An Efficient Multiple Object Vision Tracking System using Bipartite Graph Matching

Rowan, Matthew & Maire, Frederic D. (2004) An Efficient Multiple Object Vision Tracking System using Bipartite Graph Matching. In 2004 FIRA Robot World Congress, October 26 ~ 29, 2004, BEXCO, Busan, Korea.


For application domains like 11 vs. 11 robot soccer league, crowd surveillance and air traffic control, vision systems need to be able to identify and maintain information in real time about multiple objects as they move through an environment using video images. In this paper, we reduce the multi-object tracking problem to a bipartite graph matching and present efficient techniques that compute the optimal matching in real time. We demonstrate the robustness of our system on a task of tracking indistinguishable objects. One of the advantages of our tracking system is that it requires a much lower frame rate than standard tracking systems to reliably keep track of multiple objects.

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ID Code: 487
Item Type: Conference Paper
Refereed: Yes
Additional Information: Copyright is owned by 2004 FIRA Robot World Congress. Please refer to the website above for more information.
Additional URLs:
Keywords: Multiple object tracking, Bipartite graph matching, Hungarian method, Linear programming
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2004 FIRA Robot World Congress
Deposited On: 26 Oct 2004 00:00
Last Modified: 24 Jun 2017 14:37

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