Novel precision target detection with adaptive thresholding for dynamic image segmentation

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A new adaptive thresholding algorithm concerning extraction of targets from the background in a given image sequence is proposed. The conventional histogram-based or fixed-value thresholdingsare deficient in detecting targets due to the poor contrast between targets and the background, or to the change of illumination. This research solves the problems mentioned above by learning the characteristics of the background from the given images and determines the proper thresholds based on this information. Experiments show that the proposed algorithm is superior to the optimal layering algorithm in target detection and tracking.
Publisher
SPRINGER-VERLAG
Issue Date
2001-03
Language
English
Article Type
Article
Keywords

TRACKING

Citation

MACHINE VISION AND APPLICATIONS, v.12, pp.259 - 270

ISSN
0932-8092
URI
http://hdl.handle.net/10203/78749
Appears in Collection
EE-Journal Papers(저널논문)
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