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oaioai:EVASTAR-Karlsruhe.de:1000049448

Efficient Min-cost Flow Tracking with Bounded Memory and Computation

Authors
Publication date
1 January 2015
Publisher
KIT-Bibliothek, Karlsruhe
Doi

    Abstract

    This thesis is a contribution to solving multi-target tracking in an optimal fashion for real-time demanding computer vision applications. We introduce a challenging benchmark, recorded with our autonomous driving platform AnnieWAY. Three main challenges of tracking are addressed: Solving the data association (min-cost flow) problem faster than standard solvers, extending this approach to an online setting, and making it real-time capable by a tight approximation of the optimal solution

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    This paper was published in KITopen.

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