Phase diffusion for the synchronization of heterogenous sensor streams

Published

Journal Article

The analysis of complex human activity typically requires multiple sensors: cameras that take videos from different directions and in different areas, microphones, proximity sensors, range finders, and more. Scenarios where it is not possible to associate reliable clocks to each of the sensors pose a synchronization problem between heterogeneous data streams. In this paper, we propose a new theoretical framework for measuring the synchrony between heterogenous sensor streams. The main idea is to model the phase disparity between two data streams explicitly as an Ornstein-Uhlenbeck random process. Based on this model, we derive a simple method for synchronizing of underlying sources. We illustrate the ideas with experiments on audio-visual synchronization and human motion categorization, and report promising results. ©2009 IEEE.

Full Text

Duke Authors

Cited Authors

  • Gu, S; Tomasi, C

Published Date

  • September 23, 2009

Published In

Start / End Page

  • 1841 - 1844

International Standard Serial Number (ISSN)

  • 1520-6149

Digital Object Identifier (DOI)

  • 10.1109/ICASSP.2009.4959965

Citation Source

  • Scopus