Area Based Alarm System using 3D Cameras
(2012) In Master's Theses in Mathematical Sciences FMA820 20122Mathematics (Faculty of Engineering)
- Abstract
- Depth map cameras provide new ways of designing surveillance systems. In this thesis we evaluate three different cameras from two different depth sensor techniques, and propose a complete method for detecting thefts over a counter in a retail environment. Our algorithm covers pre-processing with noise reduction and background segmentation using the reflected signals amplitude as a confidence measurement. A plane is fitted both to the 3D points of the top of the retail counter as well as to the 3D points on the side (cashiers side) of the retail counter. The algorithm determines which foreground pixels are on the wrong side of both these planes. By running this result through a few methods to improve rigidity, we show that it is possible to... (More)
- Depth map cameras provide new ways of designing surveillance systems. In this thesis we evaluate three different cameras from two different depth sensor techniques, and propose a complete method for detecting thefts over a counter in a retail environment. Our algorithm covers pre-processing with noise reduction and background segmentation using the reflected signals amplitude as a confidence measurement. A plane is fitted both to the 3D points of the top of the retail counter as well as to the 3D points on the side (cashiers side) of the retail counter. The algorithm determines which foreground pixels are on the wrong side of both these planes. By running this result through a few methods to improve rigidity, we show that it is possible to detect thefts with a very high detection rate and low false positive rate. Finally we present the results from our testing of different versions on a database of activities with known ground-truth (theft/no theft). (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/3346589
- author
- Kåhrström, Jonatan and Gustafsson, Daniel LU
- supervisor
- organization
- alternative title
- Områdesbaserat alarm med hjälp av 3D kameror
- course
- FMA820 20122
- year
- 2012
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- Image Analysis, Surveillance, 3D cameras, Time of Flight, Structured Light
- publication/series
- Master's Theses in Mathematical Sciences
- report number
- LUTFMA-3233-2012
- ISSN
- 1404-6342
- other publication id
- 2012: E39
- language
- English
- id
- 3346589
- date added to LUP
- 2013-09-20 12:24:01
- date last changed
- 2013-09-20 12:24:01
@misc{3346589, abstract = {{Depth map cameras provide new ways of designing surveillance systems. In this thesis we evaluate three different cameras from two different depth sensor techniques, and propose a complete method for detecting thefts over a counter in a retail environment. Our algorithm covers pre-processing with noise reduction and background segmentation using the reflected signals amplitude as a confidence measurement. A plane is fitted both to the 3D points of the top of the retail counter as well as to the 3D points on the side (cashiers side) of the retail counter. The algorithm determines which foreground pixels are on the wrong side of both these planes. By running this result through a few methods to improve rigidity, we show that it is possible to detect thefts with a very high detection rate and low false positive rate. Finally we present the results from our testing of different versions on a database of activities with known ground-truth (theft/no theft).}}, author = {{Kåhrström, Jonatan and Gustafsson, Daniel}}, issn = {{1404-6342}}, language = {{eng}}, note = {{Student Paper}}, series = {{Master's Theses in Mathematical Sciences}}, title = {{Area Based Alarm System using 3D Cameras}}, year = {{2012}}, }