Loitering behaviour detection of boats at sea

Patino, L. ORCID: https://orcid.org/0000-0002-6716-0629 and Ferryman, J. (2017) Loitering behaviour detection of boats at sea. In: IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 26 July 2017, Honolulu, HI, USA.

Abstract/Summary

We present in this paper a technique for Loitering detection based on the analysis of activity zones of the monitored area. Activity zones are learnt online employing a soft computing-based algorithm which takes as input the trajectory of object mobiles appearing on the scene. Statistical properties on zone occupancy and transition between zones makes it possible to discover abnormalities without the need to learn abnormal models beforehand. We have applied this approch to the PETS2017 IPATCH dataset and addressed the challenge on detecting skiff boats loitering around a protected ship, which eventually is attacked by the skiffs. Our results show that we can detect the suspicious behaviour on time to trigger an early warning.

Item Type	Conference or Workshop Item (Paper)
URI	https://reading-clone.eprints-hosting.org/id/eprint/75243
Item Type	Conference or Workshop Item
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
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