General approaches for implementing seamless handover
Proceedings of the second ACM international workshop on Principles of mobile computing
Understanding human behavior from motion imagery
Machine Vision and Applications - Special issue: Human modeling, analysis, and synthesis
Image-based pan-tilt camera control in a multi-camera surveillance environment
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Knowledge Aquisition and Data Storage in Mobile GeoSensor Networks
GeoSensor Networks
Automated visual surveillance in computer vision
AMTA'09 Proceedings of the 10th WSEAS international conference on Acoustics & music: theory & applications
Task-oriented camera assignment in a video network
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Tracking and activity recognition through consensus in distributed camera networks
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
Automated multi-camera planar tracking correspondence modeling
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Modeling Coverage in Camera Networks: A Survey
International Journal of Computer Vision
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Multiple cameras are needed to completely cover an environment for monitoring activity. To track people successfully in multiple perspective imagery, one needs to establish a correspondence between objects captured by multiple cameras. We present a system for tracking people using multiple uncalibrated cameras. The system is able to discover spatial relationships between the cameras' fields of view and to use this information to correspond between different perspective views of the same person. We employ the novel approach of finding the limits of the field of view of a camera that are visible by the other cameras. This helps us to disambiguate between possible candidates of correspondence. The proposed approach is very fast compared to camera calibration-based approaches.