Proceedings Second IEEE Workshop on Visual Surveillance (VS'99) (Cat. No.98-89223)最新文献

Monitoring dynamically changing environments by ubiquitous vision system 利用泛在视觉系统监测动态变化的环境

Proceedings Second IEEE Workshop on Visual Surveillance (VS'99) (Cat. No.98-89223) Pub Date : 1999-06-26 DOI: 10.1109/VS.1999.780270

Kim C. Ng, Hiroshi Ishiguro, Mohan M. Trivedi, T. Sogo

引用次数: 47

A Bayesian approach to human activity recognition 人类活动识别的贝叶斯方法

Proceedings Second IEEE Workshop on Visual Surveillance (VS'99) (Cat. No.98-89223) Pub Date : 1999-06-26 DOI: 10.1109/VS.1999.780265

A. Madabhushi, J. Aggarwal

引用次数: 106

Using models to recognise man-made objects 利用模型识别人造物体

Proceedings Second IEEE Workshop on Visual Surveillance (VS'99) (Cat. No.98-89223) Pub Date : 1999-06-26 DOI: 10.1109/VS.1999.780266

A. L. Reno, D. Booth

引用次数: 10

Multi-view calibration from planar motion for video surveillance 基于平面运动的视频监控多视点标定

Proceedings Second IEEE Workshop on Visual Surveillance (VS'99) (Cat. No.98-89223) Pub Date : 1999-06-26 DOI: 10.1109/VS.1999.780269

C. Jaynes

{"title":"Multi-view calibration from planar motion for video surveillance","authors":"C. Jaynes","doi":"10.1109/VS.1999.780269","DOIUrl":"https://doi.org/10.1109/VS.1999.780269","url":null,"abstract":"We present a technique for the registration of multiple surveillance cameras through the automatic alignment of image trajectories. The algorithm address the problem of recovering the relative pose of several stationary cameras that observe one or more objects in motion. Each camera tracks several objects to produce a set of trajectories in the image. Using a simple calibration procedure, we recover the relative orientation of each camera to the local ground plane in order to projectively unwarp image trajectories onto a nominal plane of correct orientation. Unwarped trajectory curves are then matched by solving for the 3D to 3D rotation, translation, and scale that bring them into alignment. The relative transform between a pair of cameras is derived from the independent camera-to-ground-plane rotations and the plane-to-plane transform computed from matched trajectories. Registration aligns n-cameras with respect to each other in a single camera frame (that of the reference camera). The approach recovers both the epipolar geometry between all cameras and the camera-to-ground rotation for each camera. After calibration, points that are known to lay on a world ground plane can be directly backprojected into each of the camera frames. The algorithm is demonstrated for two-camera and three-camera scenarios by tracking pedestrians as they move through a surveillance area and matching the resulting trajectories.","PeriodicalId":371192,"journal":{"name":"Proceedings Second IEEE Workshop on Visual Surveillance (VS'99) (Cat. No.98-89223)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124581378","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: 21

Frame-rate omnidirectional surveillance and tracking of camouflaged and occluded targets 伪装和遮挡目标的帧率全向监视和跟踪

Proceedings Second IEEE Workshop on Visual Surveillance (VS'99) (Cat. No.98-89223) Pub Date : 1999-06-26 DOI: 10.1109/VS.1999.780268

Terrance E. Boult, R. Micheals, X. Gao, P. Lewis, C. Power, Weihong Yin, A. Erkan

