Object detection using spatio-temporal thresholding in image sequences

An algorithm using spatio-temporal thresholding for object detection with spatio-temporal distance metric in image sequences is proposed. The distance metric consists of the feature which uses the intensity and gradient at the same time in feature level instead of in decision level. In the model update process truncated variable adaptation rate is used, which can control adaptation rate up to its statistics, so it is able to maintain its statistics properly through the whole sequence. Some experimental results in various environments show that the averaged performance of the proposed algorithm is good.
Publisher
INST ENGINEERING TECHNOLOGY-IET
Issue Date
2004-09
Language
ENG
Citation

ELECTRONICS LETTERS, v.40, pp.1109 - 1110

ISSN
0013-5194
DOI
10.1049/el:20045316
URI
http://hdl.handle.net/10203/1691
Appears in Collection
EE-Journal Papers(저널논문)
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