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  FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation

Lenz, P., Geiger, A., & Urtasun, R. (2015). FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation. In Proceedings IEEE International Conference on Computer Vision (ICCV 2015) (pp. 4364-4372). New York, NY: IEEE. doi:10.1109/ICCV.2015.496.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-1F81-F Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002D-55F0-D
Genre: Conference Paper

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 Creators:
Lenz, Philip1, Author
Geiger, Andreas2, Author           
Urtasun, Raquel1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497642              

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Free keywords: Abt. Black
 Abstract: -

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 Dates: 2015-12
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Lenz2015ICCV
DOI: 10.1109/ICCV.2015.496
 Degree: -

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Title: International Conference on Computer Vision (ICCV 2015)
Place of Event: Santiago, Chile
Start-/End Date: 2015-12-07 - 2015-12-13

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Title: Proceedings IEEE International Conference on Computer Vision (ICCV 2015)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: New York, NY : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 4364 - 4372 Identifier: ISSN: 1550-5499