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Tracking multiple people online and in real time

Publication ,  Conference
Ristani, E; Tomasi, C
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
January 1, 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.

Duke Scholars

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

January 1, 2015

Volume

9007

Start / End Page

444 / 459

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
 

Citation

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Ristani, E., & Tomasi, C. (2015). Tracking multiple people online and in real time. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9007, pp. 444–459). https://doi.org/10.1007/978-3-319-16814-2_29
Ristani, E., and C. Tomasi. “Tracking multiple people online and in real time.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9007:444–59, 2015. https://doi.org/10.1007/978-3-319-16814-2_29.
Ristani E, Tomasi C. Tracking multiple people online and in real time. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2015. p. 444–59.
Ristani, E., and C. Tomasi. “Tracking multiple people online and in real time.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9007, 2015, pp. 444–59. Scopus, doi:10.1007/978-3-319-16814-2_29.
Ristani E, Tomasi C. Tracking multiple people online and in real time. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2015. p. 444–459.

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

January 1, 2015

Volume

9007

Start / End Page

444 / 459

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences