Person tracking and multicamera video retrieval using floor sensors in a ubiquitous environment

Abstract

A system for video retrieval from a ubiquitous environment is presented. Data from pressure-based floor sensors are used as a supplementary input for retrieving video from a large number of cameras. An algorithm based on agglomerative hierarchical clustering is used to segment footpaths of individual persons. Video handover is proposed and two methods are implemented to retrieve video clips and key frame sequences showing a person moving inside the house. The video clips are further segmented according to the actions performed. We evaluate the performance of each stage of retrieval and present the results. The paper concludes with suggestions for improvements, and future directions. © Springer-Verlag Berlin Heidelberg 2005.