Title :
Motion detection: Fast and robust algorithms for embedded systems
Author :
Lacassagne, L. ; Manzanera, A. ; Dupret, A.
Author_Institution :
IEF/AXIS, Univ. Paris Sud, Paris, France
Abstract :
This article introduces a new hierarchical version of a set of motion detection algorithms called ¿¿. These new algorithms are designed to preserve as much as possible the computational efficiency of the basic ¿¿ estimation, in order to target real-time implementation for low power consumption processors and embedded systems.
Keywords :
embedded systems; filtering theory; image motion analysis; image sequences; microprocessor chips; object detection; embedded systems; image sequence; low power consumption processors; motion detection algorithm; sigma-delta filtering; ¿¿ estimation; Algorithm design and analysis; Computational efficiency; Embedded system; Layout; Motion detection; Partitioning algorithms; Pixel; Real time systems; Robustness; Video surveillance; Embedded systems; Motion detection; Real-Time implementation; Sigma-Delta filtering;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5413946
