Automatic Camera Network Localization using Object Image Tracks

Camera networks are being used in more applications as different types of sensor networks are used to instrument large spaces. Here we show a method for localizing the cameras in a camera network to recover the orientation and position up to scale of each camera, even when cameras are wide-baseline...

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Bibliographic Details
Main Authors: Meingast, M., Songhwai Oh, Sastry, S.
Format: Conference Proceeding
Language:English
Subjects:
Application software
Calibration
Computer science
Head
Humans
Image sensors
Instruments
Layout
Light sources
Smart cameras
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Description
Summary:Camera networks are being used in more applications as different types of sensor networks are used to instrument large spaces. Here we show a method for localizing the cameras in a camera network to recover the orientation and position up to scale of each camera, even when cameras are wide-baseline or have different photometric properties. Using moving objects in the scene, we use an intra-camera step and an inter-camera step in order to localize. The intra-camera step compares frames from a single camera to build the tracks of the objects in the image plane of the camera. The inter-camera step uses these object image tracks from each camera as features for correspondence between cameras. We demonstrate this idea on both simulated and real data.
ISSN:1550-5499
2380-7504
DOI:10.1109/ICCV.2007.4409214