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Abstract
In this paper we extend the minimum-cost network flow approach to multi-target tracking, by incorporating a motion model, allowing the tracker to better cope with longterm occlusions and missed detections. In our new method, the tracking problem is solved iteratively: Firstly, an initial tracking solution is found without the help of motion information. Given this initial set of tracklets, the motion at each detection is estimated, and used to refine the tracking solution.
Finally, special edges are added to the tracking graph, allowing a further revised tracking solution to be found, where distant tracklets may be linked based on motion similarity. Our system has been tested on the PETS S2.L1 and Oxford town-center sequences, outperforming the baseline system, and achieving results comparable with the current state of the art.
Finally, special edges are added to the tracking graph, allowing a further revised tracking solution to be found, where distant tracklets may be linked based on motion similarity. Our system has been tested on the PETS S2.L1 and Oxford town-center sequences, outperforming the baseline system, and achieving results comparable with the current state of the art.
Original language | English |
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Title of host publication | 2015 IEEE Winter Conference on Applications of Computer Vision (WACV) |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 71-77 |
Number of pages | 7 |
ISBN (Print) | 978-1-4799-6682-0 |
DOIs | |
Publication status | Published - 06 Jan 2015 |
Event | WACV 2015: IEEE Winter Conference on Applications of Computer Vision - Hawaii, Waikoloa Beach, United States Duration: 06 Jan 2015 → 09 Jan 2015 |
Conference
Conference | WACV 2015: IEEE Winter Conference on Applications of Computer Vision |
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Country/Territory | United States |
City | Waikoloa Beach |
Period | 06/01/2015 → 09/01/2015 |
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Dive into the research topics of 'Enhancing Linear Programming with Motion Modeling for Multi-target Tracking'. Together they form a unique fingerprint.Projects
- 1 Finished
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R1118ECI: Centre for Secure Information Technologies (CSIT)
McCanny, J. V. (PI), Cowan, C. (CoI), Crookes, D. (CoI), Fusco, V. (CoI), Linton, D. (CoI), Liu, W. (CoI), Miller, P. (CoI), O'Neill, M. (CoI), Scanlon, W. (CoI) & Sezer, S. (CoI)
01/08/2009 → 30/06/2014
Project: Research