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Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.最新文献

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A new iris segmentation method for recognition 一种新的虹膜分割识别方法
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. Pub Date : 2004-08-23 DOI: 10.1109/ICPR.2004.1334589
Junzhou Huang, Yunhong Wang, T. Tan, Jiali Cui
{"title":"A new iris segmentation method for recognition","authors":"Junzhou Huang, Yunhong Wang, T. Tan, Jiali Cui","doi":"10.1109/ICPR.2004.1334589","DOIUrl":"https://doi.org/10.1109/ICPR.2004.1334589","url":null,"abstract":"As the first stage, iris segmentation is very important for an iris recognition system. If the iris regions were not correctly segmented, there would possibly exist four kinds of noises in segmented iris regions: eyelashes, eyelids, reflections and pupil, which result in poor recognition performance. This paper proposes a new noise-removing approach based on the fusion of edge and region information. The whole procedure includes three steps: 1) rough localization and normalization, 2) edge information extraction based on phase congruency, and 3) the infusion of edge and region information. Experimental results on a set of 2,096 images show that the proposed method has encouraging performance for improving the recognition accuracy.","PeriodicalId":335842,"journal":{"name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116302822","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: 151
A practical stereo scheme for obstacle detection in automotive use 一种实用的汽车障碍物检测立体方案
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. Pub Date : 2004-08-23 DOI: 10.1109/ICPR.2004.1334538
H. Nakai, N. Takeda, H. Hattori, Y. Okamoto, K. Onoguchi
{"title":"A practical stereo scheme for obstacle detection in automotive use","authors":"H. Nakai, N. Takeda, H. Hattori, Y. Okamoto, K. Onoguchi","doi":"10.1109/ICPR.2004.1334538","DOIUrl":"https://doi.org/10.1109/ICPR.2004.1334538","url":null,"abstract":"We propose a novel stereo scheme for obstacle detection which is aimed at practical automotive use. The basic methodology involves simple region matching between images, observed from a stereo camera rig, where it is assumed the images are related by a pseudo-projective transform. It provides an effective solution for determining boundaries of obstacles in noisy conditions, e.g. caused by weather or poor illumination, which conventional planar projection approaches cannot cope with. The linearity of the camera model also contributes significantly to compensation of road inclination. Essentially, precise lane detection and prior knowledge concerning obstacles or ambient conditions are unnecessary and the proposed scheme is therefore applicable to a wide variety of outdoor scenes. We have also developed a multi-VLIW processor that fulfills the essential specifications for automotive use. Our scheme for obstacle detection is largely reflected in the processor design so that real-time on-board processing can be realized with acceptable cost to both automobile users and manufacturers. The implementation of a prototype and experimental results illustrates our method.","PeriodicalId":335842,"journal":{"name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116331888","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
Image analysis through local information measures 图像分析通过局部信息措施
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. Pub Date : 2004-08-23 DOI: 10.1109/ICPR.2004.1334223
Neil D. B. Bruce
{"title":"Image analysis through local information measures","authors":"Neil D. B. Bruce","doi":"10.1109/ICPR.2004.1334223","DOIUrl":"https://doi.org/10.1109/ICPR.2004.1334223","url":null,"abstract":"The properties of local image statistics are analyzed in a classic information theoretic setting. Local spatiochromatic image elements are projected into a space in which constituent components are independent by way of independent component analysis, allowing a fast and tractable means of considering the joint likelihood of such statistics. Observation of this likelihood allows inferences to be made regarding the informativeness of a particular set of statistics. This operation is shown to illuminate a number of perceptually important image properties, allowing figure-ground segmentation, removal of common or expected image elements, and prediction of regions of interest.","PeriodicalId":335842,"journal":{"name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116373320","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: 7
Iterative figure-ground discrimination 图像-背景的迭代辨别
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. Pub Date : 2004-08-23 DOI: 10.1109/ICPR.2004.1334006
Liang Zhao, L. Davis
