A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using Geometric Constraints through Parallelepipeds for Calibration and 3D Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
Camera Calibration from Video of a Walking Human
IEEE Transactions on Pattern Analysis and Machine Intelligence
Self-calibration of environmental camera for mobile robot navigation
Robotics and Autonomous Systems
Camera self-calibration from bivariate polynomial equations and the coplanarity constraint
Image and Vision Computing
Camera Calibration Using Symmetric Objects
IEEE Transactions on Image Processing
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In our previous result, a GPS-enabled (global positioning system) device is incorporated into visual surveillance to provide a novel visual tracking service. A person carried such device can be tracked not only on a digital map, but also in the real-time camera image. However, the approach relies on a calibration method with five calibration points for transforming a GPS coordinate into an image coordinate. It is inconvenient to establish the calibration points. In this paper, an automatic calibration method is proposed to overcome the above drawback. Firstly, the operator in the real-time image is located by matching the GPS trace with those traces of moving objects. After the operator is located, five calibration points can be obtained from a series still-moving behavior. The experimental result shows that the accuracy of the automatic calibration is similar to that of manual calibration.