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EVOW
2008
Springer
13 years 7 months ago
Artificial Creatures for Object Tracking and Segmentation
We present a study on the use of soft computing techniques for object tracking/segmentation in surveillance video clips. A number of artificial creatures, conceptually, "inhab...
Luca Mussi, Stefano Cagnoni
ICIP
2000
IEEE
13 years 10 months ago
Partitioning of Video Objects into Temporal Segments Using Local Motion Information
In this paper we propose an algorithm to partition MPEG-4 video objects into temporal segments with uniform activity levels. These segments can be used for efficient summarization...
Berna Erol, Faouzi Kossentini
CIVR
2009
Springer
169views Image Analysis» more  CIVR 2009»
14 years 11 days ago
Exploiting contextual data for event retrieval in surveillance video
Contextual information is vital for the robust extraction of semantic information in automated surveillance systems. We have developed a scene independent framework for the detect...
Philip Kelly, Ciarán O. Conaire, Noel E. O'...
CAIP
2007
Springer
217views Image Analysis» more  CAIP 2007»
13 years 12 months ago
Mixture Models Based Background Subtraction for Video Surveillance Applications
— Background subtraction is a method commonly used to segment objects of interest in image sequences. By comparing new frames to a background model, regions of interest can be fo...
Chris Poppe, Gaëtan Martens, Peter Lambert, R...
ICIP
2006
IEEE
14 years 7 months ago
Region-Based Statistical Background Modeling for Foreground Object Segmentation
This paper proposes a novel region-based scheme for dynamically modeling time-evolving statistics of video background, leading to an effective segmentation of foreground moving ob...
Kristof Op De Beeck, Irene Y. H. Gu, Liyuan Li, Ma...