Camera calibration is a crucial component in the realm of sports analytics as it serves as the
foundation to extract 3D information out of the broadcast images. Despite the significance of …

Recovering the spatial layout of the cameras and the geometry of the scene from extreme-
view images is a longstanding challenge in computer vision. Prevailing 3D reconstruction …

Abstract Artificial Intelligence and IoT have always attracted a lot of attention from scholars
and researchers because of their high applicability, which make them a typical technology of …

We propose a novel camera calibration method for a room-scale multi-view imaging system.
Our key idea is to leverage our articulated body movements as a calibration target. We show …

We introduce and evaluate a novel camera pose estimation framework that uses the human
head as a calibration object. The proposed method facilitates extrinsic calibration from 2D …

In stereo vision systems with dynamically rotating cameras, the accuracy of camera self-
calibration method is reduced due to the interference of space noise and mismatched …

Space exploration missions involve significant participation from astronauts. Therefore, it is
of great practical importance to assess the astronauts' performance via various parameters …

Multi-camera multi-person (MCMP) tracking and re-identification (ReID) are essential tasks
in safety, pedestrian analysis, and so on; however, most research focuses on outdoor …

Camera localisation is an essential task in the field of computer vision. The objective is to
determine the precise position and orientation of one newly introduced camera station …

Cross-view person matching and 3D human pose estimation in multi-camera networks are
particularly difficult when the cameras are extrinsically uncalibrated. Existing efforts …