多視点視覚システムにおけるカメラ位置・姿勢推定の分散化とその人物追跡システムへの適用

概要

論文の詳細を見る
We propose a distributed automatic method of calibrating cameras for multiple-camera-based vision systems. because manual calibration is a difficult and time-consuming task. However, the data size and computational costs of automatic calibration increase when the number of cameras is increased. We solved these problems by employing a distributed algorithm. With our method, each camera estimates its position and orientation through local computation using observations shared with neighboring cameras. We formulated our method with two kinds of geometrical constraints, an essential matrix and homography. We applied the latter formulation to a human tracking system to demonstrate the effectiveness of our method.
社団法人映像情報メディア学会の論文
2004-11-01