DocumentCode :
2113078
Title :
Investigating a new visual cue for image motion estimation
Author :
Chen, Wei-ge ; Nandhakumar, N. ; Martin, Worthy N.
Author_Institution :
Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA
Volume :
3
fYear :
1994
fDate :
13-16 Nov 1994
Firstpage :
761
Abstract :
Motion smear is an important visual cue for the human vision system (HVS) to perceive motion. However, in image analysis research, using motion smear as a valuable visual cue for motion estimation has remained largely ignored. Rather, motion smear is usually considered as a degradation on images that need to be removed. A computational model has been established to estimate image motion from motion smear information. Both theoretical derivation and experimental results are provided
Keywords :
image sequences; motion estimation; degradation; human vision system; image analysis research; image motion; image motion estimation; motion smear; visual cue; Algorithm design and analysis; Computational modeling; Computer science; Degradation; Image motion analysis; Image sensors; Linear systems; Machine vision; Motion estimation; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
Type :
conf
DOI :
10.1109/ICIP.1994.413786
Filename :
413786
Link To Document :
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