Open AccessA Time-Consistent Video Segmentation Algorithm Designed for Real-Time Implementation
Author(s) -
Mohammed El Hassani,
Stéphanie JehanBesson,
Luc Brun,
Marinette Revenu,
Marc Duranton,
David Tschumperlé,
Delphine Rivasseau
Publication year - 2008
Publication title -
vlsi design
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.123
H-Index - 24
eISSN - 1065-514X
pISSN - 1026-7123
DOI - 10.1155/2008/892370
Subject(s) - segmentation , computer science , artificial intelligence , computer vision , scale space segmentation , frame (networking) , image segmentation , pixel , process (computing) , segmentation based object categorization , set (abstract data type) , consistency (knowledge bases) , minimum spanning tree based segmentation , algorithm , pattern recognition (psychology) , telecommunications , programming language , operating system
We propose a time-consistent video segmentation algorithm designed for real-time implementation.Our algorithm is based on a region merging process that combines both spatial and motion information. The spatial segmentation takes benefit of an adaptive decision rule and a specific order of merging. Our method has proven to be efficient for the segmentation of natural images with few parameters to be set.Temporal consistency of the segmentation is ensured by incorporating motion information through the use of an improved change-detection mask. This mask is designed using both illumination differences between frames and region segmentation of the previous frame. By considering both pixel and region levels, we obtain a particularly efficient algorithm at a low computational cost, allowing its implementation in real-time on the TriMedia processor for CIF image sequences
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