Proceedings Ninth IEEE International Conference on Computer Vision最新文献_第10页

Fast vehicle detection with probabilistic feature grouping and its application to vehicle tracking 基于概率特征分组的快速车辆检测及其在车辆跟踪中的应用

Proceedings Ninth IEEE International Conference on Computer Vision Pub Date : 2003-10-13 DOI: 10.1109/ICCV.2003.1238392

Zuwhan Kim, Jitendra Malik

引用次数: 186

A novel approach for texture shape recovery 纹理形状恢复的一种新方法

Proceedings Ninth IEEE International Conference on Computer Vision Pub Date : 2003-10-13 DOI: 10.1109/ICCV.2003.1238650

Jing Wang, Kristin J. Dana

引用次数: 18

A multi-scale generative model for animate shapes and parts 动画形状和部件的多尺度生成模型

Proceedings Ninth IEEE International Conference on Computer Vision Pub Date : 2003-10-13 DOI: 10.1109/ICCV.2003.1238350

A. Dubinskiy, Song-Chun Zhu

{"title":"A multi-scale generative model for animate shapes and parts","authors":"A. Dubinskiy, Song-Chun Zhu","doi":"10.1109/ICCV.2003.1238350","DOIUrl":"https://doi.org/10.1109/ICCV.2003.1238350","url":null,"abstract":"We present a multiscale generative model for representing animate shapes and extracting meaningful parts of objects. The model assumes that animate shapes (2D simple dosed curves) are formed by a linear superposition of a number of shape bases. These shape bases resemble the multiscale Gabor bases in image pyramid representation, are well localized in both spatial and frequency domains, and form an over-complete dictionary. This model is simpler than the popular B-spline representation since it does not engage a domain partition. Thus it eliminates the interference between adjacent B-spline bases, and becomes a true linear additive model. We pursue the bases by reconstructing the shape in a coarse-to-fine procedure through curve evolution. These shape bases are further organized in a tree-structure, where the bases in each subtree sum up to an intuitive part of the object. To build probabilistic model for a class of objects, we propose a Markov random field model at each level of the tree representation to account for the spatial relationship between bases. Thus the final model integrates a Markov tree (generative) model over scales and a Markov random field over space. We adopt EM-type algorithm for learning the meaningful parts for a shape class, and show some results on shape synthesis.","PeriodicalId":131580,"journal":{"name":"Proceedings Ninth IEEE International Conference on Computer Vision","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114023803","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: 22

Outlier correction in image sequences for the affine camera 仿射相机图像序列的离群值校正

Proceedings Ninth IEEE International Conference on Computer Vision Pub Date : 2003-10-13 DOI: 10.1109/ICCV.2003.1238400

D. Huynh, R. Hartley, A. Heyden

引用次数: 37

Using temporal coherence to build models of animals 利用时间一致性建立动物模型

Proceedings Ninth IEEE International Conference on Computer Vision Pub Date : 2003-10-13 DOI: 10.1109/ICCV.2003.1238364

Deva Ramanan, D. Forsyth

{"title":"Using temporal coherence to build models of animals","authors":"Deva Ramanan, D. Forsyth","doi":"10.1109/ICCV.2003.1238364","DOIUrl":"https://doi.org/10.1109/ICCV.2003.1238364","url":null,"abstract":"We describe a system that can build appearance models of animals automatically from a video sequence of the relevant animal with no explicit supervisory information. The video sequence need not have any form of special background. Animals are modeled as a 2D kinematic chain of rectangular segments, where the number of segments and the topology of the chain are unknown. The system detects possible segments, clusters segments whose appearance is coherent over time, and then builds a spatial model of such segment clusters. The resulting representation of the spatial configuration of the animal in each frame can be seen either as a track - in which case the system described should be viewed as a generalized tracker, that is capable of modeling objects while tracking them - or as the source of an appearance model which can be used to build detectors for the particular animal. This is because knowing a video sequence is temporally coherent - i.e. that a particular animal is present through the sequence - is a strong supervisory signal. The method is shown to be successful as a tracker on video sequences of real scenes showing three different animals. For the same reason it is successful as a tracker, the method results in detectors that can be used to find each animal fairly reliably within the Corel collection of images.","PeriodicalId":131580,"journal":{"name":"Proceedings Ninth IEEE International Conference on Computer Vision","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117025042","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: 73

Shape gradients for histogram segmentation using active contours 使用活动轮廓进行直方图分割的形状梯度

Proceedings Ninth IEEE International Conference on Computer Vision Pub Date : 2003-10-13 DOI: 10.1109/ICCV.2003.1238375

S. Jehan-Besson, M. Barlaud, G. Aubert, O. Faugeras

引用次数: 64

Facial expression understanding in image sequences using dynamic and active visual information fusion 基于动态和主动视觉信息融合的图像序列面部表情理解

Proceedings Ninth IEEE International Conference on Computer Vision Pub Date : 2003-10-13 DOI: 10.1109/ICCV.2003.1238640

Yongmian Zhang, Q. Ji

引用次数: 43

Automatic video summarization by graph modeling 基于图形建模的自动视频摘要

Proceedings Ninth IEEE International Conference on Computer Vision Pub Date : 2003-10-13 DOI: 10.1109/ICCV.2003.1238320

C. Ngo, Yu-Fei Ma, HongJiang Zhang

引用次数: 155

Fragmentation in the vision of scenes 场景视觉的碎片化

Proceedings Ninth IEEE International Conference on Computer Vision Pub Date : 2003-10-13 DOI: 10.1109/ICCV.2003.1238326

J. Geusebroek, A. Smeulders

引用次数: 33

Graph partition by Swendsen-Wang cuts 用Swendsen-Wang分割图

Proceedings Ninth IEEE International Conference on Computer Vision Pub Date : 2003-10-13 DOI: 10.1109/ICCV.2003.1238362

Adrian Barbu, Song-Chun Zhu

引用次数: 129