Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580)最新文献

Classifying facial attributes using a 2-D Gabor wavelet representation and discriminant analysis 基于二维Gabor小波表示和判别分析的人脸属性分类方法

Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580) Pub Date : 2000-03-28 DOI: 10.1109/AFGR.2000.840635

Michael J. Lyons, Julien Budynek, A. Plante, S. Akamatsu

{"title":"Classifying facial attributes using a 2-D Gabor wavelet representation and discriminant analysis","authors":"Michael J. Lyons, Julien Budynek, A. Plante, S. Akamatsu","doi":"10.1109/AFGR.2000.840635","DOIUrl":"https://doi.org/10.1109/AFGR.2000.840635","url":null,"abstract":"A method for automatically classifying facial images is proposed. Faces are represented using elastic graphs labelled with with 2D Gabor wavelet features. The system is trained from examples to classify faces on the basis of high-level attributes, such as sex, \"race\", and expression, using linear discriminant analysis (LDA). Use of the Gabor representation relaxes the requirement for precise normalization of the face: approximate registration of a facial graph is sufficient. LDA allows simple and rapid training from examples, as well as straightforward interpretation of the role of the input features for classification. The algorithm is tested on three different facial image datasets, one of which was acquired under relatively uncontrolled conditions, on tasks of sex, \"race\" and expression classification. Results of these tests are presented. The discriminant vectors may be interpreted in terms of the saliency of the input features for the different classification tasks, which we portray visually with feature saliency maps for node position as well as filter spatial frequency and orientation.","PeriodicalId":360065,"journal":{"name":"Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124976993","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: 176

Facial tracking and animation using a 3D sensor 面部跟踪和动画使用3D传感器

Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580) Pub Date : 2000-03-28 DOI: 10.1109/AFGR.2000.840628

T. Fromherz, B. Takács, E. Hueso, Dimitris N. Metaxas, P. Stucki

引用次数: 0

Video annotation for content-based retrieval using human behavior analysis and domain knowledge 基于人类行为分析和领域知识的基于内容检索的视频注释

Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580) Pub Date : 2000-03-26 DOI: 10.1109/AFGR.2000.840653

H. Miyamori, S. Iisaku

{"title":"Video annotation for content-based retrieval using human behavior analysis and domain knowledge","authors":"H. Miyamori, S. Iisaku","doi":"10.1109/AFGR.2000.840653","DOIUrl":"https://doi.org/10.1109/AFGR.2000.840653","url":null,"abstract":"This paper proposes the automatic annotation of sports video for content-based retrieval. Conventional methods using position information of objects such as locus, relative positions, their transitions, etc., as indices, have drawbacks that tracking errors of a certain object due to occlusions causes recognition failures, and that representation by position information essentially has a limited number of recognizable events in the retrieval. Our approach incorporates human behavior analysis and specific domain knowledge with conventional methods, to develop an integrated reasoning module for richer expressiveness of events and robust recognition. Based on the proposed method, we implemented a content-based retrieval system which can identify several actions on real tennis video. We select court and net lines, players' positions, ball positions, and players' actions, as indices. Court and net lines are extracted using a court model and Hough transforms. Players and ball positions are tracked by adaptive template matching and particular predictions against sudden changes of motion direction. Players' actions are analyzed by 2D appearance-based matching using the transition of players' silhouettes and a hidden Markov model. The results using two sets of tennis video is presented, demonstrating the performance and the validity of our approach.","PeriodicalId":360065,"journal":{"name":"Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115119451","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: 121

Towards model-based gesture recognition 走向基于模型的手势识别

Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580) Pub Date : 2000-03-26 DOI: 10.1109/AFGR.2000.840668