{"title":"Iterative figure-ground discrimination","authors":"Liang Zhao, L. Davis","doi":"10.1109/ICPR.2004.1334006","DOIUrl":"https://doi.org/10.1109/ICPR.2004.1334006","url":null,"abstract":"Figure-ground discrimination is an important problem in computer vision. Previous work usually assumes that the color distribution of the figure can be described by a low dimensional parametric model such as a mixture of Gaussians. However, such approach has difficulty selecting the number of mixture components and is sensitive to the initialization of the model parameters. In this paper, we employ non-parametric kernel estimation for color distributions of both the figure and background. We derive an iterative sampling-expectation (SE) algorithm for estimating the color, distribution and segmentation. There are several advantages of kernel-density estimation. First, it enables automatic selection of weights of different cues based on the bandwidth calculation from the image itself. Second, it does not require model parameter initialization and estimation. The experimental results on images of cluttered scenes demonstrate the effectiveness of the proposed algorithm.","PeriodicalId":335842,"journal":{"name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116497414","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: 32
Switching particle filters for efficient real-time visual tracking 切换粒子过滤器，实现高效的实时视觉跟踪
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. Pub Date : 2004-08-23 DOI: 10.1109/ICPR.2004.1334360
T. Bando, T. Shibata, K. Doya, S. Ishii
{"title":"Switching particle filters for efficient real-time visual tracking","authors":"T. Bando, T. Shibata, K. Doya, S. Ishii","doi":"10.1109/ICPR.2004.1334360","DOIUrl":"https://doi.org/10.1109/ICPR.2004.1334360","url":null,"abstract":"Particle filtering is an approach to Bayesian estimation of intractable posterior distributions from time series signals distributed by non-Gaussian noise. A couple of variant particle filters have been proposed to approximate Bayesian computation with finite particles. However, the performance of such algorithms has not been fully evaluated under circumstances specific to real-time vision systems. In this article, we focus on two filters: condensation and auxiliary particle filter (APF). We show their contrasting characteristics in terms of accuracy and robustness. We then propose a novel filtering scheme that switches these filters, according to a simple criterion, for realizing more robust and accurate real-time visual tracking. The effectiveness of our scheme is demonstrated by real visual tracking experiments. We also show that our simple switching method significantly helps online learning of the target dynamics, which greatly improves tracking accuracy.","PeriodicalId":335842,"journal":{"name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121512028","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: 10
A graph decomposition approach to least squares attributed graph matching 最小二乘属性图匹配的图分解方法
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. Pub Date : 2004-08-23 DOI: 10.1109/ICPR.2004.1334265
Jianfeng Lu, T. Caelli, Jing-yu Yang
{"title":"A graph decomposition approach to least squares attributed graph matching","authors":"Jianfeng Lu, T. Caelli, Jing-yu Yang","doi":"10.1109/ICPR.2004.1334265","DOIUrl":"https://doi.org/10.1109/ICPR.2004.1334265","url":null,"abstract":"A graph decomposition model is combined with recent developments in least squares methods for matching attributed graphs. In particular, we show how this approach improves the robustness of graph matching and also reveals important structural similarities between subgraphs of target and model graphs.","PeriodicalId":335842,"journal":{"name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121749092","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
On the use of anthropometry in the invariant analysis of human actions 论人体测量学在人类行为不变性分析中的应用
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. Pub Date : 2004-08-23 DOI: 10.1109/ICPR.2004.1334410
A. Gritai, Yaser Sheikh, M. Shah
