DocumentCode
1201949
Title
Segmenting simply connected moving objects in a static scene
Author
Bichsel, Martin
Author_Institution
Dept. of Comput. Sci., Zurich Univ., Switzerland
Volume
16
Issue
11
fYear
1994
fDate
11/1/1994 12:00:00 AM
Firstpage
1138
Lastpage
1142
Abstract
A new segmentation algorithm is derived, based on an object-background probability estimate exploiting the experimental fact that the statistics of local image derivatives show a Laplacian distribution. The objects´ simple connectedness is included directly into the probability estimate and leads to an iterative optimization approach that can be implemented efficiently. This new approach avoids early thresholding, explicit edge detection, motion analysis, and grouping
Keywords
image segmentation; iterative methods; optimisation; probability; statistical analysis; Laplacian distribution; iterative optimization approach; local image derivatives; object-background probability estimate; segmentation algorithm; simply connected moving objects; static scene; statistic; Application software; Computer vision; Image edge detection; Image motion analysis; Image segmentation; Iterative methods; Layout; Optical computing; Poisson equations; Probability;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.334396
Filename
334396
Link To Document