Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
"GrabCut": interactive foreground extraction using iterated graph cuts
ACM SIGGRAPH 2004 Papers
Camera Calibration from Video of a Walking Human
IEEE Transactions on Pattern Analysis and Machine Intelligence
Accurate self-calibration of two cameras by observations of a moving person on a ground plane
AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
Framework for hierarchical calibration of multi-camera systems for teleimmersion
Proceedings of the 2nd International Conference on Immersive Telecommunications
A Direct Method to Self-Calibrate a Surveillance Camera by Observing a Walking Pedestrian
DICTA '09 Proceedings of the 2009 Digital Image Computing: Techniques and Applications
Using pedestrians walking on uneven terrains for camera calibration
Machine Vision and Applications
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The analysis of human motion is an important task in various surveillance applications. Getting 3D information through a calibrated system might enhance the benefits of such analysis. This paper presents a novel technique to automatically recover both intrinsic and extrinsic parameters for each surveillance camera within a camera network by only using a walking human. The same feature points of a pedestrian are taken to calculate each camera's intrinsic parameters and to determine the relative orientations of multiple cameras within a network as well as the absolute positions within a common coordinate system. Experimental results, showing the accuracy and the practicability, are presented at the end of the paper.