{"title":"On the use of anthropometry in the invariant analysis of human actions","authors":"A. Gritai, Yaser Sheikh, M. Shah","doi":"10.1109/ICPR.2004.1334410","DOIUrl":"https://doi.org/10.1109/ICPR.2004.1334410","url":null,"abstract":"We propose a novel approach to matching human actions using semantic correspondence between human bodies with an eye towards invariant analysis of activity. The correspondences are used to provide geometric constraints between multiple anatomical landmarks (e.g. hands, shoulders and feet) to match actions performed from different viewpoints and in different environments. The fact that the human body has certain anthropometric proportion allows innovative use of the machinery of epipolar geometry to provide constraints to accurately analyze actions performed by different people leading to some interesting results. Temporally invariant matching is performed, using non-linear time warping, to ensure that similar actions performed at different rates are accurately matched as well. Thus, the proposed algorithm guarantees that both temporal and view invariance is maintained in matching. We demonstrate the versatility of our algorithm in a number of challenging sequences and applications.","PeriodicalId":335842,"journal":{"name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124092403","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: 78
Spectral sound gap filling 频谱声隙填充
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. Pub Date : 2004-08-23 DOI: 10.1109/ICPR.2004.1334397
Iddo Drori, A. Fishbach, Y. Yeshurun
{"title":"Spectral sound gap filling","authors":"Iddo Drori, A. Fishbach, Y. Yeshurun","doi":"10.1109/ICPR.2004.1334397","DOIUrl":"https://doi.org/10.1109/ICPR.2004.1334397","url":null,"abstract":"We present a new method for automatically filling in gaps of textural sounds. Our approach is to transform the signal to the time-frequency space, fill in the gap, and apply the inverse transform to reconstruct the result. The complex spectrogram of the signal is partitioned into separate overlapping frequency bands. Each band is fragmented by segmentation of the time-frequency space and a partition of the spectrogram in time, and filled in with complex fragments by example. We demonstrate our method by filling in gaps of various types of textural sounds.","PeriodicalId":335842,"journal":{"name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126277862","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: 3
Face recognition based on discriminative manifold learning 基于判别流形学习的人脸识别
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. Pub Date : 2004-08-23 DOI: 10.1109/ICPR.2004.1333731
Yiming Wu, K. Chan, Lei Wang
{"title":"Face recognition based on discriminative manifold learning","authors":"Yiming Wu, K. Chan, Lei Wang","doi":"10.1109/ICPR.2004.1333731","DOIUrl":"https://doi.org/10.1109/ICPR.2004.1333731","url":null,"abstract":"In this paper, a discriminative manifold learning method for face recognition is proposed which achieved the discriminative embedding the high dimensional face data into a low dimensional hidden manifold. Unlike the recently proposed LLE, Isomap and Eigenmap algorithms, which are based on reconstruction purpose, our method uses the RCA algorithm to achieve nonlinear embedding and data discrimination at the same time. Also, the LLE and Isomap algorithms are crucially depends on the appropriateness of the neighborhood construction rule, in this paper, a CK-nearest neighborhood rule is proposed to achieve better neighborhood construction. Experimental results indicate the promising performance of the proposed method.","PeriodicalId":335842,"journal":{"name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126354436","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: 27
Model based object recognition by robust information fusion 基于模型的鲁棒信息融合目标识别
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. Pub Date : 2004-08-23 DOI: 10.1109/ICPR.2004.1334468
Haifeng Chen, I. Shimshoni, P. Meer
{"title":"Model based object recognition by robust information fusion","authors":"Haifeng Chen, I. Shimshoni, P. Meer","doi":"10.1109/ICPR.2004.1334468","DOIUrl":"https://doi.org/10.1109/ICPR.2004.1334468","url":null,"abstract":"Given a set of 3D model features and their 2D image, model based object recognition determines the correspondences between those features and hence computes the pose of the object. To achieve good recognition results, a novel approach based on robust information fusion is put forward in this paper. In this algorithm, the property of probabilistic peaking effect is employed to generate sets of hypothesized matches between model and image points. The correct hypotheses are obtained by searching for clusters among projections of predefined 3D reference points using the pose implied by each hypothesis. To assure the robustness of clustering, a new data fusion technique that is based on the nonparametric mode search method, mean shift, is proposed. The uncertainty information of the hypotheses is also incorporated into the fusion process to adaptively determine the bandwidth of the mean shift procedure. Experimental results demonstrating the satisfactory performance of this algorithm are presented.","PeriodicalId":335842,"journal":{"name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126520301","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: 7
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