Abandoned object detection using multi-layer motion detection

Denman, Simon, Chandran, Vinod, & Sridharan, Sridha (2008) Abandoned object detection using multi-layer motion detection. In Wysocki, Beata J. & Wysocki, Tadeusz A. (Eds.) Proceedings of International Conference on Signal Processing and Communication Systems 2007, DSP for Communication Systems, Radisson Resort, Gold Coast, Queensland, pp. 439-448.

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Abandoned object detection (AOD) systems are required to run in high traffic situations, with high levels of occlusion. Systems rely on background segmentation techniques to locate abandoned objects, by detecting areas of motion that have stopped. This is often achieved by using a medium term motion detection routine to detect long term changes in the background. When AOD systems are integrated into person tracking system, this often results in two separate motion detectors being used to handle the different requirements. We propose a motion detection system that is capable of detecting medium term motion as well as regular motion. Multiple layers of medium term (static) motion can be detected and segmented. We demonstrate the performance of this motion detection system and as part of an abandoned object detection system.

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ID Code: 31324
Item Type: Conference Paper
Refereed: Yes
Additional Information: The contents of that proceedings can be freely accessed via the conference website (see Official URL).
Additional URLs:
Keywords: Motion Segmentation, Abandoned Object Detection
ISBN: 9780975693445
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2007 DSP for Communication Systems
Deposited On: 15 Mar 2010 23:28
Last Modified: 21 Dec 2016 03:01

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