G. Schmidt, D. House

{"title":"Towards model-based gesture recognition","authors":"G. Schmidt, D. House","doi":"10.1109/AFGR.2000.840668","DOIUrl":"https://doi.org/10.1109/AFGR.2000.840668","url":null,"abstract":"We propose a new technique for gesture recognition that involves both physical and control models of gesture performance, and describe preliminary experiments done to validate the approach. The technique incorporates underlying dynamics and control models are used to augment a set of Kalman-filter-based recognizer modules so that each filters the input data under the a priori assumption that one of the gestures is being performed. The recognized gesture is the filter output that most closely matches the output of an unaugmented Kalman filter. In our preliminary experiments, we treated gestures made with simple motions of the right arm, done while tracking only hand position. We modeled the path that the hand traverses while performing a gesture as a point-mass moving through air. The control model for each specific gesture was simply an experimentally determined sequence of applied forces plus a proportional control based on spatial position. Our experiments showed that even using such a simple set of models we were able to obtain results reasonably comparable with a carefully hand-constructed feature-based discriminator on a limited set of spatially-distinct planar gestures.","PeriodicalId":360065,"journal":{"name":"Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127214948","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: 13

Pose invariant face recognition 姿态不变人脸识别

Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580) Pub Date : 2000-03-26 DOI: 10.1109/AFGR.2000.840642

Fu Jie Huang, Tsuhan Chen, Zhi-Hua Zhou, HongJiang Zhang

引用次数: 156

Face detection using mixtures of linear subspaces 使用混合线性子空间的人脸检测

Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580) Pub Date : 2000-03-26 DOI: 10.1109/AFGR.2000.840614

Ming-Hsuan Yang, N. Ahuja, D. Kriegman

{"title":"Face detection using mixtures of linear subspaces","authors":"Ming-Hsuan Yang, N. Ahuja, D. Kriegman","doi":"10.1109/AFGR.2000.840614","DOIUrl":"https://doi.org/10.1109/AFGR.2000.840614","url":null,"abstract":"We present two methods using mixtures of linear sub-spaces for face detection in gray level images. One method uses a mixture of factor analyzers to concurrently perform clustering and, within each cluster, perform local dimensionality reduction. The parameters of the mixture model are estimated using an EM algorithm. A face is detected if the probability of an input sample is above a predefined threshold. The other mixture of subspaces method uses Kohonen's self-organizing map for clustering and Fisher linear discriminant to find the optimal projection for pattern classification, and a Gaussian distribution to model the class-conditioned density function of the projected samples for each class. The parameters of the class-conditioned density functions are maximum likelihood estimates and the decision rule is also based on maximum likelihood. A wide range of face images including ones in different poses, with different expressions and under different lighting conditions are used as the training set to capture the variations of human faces. Our methods have been tested on three sets of 225 images which contain 871 faces. Experimental results on the first two datasets show that our methods perform as well as the best methods in the literature, yet have fewer false detects.","PeriodicalId":360065,"journal":{"name":"Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121879805","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: 120

Robust facial feature localization by coupled features 基于耦合特征的鲁棒人脸特征定位

Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580) Pub Date : 2000-03-26 DOI: 10.1109/AFGR.2000.840604

M. Zobel, A. Gebhard, D. Paulus, Joachim Denzler, H. Niemann

引用次数: 40

Detection and estimation of pointing gestures in dense disparity maps 密集视差图中指向手势的检测与估计

Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580) Pub Date : 2000-03-26 DOI: 10.1109/AFGR.2000.840676

N. Jojic, Thomas S. Huang, B. Brumitt, B. Meyers, Steve Harris

引用次数: 146

Determining correspondences for statistical models of facial appearance 确定面部外观统计模型的对应关系

Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580) Pub Date : 2000-03-26 DOI: 10.1109/AFGR.2000.840646

K. N. Walker, Tim Cootes, C. Taylor

引用次数: 4

A probabilistic framework for rigid and non-rigid appearance based tracking and recognition 一种基于刚性和非刚性外观跟踪和识别的概率框架

Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580) Pub Date : 2000-03-26 DOI: 10.1109/AFGR.2000.840679

F. D. L. Torre, Y. Yacoob, L. Davis

引用次数: 48