Tracking and video surveillance activity analysis

Cheng, Michael F., Pham, Binh L., & Tjondronegoro, Dian W. (2006) Tracking and video surveillance activity analysis. In GRAPHITE '06 Proceedings of the 4th International Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia, Association for Computing Machinery (ACM Press), Kuala Lumpur, Malaysia, pp. 367-373.

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The explosion in the number of cameras surveilling the environment in recent years is generating a need for systems capable of analysing video streams for important events. This paper outlines a system for detecting noteworthy behaviours (from a security or surveillance perspective) which does not involve the enumeration of the event sequences of all possible activities of interest. Instead the focus is on calculating a measure of the abnormality of the action taking place. This raises the need for a low complexity tracking algorithm robust to the noise artefacts present in video surveillance systems. The tracking technique described herein achieves this goal by using a ``future history'' buffer of images and so delaying the classification and tracking of objects by the time quantum which is the buffer size. This allows disambiguation of noise blobs and facilitates classification in the case of occlusions and disappearance of people due to lighting, failures in the background model etc.

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ID Code: 10290
Item Type: Conference Paper
Refereed: Yes
Keywords: tracking, video processing, video surveillance
DOI: 10.1145/1174429.1174491
ISBN: 1595935649
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2006 Association for Computing Machinery
Copyright Statement: Reproduced in accordance with the copyright policy of the publisher.
Deposited On: 22 Oct 2007 00:00
Last Modified: 14 Oct 2013 02:02

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