Using vanishing points for camera calibration
International Journal of Computer Vision
Self-calibration from multiple views with a rotating camera
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Multiple view geometry in computer vision
Multiple view geometry in computer vision
Self-Calibration of Rotating and Zooming Cameras
International Journal of Computer Vision
ViRoom - Low Cost Synchronized Multicamera System and Its Self-calibration
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Critical Motion Sequences for Monocular Self-Calibration and Uncalibrated Euclidean Reconstruction
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
From Video Sequences to Motion Panoramas
MOTION '02 Proceedings of the Workshop on Motion and Video Computing
Self-Calibration of a Camera from Video of a Walking Human
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
A master-slave system to acquire biometric imagery of humans at distance
IWVS '03 First ACM SIGMM international workshop on Video surveillance
Scheduling an active camera to observe people
Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks
Bayesian Autocalibration for Surveillance
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
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Active camera networks have an important role in surveillance systems for forensic analysis. They have the ability to direct the attention to interesting events that occur in the scene. In order to achieve such behavior the cameras in the network use a process known as sensor slaving where at least two cameras are in a master-slave configuration. The master camera monitors a wide area and tracks moving targets in order to provide the positional information to the slave camera, and the slave camera points toward the targets in high resolution. In this paper, we propose a simple method to solve two typical problems that are the basic building blocks to create high level functionality in active camera networks viewing a scene plane: the computation of the world to image homographies and the computation of image to image homographies. The first is used for computing image sensors observation model for sequential target tracking (for example with the Extended Kalman Filter). The second is used for camera slaving. We show how planar mosaic and single view geometry can be used to compute the aforementioned homographies.