Container spreader pose tracking dataset

This dataset contains image sequences that feature a moving quay crane spreader in a port environment while unloading a container cargo vessel. A container crane spreader is a device that is installed on a crane and used to lift containers after attaching onto them. The sequences were acquired from a viewpoint similar to that of the crane operator using a camera installed next to the operator’s cabin at a height of approximately 20 meters above the quay. The camera thus moves with the crane, resulting in a non-stationary image background. The dataset is organized into several RAR archives, one for each sequence. In addition to the undistorted image frames, it includes for every sequence a text file whose each line consists of the frame id for every image, the spreader’s bounding box and the spreader’s 6D pose (Rodrigues vector for the orientation, and the translation vector). The axis-aligned 2D bounding box is in the format x0 y0 w h where (x0, y0) is the top left corner and w x h its size, all in pixels. The spreader’s pose is defined with respect to the camera coordinate frame. Also included are the camera intrinsics matrix K for each sequence along with a common 3D mesh model for the spreader. The spreader’s mesh model is supplied in PLY format. For a certain image frame, a model vertex M transforms to the camera coordinate system as R*M + t, R and t being the spreader’s pose (R is the equivalent rotation matrix). The homogeneous coordinates of that vertex’s projection on the image frame are K*(R*M + t). The dataset can support research on topics such as object localization, object detection, pose estimation, tracking, etc. If you use this dataset in your research work, you are kindly asked to cite the following paper in your publications: M. Lourakis and M. Pateraki, "Markerless Visual Tracking of a Container Crane Spreader," 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021, pp. 2579-2586, doi: 10.1109/ICCVW54120.2021.00291.

搜集汇总

背景与挑战

背景概述

该数据集是一个用于集装箱起重机吊具位姿跟踪的计算机视觉数据集，包含从起重机操作员视角采集的图像序列，背景非静止，并提供了吊具的边界框、6D位姿、相机内参和3D模型。数据集适用于对象检测、位姿估计和跟踪等研究，由欧洲委员会资助，总大小为25.3 GB。