TY  - GEN
AB  - Motion detection is of utmost importance in several applications such as video surveillance, remote sensing and medical diagnosis, and a large number of algorithms have been proposed for implementation. In this paper we focus on low resources scenarios where standard solutions are inapplicable. We present a novel algorithm that exploits spacial correlation of neighbor pixels in an image to get the most accurate view of the moving scene without increasing computational burden. In conjunction with the proposed algorithm we investigate, to the best of our knowledge for the first time, several background models and update policies, comparing available approaches and exploring trade-offs between complexity and detection capability.
AD  - Politecnico di Torino, Torino, Italy
AD  - Politecnico di Torino, Torino, Italy
AD  - Politecnico di Torino, Torino, Italy
AU  - Dassatti, Alberto
AU  - Masera, Guido
AU  - Piccinini, Gianluca
CY  - Damascus, Syria
DA  - 2008-04
DO  - 10.1109/ICTTA.2008.4530099
DO  - DOI
ID  - 8236
JF  - Proceedings of the 3rd International Conference on Information and Communication Technologies: From Theory to Applications
KW  - Ingénierie
KW  - motion detection
KW  - biosensors
KW  - sensor phenomena and characterization
KW  - video sequences
KW  - remote monitoring
KW  - costs
KW  - radio frequency
KW  - lighting
KW  - very large scale integration
KW  - video surveillance
L1  - https://arodes.hes-so.ch/record/8236/files/Author%20postprint.pdf
L2  - https://arodes.hes-so.ch/record/8236/files/Author%20postprint.pdf
L4  - https://arodes.hes-so.ch/record/8236/files/Author%20postprint.pdf
LA  - eng
LK  - https://arodes.hes-so.ch/record/8236/files/Author%20postprint.pdf
N1  - DASSATTI Alberto est chercheur à la HES-SO, HEIG-VD, depuis 2012.
N2  - Motion detection is of utmost importance in several applications such as video surveillance, remote sensing and medical diagnosis, and a large number of algorithms have been proposed for implementation. In this paper we focus on low resources scenarios where standard solutions are inapplicable. We present a novel algorithm that exploits spacial correlation of neighbor pixels in an image to get the most accurate view of the moving scene without increasing computational burden. In conjunction with the proposed algorithm we investigate, to the best of our knowledge for the first time, several background models and update policies, comparing available approaches and exploring trade-offs between complexity and detection capability.
PB  - 7-11 april 2008
PP  - Damascus, Syria
PY  - 2008-04
SN  - 978-1-4244-1751-3
T1  - Low complexity motion detection with background modeling
TI  - Low complexity motion detection with background modeling
UR  - https://arodes.hes-so.ch/record/8236/files/Author%20postprint.pdf
Y1  - 2008-04
ER  -