DocumentCode :
2993526
Title :
Detecting motion in out-of-register pictures
Author :
Shvaytser, Haim
Author_Institution :
Dept. of Comput. Sci., Cornell Univ., Ithaca, NY, USA
fYear :
1988
fDate :
5-9 Jun 1988
Firstpage :
696
Lastpage :
701
Abstract :
A novel technique is described that can be applied to a sequence of pictures to detect moving objects and segment them from the stationary background. It does not require the pictures to be in-register, and is suitable for cases where the camera moves while the pictures are taken. Its greatest advantage is the simplicity and efficiency in which it can be implemented. By the use of fast Fourier transforms, the detection of moving objects in a pair of pictures takes about the same computation time as a simple convolution between two pictures of the same size (three Fourier transforms)
Keywords :
fast Fourier transforms; pattern recognition; picture processing; convolution; fast Fourier transforms; motion detection; moving object detection; out-of-register pictures; picture processing; picture sequences; Cameras; Computer science; Fourier transforms; Frequency domain analysis; Layout; Motion detection; Object detection; Registers; TV; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1988. Proceedings CVPR '88., Computer Society Conference on
Conference_Location :
Ann Arbor, MI
ISSN :
1063-6919
Print_ISBN :
0-8186-0862-5
Type :
conf
DOI :
10.1109/CVPR.1988.196310
Filename :
196310
Link To Document :
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