{"title":"Frame-rate omnidirectional surveillance and tracking of camouflaged and occluded targets","authors":"Terrance E. Boult, R. Micheals, X. Gao, P. Lewis, C. Power, Weihong Yin, A. Erkan","doi":"10.1109/VS.1999.780268","DOIUrl":"https://doi.org/10.1109/VS.1999.780268","url":null,"abstract":"Video surveillance involves watching an area for significant events. Perimeter security generally requires watching areas that afford trespassers reasonable cover and concealment. By definition, such \"interesting\" areas have limited visibility. Furthermore, targets of interest generally attempt to conceal themselves within the cover sometimes adding camouflage to further reduce their visibility. Such targets are only visible \"while in motion\". The combined result of limited visibility distance and target visibility severely reduces the usefulness of any panning-based approach. As a result, these situations call for a wide field of view, and are a natural application for omni-directional VSAM (video surveillance and monitoring). This paper describes an omni-directional tracking system. After motivating its use, we discuss some domain application constraints and background on the paracamera. We then go through the basic components of the frame-rate Lehigh Omni-directional Tracking System (LOTS) and describe some of its unique features. In particular, the system's combined performance depends on novel adaptive multi-background modeling and a novel quasi-connected-components technique. These key components are described in some detail, while other components are summarized. We end with a summary of an external evaluation of the system.","PeriodicalId":371192,"journal":{"name":"Proceedings Second IEEE Workshop on Visual Surveillance (VS'99) (Cat. No.98-89223)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128933843","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: 134

The analysis of human motion and its application for visual surveillance 人体运动分析及其在视觉监控中的应用

Proceedings Second IEEE Workshop on Visual Surveillance (VS'99) (Cat. No.98-89223) Pub Date : 1999-06-26 DOI: 10.1109/VS.1999.780260

D.M. Gavrilla

引用次数: 28

Video surveillance of interactions 互动视频监控

Proceedings Second IEEE Workshop on Visual Surveillance (VS'99) (Cat. No.98-89223) Pub Date : 1999-06-26 DOI: 10.1109/VS.1999.780272

Y. Ivanov, C. Stauffer, A. Bobick, W. Grimson

引用次数: 121

Robust person tracking in real scenarios with non-stationary background using a statistical computer vision approach 基于统计计算机视觉的非平稳背景下真实场景鲁棒人跟踪

Proceedings Second IEEE Workshop on Visual Surveillance (VS'99) (Cat. No.98-89223) Pub Date : 1999-06-26 DOI: 10.1109/VS.1999.780267

G. Rigoll, B. Winterstein, S. Muller

{"title":"Robust person tracking in real scenarios with non-stationary background using a statistical computer vision approach","authors":"G. Rigoll, B. Winterstein, S. Muller","doi":"10.1109/VS.1999.780267","DOIUrl":"https://doi.org/10.1109/VS.1999.780267","url":null,"abstract":"This paper presents a novel approach to robust and flexible person tracking using an algorithm that combines two powerful stochastic modeling techniques: The first one is the technique of so-called Pseudo-2D Hidden Markov Models (P2DHMMs) used for capturing the shape of a person with an image frame, and the second technique is the well-known Kalman-filtering algorithm, that uses the output of the P2DHMM for tracking the person by estimation of a bounding box trajectory indicating the location of the person within the entire video sequence. Both algorithms are cooperating together in an optimal way, and with this cooperative feedback, the proposed approach even makes the tracking of persons possible in the presence of background motions, for instance caused by moving objects such as cars, or by camera operations as, for example, panning or zooming. We consider this as major advantage compared to most other tracking algorithms that are mostly not capable of dealing with background motion. Furthermore, the person to be tracked is not required to wear special equipment (e.g. sensors) or special clothing. We therefore believe that our proposed algorithm is among the first approaches capable of handling such a complex tracking problem. Our results are confirmed by several tracking examples in real scenarios, shown at the end of the paper and provided on the web server of our institute.","PeriodicalId":371192,"journal":{"name":"Proceedings Second IEEE Workshop on Visual Surveillance (VS'99) (Cat. No.98-89223)","volume":"31 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114018164","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: 15

A real-time system for monitoring of cyclists and pedestrians 一个实时监控骑自行车和行人的系统

Proceedings Second IEEE Workshop on Visual Surveillance (VS'99) (Cat. No.98-89223) Pub Date : 1999-06-26 DOI: 10.1109/VS.1999.780271

J. Heikkilä, O. Silvén

引用次数: 329

Multi-camera colour tracking 多摄像机彩色跟踪

Proceedings Second IEEE Workshop on Visual Surveillance (VS'99) (Cat. No.98-89223) Pub Date : 1999-06-26 DOI: 10.1109/VS.1999.780264

J. Orwell, Paolo Remagnino, Graeme A. Jones

引用次数: 53