The Visual Hull Concept for Silhouette-Based Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Photorealistic Scene Reconstruction by Voxel Coloring
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Tracking Hands and Objects for an Intelligent Video Production System
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Human support improvements by natural man-machine collaboration
Proceedings of the international workshop on Human-centered multimedia
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This paper introduces a novel method for object tracking and recognition in assembly work. The purpose of this study is to index instructional videos and to provide appropriate instructions to a user during actual assembly work. Object tracking for this purpose involves a lack of prior knowledge such as an object's shape or color, since objects are often moved, assembled, or even crushed. The clutter present in an environment or environmental changes must also be addressed. For this purpose, we use two or more pairs of image sensors. In this method, an object held by a hand is reliably detected, and its 3D area, that is, its volume and location, are obtained using shape-from-silhouette in real time. The observation of such volume allows the estimation of the changes in an object's state, and can be good indices for the processes of assembly work.