Computer Vision for Interactive and Intelligent Environment (CVIIE'05)最新文献

Generic Object Recognizer Design 通用对象识别器设计

Computer Vision for Interactive and Intelligent Environment (CVIIE'05) Pub Date : 2005-11-17 DOI: 10.1109/CVIIE.2005.9

J. Mundy

引用次数: 0

Towards Ambient Projection for Intelligent Environments 面向智能环境的环境投影

Computer Vision for Interactive and Intelligent Environment (CVIIE'05) Pub Date : 2005-11-17 DOI: 10.1109/CVIIE.2005.20

Rahul Sukthankar

引用次数: 12

Representing Actions of Objects in Intelligent Environments 智能环境中对象动作的表示

Computer Vision for Interactive and Intelligent Environment (CVIIE'05) Pub Date : 2005-11-17 DOI: 10.1109/CVIIE.2005.17

T. Syeda-Mahmood

引用次数: 0

Integrating Communication with Interaction: Computer Vision Challenges for Interactive and Intelligent Environments 集成通信与交互:交互和智能环境中的计算机视觉挑战

Computer Vision for Interactive and Intelligent Environment (CVIIE'05) Pub Date : 2005-11-17 DOI: 10.1109/CVIIE.2005.10

J. Cooperstock

{"title":"Integrating Communication with Interaction: Computer Vision Challenges for Interactive and Intelligent Environments","authors":"J. Cooperstock","doi":"10.1109/CVIIE.2005.10","DOIUrl":"https://doi.org/10.1109/CVIIE.2005.10","url":null,"abstract":"Interactive, Intelligent Environments involve a convergence of various research themes, including high-fidelity visualization, communication, gestural expression, and virtualized reality systems. Recent advances in real-time acquisition, transmission, and rendering of multimodal data (e.g. audio, video, haptic) allow for the synthesis of significantly improved perceptual representations of a virtual or real (e.g. remote) environment than were previously possible. Furthermore, increased computational power permits the synthesis of a rich responsive media space that responds to a large number of participants engaged in a complex, expressive activity. Unfortunately, current systems tend to concentrate almost exclusively on one aspect or the other, supporting the representation and interaction with a virtual world, or supporting distributed human communication, but never both. The ideal interactive intelligent environment is one that permits effective distributed human-human communication among large numbers of participants at multiple locations, simultaneously with data visualization capabilities and interaction with dynamic, synthetic objects. A significant challenge for the next generation of such environments is to develop the necessary physical infrastructures and software architectures that combine these capabilities appropriately.","PeriodicalId":447061,"journal":{"name":"Computer Vision for Interactive and Intelligent Environment (CVIIE'05)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116428370","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: 1

Calibrating Visual Sensors and Actuators in Distributed Platforms 分布式平台中视觉传感器和执行器的标定

Computer Vision for Interactive and Intelligent Environment (CVIIE'05) Pub Date : 2005-11-17 DOI: 10.1109/CVIIE.2005.2

E. Horster, R. Lienhart, Walter Kellermann, J. Bouguet

{"title":"Calibrating Visual Sensors and Actuators in Distributed Platforms","authors":"E. Horster, R. Lienhart, Walter Kellermann, J. Bouguet","doi":"10.1109/CVIIE.2005.2","DOIUrl":"https://doi.org/10.1109/CVIIE.2005.2","url":null,"abstract":"Many novel multimedia, home entertainment, visual surveillance and health applications use multiple audio-visual sensors and actuators. In this paper we present a novel approach for position and pose calibration of visual sensors and actuators, i.e. cameras and displays, in a distributed network of general purpose computing devices. It complements our work on position calibration of audio sensors and actuators in a distributed computing platform [14]. The approach is suitable for a wide range of possible - even mobile - setups since (a) synchronization is not required, (b) it works automatically, (c) only weak restrictions are imposed on the positions of the cameras and displays, and (d) no upper limit on the number of cameras and displays under calibration is imposed. Corresponding points across different camera images are established automatically and found with subpixel accuracy. Cameras do not have to share one common view. Only a reasonable overlap between camera subgroups is necessary. The method has been sucessfully tested in numerous multi-camera environments with a varying number of cameras and displays and has proven itself to work extremely accurate.","PeriodicalId":447061,"journal":{"name":"Computer Vision for Interactive and Intelligent Environment (CVIIE'05)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124068941","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: 0

Situated Observation of Human Activity 人类活动的情境观察

Computer Vision for Interactive and Intelligent Environment (CVIIE'05) Pub Date : 2005-11-17 DOI: 10.1109/CVIIE.2005.18

J. Crowley

引用次数: 12

Markerless Motion Capture using Multiple Cameras 无标记运动捕捉使用多个摄像头

Computer Vision for Interactive and Intelligent Environment (CVIIE'05) Pub Date : 2005-11-17 DOI: 10.1109/CVIIE.2005.13

