Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96最新文献_第3页

3-D real-time gesture recognition using proximity spaces 使用接近空间的三维实时手势识别

Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.572020

E. Huber

{"title":"3-D real-time gesture recognition using proximity spaces","authors":"E. Huber","doi":"10.1109/ACV.1996.572020","DOIUrl":"https://doi.org/10.1109/ACV.1996.572020","url":null,"abstract":"A 3D segment tracking approach to recognition of human pose and gestures is presented. The author has previously developed and refined a stereo based method, called the proximity space method, for acquiring and maintaining the track of object surfaces in 3-space. This method uses LoG filtered images and relies solely on stereo measurement to spatially distinguish between objects in 3D. The objective of the work is to obtain useful state information about the shape, size, and pose of natural (unadorned) objects in their naturally cluttered environments. Thus, the system does not require or benefit from special markers, colors, or other tailored artifacts. Recently he has extended this method in order to track multiple regions and segments of complex objects. The paper describes techniques for applying the proximity space method to a particularly interesting system: the human. Specifically, he discusses the use of simple models for constraining proximity space behavior in order to track gestures as a person moves through a cluttered environment. It is demonstrated that by observing the behavior of the model, used to tract the human's pose through time, different gestures can be easily recognized. The approach is illustrated through a discussion of gestures used to provide logical and spatial commands to a mobile robot.","PeriodicalId":222106,"journal":{"name":"Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114591228","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: 20

Fast range image segmentation using high-level segmentation primitives 使用高级分割原语的快速范围图像分割

Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.572006

Xiaoyi Jiang, Urs Meier, H. Bunke

引用次数: 54

Nonparametric correction of distortion 畸变的非参数校正

Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.572058

D. Stevenson, Margaret M. Fleck

引用次数: 26

Performance evaluation of people tracking systems 人员跟踪系统的绩效评估

Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.571994

G. Pingali, J. Segen

{"title":"Performance evaluation of people tracking systems","authors":"G. Pingali, J. Segen","doi":"10.1109/ACV.1996.571994","DOIUrl":"https://doi.org/10.1109/ACV.1996.571994","url":null,"abstract":"A tracking system outputs a separate motion trajectory for each moving object in a scene. The paper presents a problem of performance evaluation and performance metrics for real time systems that track people, or moving objects, in video sequences, and it proposes performance measurement methodology for such systems. Two approaches to measuring performance are presented. The first approach compares the computed motion trajectories to the reference trajectories. It enables a complete evaluation of tracking results, but reference trajectories it requires are difficult to get. The second, more practical approach identifies in the computed trajectories specific discrete events, such as line crossings, and compares sequences of these events to sequences of reference events, which are much easier to obtain than reference trajectories. These events can usually be chosen such that they reflect the application goal of a tracking system, e.g. counting people in an area. Precision of evaluation increases with density of events. Short event sequences measure the sensitivity and selectivity of a tracking method, i.e. how well it satisfies the \"one person one trajectory\" objective. Long sequences measure continuity of trajectories: how long a method can keep track of one person. The paper shows performance measurement results for a real time people tracking system developed by the authors.","PeriodicalId":222106,"journal":{"name":"Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96","volume":"26 2-4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114028995","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: 45

Robust automatic target recognition in second generation FLIR images 第二代前红外图像鲁棒自动目标识别

Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.572055

D. Nair, J. Aggarwal

引用次数: 12

A machine vision system for the automated classification and counting of neurons in 3-D brain tissue samples 三维脑组织样本中神经元自动分类和计数的机器视觉系统

Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.572059

D. Slater, G. Healey, P. Sheu, C. Cotman, Joseph H. Su, A. Wasserman, W. Shankle

引用次数: 3

Automatic measurement of vertebral shape using active shape models 使用主动形状模型的椎体形状自动测量

Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.572050

P. Smyth, C. Taylor, J. Adams

引用次数: 101

A computer vision system to detect 3-D rectangular solids 用于检测三维矩形实体的计算机视觉系统

Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.571992

Kashi Rao

引用次数: 4

Pose estimation of artificial knee implants in fluoroscopy images using a template matching technique 利用模板匹配技术对透视图像中人工膝关节植入物的姿态估计

Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.572053

W. Hoff, R. Komistek, D. Dennis, S. Walker, E. Northcut, K. Spargo

引用次数: 38

Passive navigation using focus of expansion 被动导航使用焦点展开

Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.572001

A. Branca, E. Stella, A. Distante

引用次数: 13