Multi-target tracking using social force model in discrete-continuous optimisation framework

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A multi-target tracking algorithm in dense-crowded environments is proposed. Existing global optimisation based multi-target tracking assumes that each pedestrian's motion is independent and shows impressive results in sparse datasets. However, in semi-crowded environments, pedestrians often occlude and interact with each other, making tracking a challenging task. In this reported work, social group behaviour to mitigate ambiguities is considered using the social force model, which is widely used in crowd simulation applications, and the robustness of the proposed method compared to state-of-the-art multi-target tracking in more crowded scenarios is demonstrated.
Publisher
INST ENGINEERING TECHNOLOGY-IET
Issue Date
2013-10
Language
English
Article Type
Article
Citation

ELECTRONICS LETTERS, v.49, no.21, pp.1331 - 1331

ISSN
0013-5194
DOI
10.1049/el.2013.2112
URI
http://hdl.handle.net/10203/212187
Appears in Collection
EE-Journal Papers(저널논문)
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