Tracking multiple people online and in real time

Published

Conference Paper

© Springer International Publishing Switzerland 2015. We cast the problem of tracking several people as a graph partitioning problem that takes the form of an NP-hard binary integer program. We propose a tractable, approximate, online solution through the combination of a multi-stage cascade and a sliding temporal window. Our experiments demonstrate significant accuracy improvement over the state of the art and real-time post-detection performance.

Full Text

Duke Authors

Cited Authors

  • Ristani, E; Tomasi, C

Published Date

  • January 1, 2015

Published In

Volume / Issue

  • 9007 /

Start / End Page

  • 444 - 459

Electronic International Standard Serial Number (EISSN)

  • 1611-3349

International Standard Serial Number (ISSN)

  • 0302-9743

International Standard Book Number 13 (ISBN-13)

  • 9783319168135

Digital Object Identifier (DOI)

  • 10.1007/978-3-319-16814-2_29

Citation Source

  • Scopus