A. Sundaresan, R. Chellappa

{"title":"Markerless Motion Capture using Multiple Cameras","authors":"A. Sundaresan, R. Chellappa","doi":"10.1109/CVIIE.2005.13","DOIUrl":"https://doi.org/10.1109/CVIIE.2005.13","url":null,"abstract":"Motion capture has important applications in different areas such as biomechanics, computer animation, and human-computer interaction. Current motion capture methods use passive markers that are attached to different body parts of the subject and are therefore intrusive in nature. In applications such as pathological human movement analysis, these markers may introduce an unknown artifact in the motion, and are, in general, cumbersome. We present computer vision based methods for performing markerless human motion capture. We model the human body as a set of super-quadrics connected in an articulated structure and propose algorithms to estimate the parameters of the model from video sequences. We compute a volume data (voxel) representation from the images and combine bottom-up approach with top down approach guided by our knowledge of the model. We propose a tracking algorithm that uses this model to track human pose. The tracker uses an iterative framework akin to an Iterated Extended Kalman Filter to estimate articulated human motion using multiple cues that combine both spatial and temporal information in a novel manner. We provide preliminary results using data collected from 8-16 cameras. The emphasis of our work is on models and algorithms that are able to scale with respect to the requirement for accuracy. Our ultimate objective is to build an end-to-end system that can integrate the above mentioned components into a completely automated markerless motion capture system.","PeriodicalId":447061,"journal":{"name":"Computer Vision for Interactive and Intelligent Environment (CVIIE'05)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128116616","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: 75

Model-Based 3D Object Tracking Using an Extended-Extended Kalman Filter and Graphics Rendered Measurements 利用扩展-扩展卡尔曼滤波和图形渲染测量的基于模型的3D对象跟踪

Computer Vision for Interactive and Intelligent Environment (CVIIE'05) Pub Date : 2005-11-17 DOI: 10.1109/CVIIE.2005.14

Hua Yang, G. Welch

引用次数: 8

Integrating Motion and Illumination Models for 3D Tracking 整合运动和照明模型的3D跟踪

Computer Vision for Interactive and Intelligent Environment (CVIIE'05) Pub Date : 2005-11-17 DOI: 10.1109/CVIIE.2005.11

A. Roy-Chowdhury, Yilei Xu

{"title":"Integrating Motion and Illumination Models for 3D Tracking","authors":"A. Roy-Chowdhury, Yilei Xu","doi":"10.1109/CVIIE.2005.11","DOIUrl":"https://doi.org/10.1109/CVIIE.2005.11","url":null,"abstract":"One of the persistent challenges in computer vision has been tracking objects under varying lighting conditions. In this paper we present a method for estimation of 3D motion of a rigid object from a monocular video sequence under arbitrary changes in the illumination conditions under which the video was captured. This is achieved by alternately estimating motion and illumination parameters using a generative model for integrating the effects of motion, illumination and structure within a unified mathematical framework. The motion is represented in terms of translation and rotation of the object centroid, and the illumination is represented using a spherical harmonics linear basis. The method does not assume any model for the variation of the illumination conditions - lighting can change slowly or drastically. For the multi-camera tracking scenario, we propose a new photometric constraint that is valid over the overlapping field of view between two cameras. This is similar in nature to the well-known epipolar constraint, except that it relates the photometric parameters, and can provide an additional constraint for illumination invariant multi-camera tracking. We demonstrate the effectiveness of our tracking algorithm on single and multi-camera video sequences under severe changes of lighting conditions.","PeriodicalId":447061,"journal":{"name":"Computer Vision for Interactive and Intelligent Environment (CVIIE'05)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129386620","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: 3

PICO: Privacy through Invertible Cryptographic Obscuration PICO:通过可逆密码模糊来保护隐私

Computer Vision for Interactive and Intelligent Environment (CVIIE'05) Pub Date : 2005-11-17 DOI: 10.1109/CVIIE.2005.16

T. Boult

{"title":"PICO: Privacy through Invertible Cryptographic Obscuration","authors":"T. Boult","doi":"10.1109/CVIIE.2005.16","DOIUrl":"https://doi.org/10.1109/CVIIE.2005.16","url":null,"abstract":"Signifiicant research progress has been made in intelligent imaging systems, surveillance and biometrics improving robustness, increasing performance and decreasing cost. As a result, deployment of surveillance and intelligent video systems is booming and increasing the impact of these on privacy. For many, networked intelligent video systems, especially video surveillance and biometrics, epitomize the invasion of privacy by an Orwellian \"big brother:. While tens of millions in government funding have been spent on research improving video surveillance, virtually none has been invested in technologies to enhance privacy or effectively balance privacy and security. This paper presents an example that demonstrates how using and adapting cryptographic ideas and combining them with intelligent video processing, technological pproaches can provide for solutions addressing these critical trade-offs, potentially improving both security and privacy. After reviewing previous research in privacy improving technology in video systems, the paper then presents cryptographically invertible obscuration. This is an application of encryption techniques to improve the privacy aspects while allowing general surveillance to continue and allowing full access (i.e. violation ofprivacy) only with use of a decryption key, maintained by a court or other thirdparty.","PeriodicalId":447061,"journal":{"name":"Computer Vision for Interactive and Intelligent Environment (CVIIE'05)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122980769","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: 136