DocumentCode
1749884
Title
Robust segmentation and representation of foreground key regions in video sequences
Author
Hidalgo, Javier Ruiz ; Salembier, Philippe
Author_Institution
Univ. Politecnica de Catalunya, Barcelona, Spain
Volume
3
fYear
2001
fDate
2001
Firstpage
1565
Abstract
This paper deals with the extraction and characterization of foreground objects in video sequences. The algorithm first computes the mosaic image representing the background information and then extracts foreground objects. In this last step, the foreground objects are progressively extracted taking into account the reliability of the contour information. This extraction step is based on morphological tools. Finally, the foreground objects are characterized by their shape, texture and motion trajectory. Moreover, some information about the temporal evolution of non rigid objects is also extracted. This feature extraction algorithm is particularly suitable for the indexing, search and retrieval applications
Keywords
feature extraction; image representation; image retrieval; image segmentation; image sequences; image texture; mathematical morphology; motion estimation; video signal processing; background information; contour information reliability; feature extraction algorithm; foreground key-regions; foreground objects; image indexing; image retrieval; image searching; mosaic image; robust 2D motion estimation; temporal evolution; video representation; video segmentation; video sequences.; Data mining; Feature extraction; Image segmentation; Image sequence analysis; Indexing; Multimedia systems; Robustness; Shape; Software libraries; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location
Salt Lake City, UT
ISSN
1520-6149
Print_ISBN
0-7803-7041-4
Type
conf
DOI
10.1109/ICASSP.2001.941232
Filename
941232
Link To Document