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2013 IEEE 24th International Conference on Application-Specific Systems, Architectures and Processors (2007)
Montreal, QC, Canada
July 9, 2007 to July 11, 2007
ISBN: 978-1-4244-1026-2
pp: 12-17
Arnaud Verdant , CEA/LETI, Centre de Grenoble, 17 rue des Martyrs, 38054 Cedex 9, France
Antoine Dupret , Institut d¿Electronique Fondamentale, Bâtiment 220, Université de Paris 11, 91405 Orsay Cedex, France
Herve Mathias , Institut d¿Electronique Fondamentale, Bâtiment 220, Université de Paris 11, 91405 Orsay Cedex, France
Patrick Villard , CEA/LETI, Centre de Grenoble, 17 rue des Martyrs, 38054 Cedex 9, France
Lionel Lacassagne , Institut d¿Electronique Fondamentale, Bâtiment 220, Université de Paris 11, 91405 Orsay Cedex, France
ABSTRACT
Video surveillance aims at detecting unexpected individuals or objects intrusion. When no motion is observed, common motion detection systems induce huge power consumption, regardless of the scene activity. This paper presents algorithms for low power motion detection, and their possible implementation. The main interest is that they are able to adapt the sensor’s acuity according to the scene activity. Relevant motion information can be extracted from images with lowered spatial and temporal resolution, with specific algorithms. By reducing the amount of data to analyze and spatial and temporal redundancy, a drastic reduction of power consumption can be achieved.
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CITATION
Arnaud Verdant, Antoine Dupret, Herve Mathias, Patrick Villard, Lionel Lacassagne, "Low power motion detection with low spatial and temporal resolution for CMOS image sensor", 2013 IEEE 24th International Conference on Application-Specific Systems, Architectures and Processors, vol. 00, no. , pp. 12-17, 2007, doi:10.1109/ASAP.2007.4429951
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