In this paper, a new technique for camera calibration using only GPS data is presented. A new way of tracking objects that move on a plane in a video is achieved by using the location and size of the bounding box to estimate the distance, achieving an average prediction error of 5.55m per 100m distance from the camera. This solution can be run in real-time at the edge, achieving efficient inference in a low-powered IoT environment while also being able to track multiple different vessels.
翻译:本文介绍了仅使用全球定位系统数据进行照相校准的新技术,通过使用捆绑盒的位置和大小来估计距离,实现平均预测误差为每100米距离摄像头5.55米/100米。这一解决办法可以在边缘实时运行,在低功率的IoT环境中实现高效推断,同时能够跟踪多条不同的船只,从而在视频中跟踪在平面上移动的物体。