Abandoned object detection using multi-layer motion detection
Contribuinte(s) |
Wysocki, Beata J. Wysocki, Tadeusz A. |
---|---|
Data(s) |
2008
|
Resumo |
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. |
Formato |
application/pdf |
Identificador | |
Publicador |
DSP for Communication Systems |
Relação |
http://eprints.qut.edu.au/31324/1/c31324.pdf http://www.dspcs-witsp.com/icspcs_2007/cfp.html DOI:2010007700 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. |
Direitos |
Copyright 2007 DSP for Communication Systems |
Fonte |
Faculty of Built Environment and Engineering; Information Security Institute; School of Engineering Systems |
Palavras-Chave | #080104 Computer Vision #080106 Image Processing #Motion Segmentation #Abandoned Object Detection |
Tipo |
Conference Paper |