NDLI: Template matching used in time contextual segmentation

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[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition

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Template matching used in time contextual segmentation

Content Provider	IEEE Xplore Digital Library
Author	Palm, H.C. Ostevold, E. Grinaker, S.
Copyright Year	1992
Description	Author affiliation: Norwegian Defence Res. Establ., Kjeller, Norway (Palm, H.C.; Ostevold, E.; Grinaker, S.)
Abstract	Presents a time contextual segmentation algorithm based on construction of an 'object model' using evidence from several consecutive frames. The aim is to obtain more 'correct' and stable segments in low contrast image sequences. Roughly speaking, for each object to be segmented the algorithm generates an object model as an aggregate of segments derived from the most recent frames. Due to object motion, the frame-to-frame displacement must be determined. This is done by a template matching technique. The segmentation is terminated when the object model has converged to a stable segment. Good results have been obtained in situations where single frame based algorithms due to either low local contrast or partial occlusion, have failed. The method may be implemented for real time applications.
Starting Page	205
Ending Page	208
File Size	336648
Page Count	4
File Format	PDF
ISBN	0818629207
DOI	10.1109/ICPR.1992.201962
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1992-08-30
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Context modeling Aggregates Layout Noise figure
Content Type	Text
Resource Type	Article

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