Improved algorithms for synchronizing computer network clocks
IEEE/ACM Transactions on Networking (TON)
Chameleon: A Software Infrastructure for Adaptive Fault Tolerance
IEEE Transactions on Parallel and Distributed Systems
Looking at People: Sensing for Ubiquitous and Wearable Computing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Software mode changes for continuous motion tracking
IWSAS' 2000 Proceedings of the first international workshop on Self-adaptive software
Guest Editor's Introduction: Creating Robust Software through Self-Adaptation
IEEE Intelligent Systems
Control Theory-Based Foundations of Self-Controlling Software
IEEE Intelligent Systems
W4S: A real-time system detecting and tracking people in 2 1/2D
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Panoramic Virtual Stereo Vision of Cooperative Mobile Robots for Localizing 3D Moving Objects
OMNIVIS '00 Proceedings of the IEEE Workshop on Omnidirectional Vision
Monitoring Dynamically Changing Environments by Ubiquitous Vision System
VS '99 Proceedings of the Second IEEE Workshop on Visual Surveillance
Human Tracking Using Distributed Vision Systems
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Maintaining the time in a distributed system
ACM SIGOPS Operating Systems Review
Containment units: a hierarchically composable architecture for adaptive systems
Proceedings of the 10th ACM SIGSOFT symposium on Foundations of software engineering
Containment units: a hierarchically composable architecture for adaptive systems
ACM SIGSOFT Software Engineering Notes
Computer Vision and Image Understanding
Real-time cooperative multi-target tracking by communicating active vision agents
Computer Vision and Image Understanding
Centralized and Distributed Multi-view Correspondence
International Journal of Computer Vision
Real-time cooperative multi-target tracking by communicating active vision agents
Computer Vision and Image Understanding
A software architecture for distributed visual tracking in a global vision localization system
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
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In recent years, distributed computer vision has gained a lot of attention within the computer vision community for applications such as video surveillance and object tracking. The collective information gathered by multiple cameras that are strategically placed has many advantages. For example, aggregation of information from multiple viewpoints reduces the uncertainty about the scene. Further, there is no single point of failure, thus the system as a whole could continue to perform the task at hand. However, the advantages arising out of such cooperation can be realized only by timely sharing of the information between them. This paper discusses the design of a distributed vision system that enables several heterogeneous sensors with different processing rates to exchange information in a timely manner in order to achieve a common goal, say tracking of multiple human subjects and mobile robots in an indoor smart environment.In our fault-tolerant distributed vision system, a resource manager manages individual cameras and buffers the time-stamped object candidates received from them. A User Agent with a given task specification approaches the resource manager, first for knowing the available resources (cameras) and later for receiving the object candidates from the resources of its interest. Thus the resource manager acts as a proxy between the user agents and cameras, thereby freeing the cameras to do dedicated feature detection and extraction only. In such a scenario, many failures are possible. For example, one of the cameras may have a hardware failure or it may lose the target, which moved away from its field of view. In this context, important issues such as failure detection and handling, synchronization of data from multiple sensors and sensor reconfiguration by view planning are discussed in the paper. Experimental results with real scene images will be given.