DocumentCode :
1291591
Title :
Detection of moving objects in video using a robust motion similarity measure
Author :
Nguyen, Hieu T. ; Worring, Marcel ; Dev, Anuj
Author_Institution :
Fac. of WINS, Amsterdam Univ., Netherlands
Volume :
9
Issue :
1
fYear :
2000
fDate :
1/1/2000 12:00:00 AM
Firstpage :
137
Lastpage :
141
Abstract :
This correspondence deals with the segmentation of a video clip into independently moving visual objects. This is an important step in structuring video data for storage in digital libraries. The method follows a bottom-up approach. The major contribution is a new well-founded measure for motion similarity leading to a robust method for merging regions. The improvements with respect to existing methods have been confirmed by experimental results
Keywords :
digital libraries; image matching; image motion analysis; image segmentation; merging; object detection; video databases; bottom-up approach; content based indexing; digital libraries; independently moving visual objects; motion segmentation; moving object detection; region merging; robust motion similarity measure; video clip segmentation; video database; Computer vision; Image motion analysis; Layout; Merging; Motion measurement; Motion segmentation; Optical sensors; Robustness; Software libraries; Video compression;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/83.817605
Filename :
817605
Link To Document :
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