Title :
Detection of non-uniform motion in image sequences using a reduced order likelihood ratio test
Author :
Foster, George J. ; Namazi, Nader M.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Catholic Univ. of America, Washington, DC, USA
Abstract :
We present a binary hypothesis test to detect moving pixels in an image sequence that requires less computation than previous methods while maintaining a comparable level of performance. We provide a detailed description of the assumptions required to simplify the test and an example that demonstrates its effectiveness
Keywords :
Bayes methods; image motion analysis; image sequences; binary hypothesis test; image sequences; moving pixels detection; noisy images; nonuniform motion detection; performance; reduced order Bayes test; reduced order likelihood ratio test; Compression algorithms; Image sequences; Image storage; Motion detection; Motion estimation; Pixel; Real time systems; Target tracking; Testing; Yield estimation;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.900941
