... IEEE International Conference on Computer Vision workshops. IEEE International Conference on Computer Vision最新文献_第3页

Energy Association Filter for Online Data Association with Missing Data 缺失数据在线关联的能量关联滤波器

... IEEE International Conference on Computer Vision workshops. IEEE International Conference on Computer Vision Pub Date : 2007-03-08 DOI: 10.1007/978-3-540-89682-1_18

E. Abir, Dubuisson Séverine, Béréziat Dominique

引用次数: 0

Conditional Random Fields for Contextual Human Motion Recognition 上下文人体运动识别的条件随机场

... IEEE International Conference on Computer Vision workshops. IEEE International Conference on Computer Vision Pub Date : 2005-10-17 DOI: 10.1109/ICCV.2005.59

C. Sminchisescu, Atul Kanaujia, Zhiguo Li, Dimitris N. Metaxas

{"title":"Conditional Random Fields for Contextual Human Motion Recognition","authors":"C. Sminchisescu, Atul Kanaujia, Zhiguo Li, Dimitris N. Metaxas","doi":"10.1109/ICCV.2005.59","DOIUrl":"https://doi.org/10.1109/ICCV.2005.59","url":null,"abstract":"We present algorithms for recognizing human motion in monocular video sequences, based on discriminative conditional random field (CRF) and maximum entropy Markov models (MEMM). Existing approaches to this problem typically use generative (joint) structures like the hidden Markov model (HMM). Therefore they have to make simplifying, often unrealistic assumptions on the conditional independence of observations given the motion class labels and cannot accommodate overlapping features or long term contextual dependencies in the observation sequence. In contrast, conditional models like the CRFs seamlessly represent contextual dependencies, support efficient, exact inference using dynamic programming, and their parameters can be trained using convex optimization. We introduce conditional graphical models as complementary tools for human motion recognition and present an extensive set of experiments that show how these typically outperform HMMs in classifying not only diverse human activities like walking, jumping. running, picking or dancing, but also for discriminating among subtle motion styles like normal walk and wander walk","PeriodicalId":72022,"journal":{"name":"... IEEE International Conference on Computer Vision workshops. IEEE International Conference on Computer Vision","volume":"38 1","pages":"1808-1815"},"PeriodicalIF":0.0,"publicationDate":"2005-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78294599","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: 139

An affine invariant deformable shape representation for general curves 一般曲线的仿射不变可变形形状表示

... IEEE International Conference on Computer Vision workshops. IEEE International Conference on Computer Vision Pub Date : 2003-10-13 DOI: 10.1109/ICCV.2003.1238477

Astrom

引用次数: 13

Very High Accuracy Velocity Estimation using Orientation Tensors Parametric Motion and Simultaneous Segmentation of the Motion Field 基于方向张量、参数运动和运动场同步分割的高精度速度估计

... IEEE International Conference on Computer Vision workshops. IEEE International Conference on Computer Vision Pub Date : 2001-07-07 DOI: 10.1109/ICCV.2001.10042

Gunnar Farnebäck

引用次数: 140

On Projection Matrices and their Applications in Computer Vision 投影矩阵及其在计算机视觉中的应用

... IEEE International Conference on Computer Vision workshops. IEEE International Conference on Computer Vision Pub Date : 2001-01-01 DOI: 10.1109/ICCV.2001.10057

Lior Wolf, A. Shashua

引用次数: 28

Recognition of Shapes by Editing Shock Graphs 通过编辑激波图识别形状

... IEEE International Conference on Computer Vision workshops. IEEE International Conference on Computer Vision Pub Date : 2001-01-01 DOI: 10.1109/ICCV.2001.10050

T. Sebastian, P. Klein, B. Kimia

{"title":"Recognition of Shapes by Editing Shock Graphs","authors":"T. Sebastian, P. Klein, B. Kimia","doi":"10.1109/ICCV.2001.10050","DOIUrl":"https://doi.org/10.1109/ICCV.2001.10050","url":null,"abstract":"This paper presents a novel recognition framework which is based on matching shock graphs of 2D shape outlines, where the distance between two shapes is defined to be the cost of the least action path deforming one shape to another. Three key ideas render the implementation of this framework practical. First, the shape space is partitioned by defining an equivalence class on shapes, where two shapes with the same shock graph topology are considered to be equivalent. Second, the space of deformations is discretized by defining all deformations with the same sequence of shock graph transitions as equivalent. Shock transitions are points along the deformation where the shock graph topology changes. Third, we employ a graph edit distance algorithm that searches in the space of all possible transition sequences and finds the globally optimal sequence in polynomial time. The effectiveness of the proposed technique in the presence of a variety of visual transformations including occlusion, articulation and deformation of parts, shadow and highlights, viewpoint variation, and boundary perturbations is demonstrated. Indexing into two separate databases of roughly 100 shapes results in accuracy for top three matches and for the next three matches.","PeriodicalId":72022,"journal":{"name":"... IEEE International Conference on Computer Vision workshops. IEEE International Conference on Computer Vision","volume":"3 1","pages":"755-762"},"PeriodicalIF":0.0,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75950012","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: 305

Comparing Curved-Surface Range Image Segmenters 比较曲面距离图像分割

... IEEE International Conference on Computer Vision workshops. IEEE International Conference on Computer Vision Pub Date : 1998-01-04 DOI: 10.1109/ICCV.1998.710732

M. Powell, K. Bowyer, Xiaoyi Jiang, H. Bunke

引用次数: 64

3D Modeling of Human Lip Motion 人类嘴唇运动的三维建模

... IEEE International Conference on Computer Vision workshops. IEEE International Conference on Computer Vision Pub Date : 1998-01-01 DOI: 10.1109/ICCV.1998.710740

S. Basu, N. Oliver, A. Pentland

引用次数: 12

Using hyperquadrics for shape recovery from range data 利用超二次曲面对距离数据进行形状恢复

... IEEE International Conference on Computer Vision workshops. IEEE International Conference on Computer Vision Pub Date : 1993-05-11 DOI: 10.1109/ICCV.1993.378174

Song Han, Dmitry Goldgof, K. Bowyer

引用次数: 52