Towards a general theory of action and time
Artificial Intelligence
Environment mapping and other applications of world projections
IEEE Computer Graphics and Applications
QuickTime VR: an image-based approach to virtual environment navigation
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
The virtual cinematographer: a paradigm for automatic real-time camera control and directing
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Beating the limitations of camera-monitor mediated telepresence with extra eyes
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Implicit reconstruction by zooming
Computer Vision and Image Understanding
Active Perception
Motion Tracking with an Active Camera
IEEE Transactions on Pattern Analysis and Machine Intelligence
Depth Measurement by the Multi-Focus Camera
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Appearence Sphere: Background Model for Pan-Tilt-Zoom Camera
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Declarative camera control for automatic cinematography
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Towards organic active vision systems for visual surveillance
ARCS'11 Proceedings of the 24th international conference on Architecture of computing systems
Intelligent multi-camera video surveillance: A review
Pattern Recognition Letters
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This paper addresses active image capturing and dynamic scene visualization by Cooperative Distributed Vision (CDV, in short). The concept of CDV was proposed by our five years project starting from 1996. From a practical point of view, the goal of CDV is summarized as follows: Embed in the real world a group of network-connected Observation Stations (real time video image processor with active camera(s)) and mobile robots with vision. And realize 1) wide-area dynamic scene understanding and 2) versatile scene visualization. Applications of CDV include real time wide-area surveillance, remote conference and lecturing systems, interactive 3D TV and intelligent TV studio, navigation of (non-intelligent) mobile robots and disabled people, cooperative mobile robots, and so on. In this paper, we first define the framework of CDV and give a brief retrospective view of the computer vision research to show the background of CDV. Then we present technical research results so far obtained: 1) fixed viewpoint pan-tilt-zoom camera for wide-area active imaging, 2) moving object detection and tracking for reactive image acquisition, 3) multi-viewpoints object imaging by cooperative observation stations, and 4) scenario-based cooperative camera-work planning for dynamic scene visualization. Prototype systems demonstrate the effectiveness and practical utilities of the proposed methods.