Globally Optimal Solution to Multi-Object Tracking with Merged Measurements
lastmod 2026-11-10created 2017-11-092 edits
Globally Optimal Solution to Multi-Object Tracking with Merged Measurements is an ICCV 2011 paper that formulates multi-object tracking as a network flow problem and finds a globally optimal solution, while explicitly handling cases where several objects overlap and merge into a single detection (merged measurement). The author, Henriques, is also known for the later KCF tracker. This page archives the paper PDF.
Documentation
- Globally Optimal Solution to Multi-Object Tracking with Merged Measurements
- http://www.robots.ox.ac.uk/~joao/publications/henriques_iccv2011.pdf
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Henriques_iccv2011.pdf