification of air wherein the air is cooled in a primary heat exchanger, and the product oxygen is withdrawn from the low-pressure stage and warmed by heat exchange in a heat exchanger separate from the primary heat exchanger with a gaseous stream fed to the high-pressure stage, a gaseous stream fed to the high-pressure stage, a gaseous stream being withdrawn as the compensating stream from the high-pressure stage, warmed at least partially in the primary heat exchanger countercurrently to the entering air, and expanded in at least one turbine, the improvement which comprises recooling the compensating stream prior to entering the turbines, by heat exchange with the product oxygen in said heat exchanger separate from the primary heat exchanger.","PeriodicalId":74516,"journal":{"name":"Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2006-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91395265","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}
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