Simultaneous 3D Tracking and Reconstruction of Multiple Moving Rigid Objects

Abstract

Most SLAM works based on the assumption of static scene, so localization of the camera and mapping of the scene can fail and lose accuracy of the scene, including moving objects. This paper presents a method for simultaneous mapping of moving objects in the target scene and localization of the moving camera, based on geometrical segmentation of each temporal frame. Taking advantage of segmentation of the target scene, using only the geometric structure of the scene, our method can estimate relative pose for camera and every geometrically segmented areas even without recognizing each object. For confirming the effectiveness of the proposed method, we experimentally show that our method can estimate relative poses for all segmented areas in the scene, so that we can achieve SLAM for the scene, including multiple moving objects.