SparseSPOT

Abstract

Voxel reconstruction has received increasing interest in recent times, driven by the need for efficient reconstructions of real world scenes from video images. The voxel model has proven useful for activity recognition and motion capture technologies. However most current voxel reconstruction algorithms operate on a fairly small 3-D real world volume and only allow for a single person to be reconstructed. In this paper we present SparseSPOT, an extension of the SPOT voxel reconstruction algorithm, that enables real-time reconstruction of multiple humans within a large environment. We compare SparseSPOT to SPOT and show (by extensive experimental evaluation) that the former achieves superior real time