A Two-Point Method for PTZ Camera Calibration in Sports
2018 IEEE Winter Conference on Applications of Computer Vision (WACV)(2018)
摘要
Calibrating narrow field of view soccer cameras is challenging because there are very few field markings in the image. Unlike previous solutions, we propose a two-point method, which requires only two point correspondences given the prior knowledge of base location and orientation of a pan-tilt-zoom (PTZ) camera. We deploy this new calibration method to annotate pan-tilt-zoom data from soccer videos. The collected data are used as references for new images. We also propose a fast random forest method to predict pan-tilt angles without image-to-image feature matching, leading to an efficient calibration method for new images. We demonstrate our system on synthetic data and two real soccer datasets. Our two-point approach achieves superior performance over the state-of-the-art method.
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关键词
two-point method,PTZ camera calibration,pan-tilt-zoom data,soccer videos,fast random forest method,image-to-image feature,soccer datasets,state-of-the-art method,soccer cameras
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