Title
Robust segmentation and representation of foreground key regions in video sequences
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.
Year
DOI
Venue
2001
10.1109/ICASSP.2001.941232
ICASSP '01). 2001 IEEE International Conference
Keywords
Field
DocType
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.
Background subtraction,Computer vision,Scale-space segmentation,Pattern recognition,Feature detection (computer vision),Image texture,Computer science,Binary image,Image segmentation,Feature extraction,Artificial intelligence,Visual Word
Conference
Volume
ISSN
ISBN
3
1520-6149
0-7803-7041-4
Citations 
PageRank 
References 
2
0.46
12
Authors
2
Name
Order
Citations
PageRank
Hidalgo, J.R.120.46
P. Salembier2126099.56