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