2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance最新文献

Comparison of target detection algorithms using adaptive background models 基于自适应背景模型的目标检测算法比较

2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance Pub Date : 2005-10-15 DOI: 10.1109/VSPETS.2005.1570905

Daniela Hall, J. Nascimento, P. Ribeiro, E. Andrade, Plinio Moreno, S. Pesnel, T. List, R. Emonet, R. Fisher, J. S. Victor, J. Crowley

引用次数: 124

Using SVM for Efficient Detection of Human Motion 基于支持向量机的人体运动检测

2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance Pub Date : 2005-10-15 DOI: 10.1109/VSPETS.2005.1570920

J. Grahn, H. Kjellstromg

引用次数: 7

PETS Metrics: On-Line Performance Evaluation Service PETS指标:在线绩效评估服务

2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance Pub Date : 2005-10-15 DOI: 10.1109/VSPETS.2005.1570931

D. P. Young, J. Ferryman

引用次数: 128

Performance evaluating the evaluator 对评估者进行绩效评估

2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance Pub Date : 2005-10-15 DOI: 10.1109/VSPETS.2005.1570907

T. List, J. Bins, J. Vazquez, R. Fisher

引用次数: 52

A Quantitative Evaluation of Video-based 3D Person Tracking 基于视频的三维人物跟踪的定量评价

2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance Pub Date : 2005-10-15 DOI: 10.1109/VSPETS.2005.1570935

A. O. Balan, L. Sigal, Michael J. Black

{"title":"A Quantitative Evaluation of Video-based 3D Person Tracking","authors":"A. O. Balan, L. Sigal, Michael J. Black","doi":"10.1109/VSPETS.2005.1570935","DOIUrl":"https://doi.org/10.1109/VSPETS.2005.1570935","url":null,"abstract":"The Bayesian estimation of 3D human motion from video sequences is quantitatively evaluated using synchronized, multi-camera, calibrated video and 3D ground truth poses acquired with a commercial motion capture system. While many methods for human pose estimation and tracking have been proposed, to date there has been no quantitative comparison. Our goal is to evaluate how different design choices influence tracking performance. Toward that end, we independently implemented two fairly standard Bayesian person trackers using two variants of particle filtering and propose an evaluation measure appropriate for assessing the quality of probabilistic tracking methods. In the Bayesian framework we compare various image likelihood functions and prior models of human motion that have been proposed in the literature. Our results suggest that in constrained laboratory environments, current methods perform quite well. Multiple cameras and background subtraction, however, are required to achieve reliable tracking suggesting that many current methods may be inappropriate in more natural settings. We discuss the implications of the study and the directions for future research that it entails","PeriodicalId":435841,"journal":{"name":"2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132294163","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: 191

Efficient Hidden Semi-Markov Model Inference for Structured Video Sequences 结构化视频序列的有效隐半马尔可夫模型推断

2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance Pub Date : 2005-10-15 DOI: 10.1109/VSPETS.2005.1570922

David Tweed, Robert B. Fisher, J. Bins, T. List

引用次数: 28

Improving Performance via Post Track Analysis 通过事后跟踪分析提高绩效

2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance Pub Date : 2005-10-15 DOI: 10.1109/VSPETS.2005.1570934

L. Brown, M. Lu, Chiao-Fe Shu, Ying-li Tian, A. Hampapur

引用次数: 3

Discriminant Locality Preserving Projections: A New Method to Face Representation and Recognition 判别保域投影:一种人脸表示与识别的新方法

2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance Pub Date : 2005-10-15 DOI: 10.1109/VSPETS.2005.1570916

Wei-wei Yu, Xiao-long Teng, Chong-qing Liu

引用次数: 10

Illumination and motion-based video enhancement for night surveillance 用于夜间监视的照明和基于运动的视频增强

2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance Pub Date : 2005-10-15 DOI: 10.1109/VSPETS.2005.1570912

Jing Li, S.Z. Li, Q. Pan, Tao Yang

引用次数: 35

Distant targets identification as an on-line dynamic vehicle routing problem using an active-zooming camera 远距离目标识别是一种基于有源变焦摄像机的在线动态车辆路径问题

2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance Pub Date : 2005-10-15 DOI: 10.1109/VSPETS.2005.1570903

A. del Bimbo, F. Pernici

{"title":"Distant targets identification as an on-line dynamic vehicle routing problem using an active-zooming camera","authors":"A. del Bimbo, F. Pernici","doi":"10.1109/VSPETS.2005.1570903","DOIUrl":"https://doi.org/10.1109/VSPETS.2005.1570903","url":null,"abstract":"This paper considers the problem of modeling an active observer to plan a sequence of decisions regarding what target to look at, through a foveal-sensing action. The gathered images by the active observer provides meaningful identification imagery of distant targets which are not recognizable in a wide angle view. We propose a framework in which a pan/tilt/zoom (PTZ) camera schedules saccades in order to acquire high resolution images of as many moving targets as possible before they leave the scene. We cast the whole problem as a particular kind of dynamic discrete optimization, specially as a novel on-line dynamic vehicle routing problem (DVRP) with deadlines. We show that using an optimal choice for the sensing order of targets the total time spent in visiting the targets by the active camera can be significantly reduced. To show the effectiveness of our approach we apply congestion analysis to a dual camera system in a master-slave configuration. We report that our framework gives good results in monitoring wide areas with little extra costs with respect to approaches using a large number of cameras.","PeriodicalId":435841,"journal":{"name":"2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130270455","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