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» Novelty Detection in Image Sequences with Dynamic Background
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ICIP
2005
IEEE
15 years 11 months ago
Object tracking based on morphological elastic graph matching
This paper presents a novel method for real-time tracking of objects in video sequences. Tracking is performed using the so-called Morphological Elastic Graph Matching algorithm. ...
Georgios N. Stamou, Nikos Nikolaidis, Ioannis Pita...
IBPRIA
2007
Springer
15 years 3 months ago
Synchronization of Video Sequences from Free-Moving Cameras
We present a new method for the synchronization of a pair of video sequences and the spatial registration of all the temporally corresponding frames. This is a mandatory step to pe...
Joan Serrat, Ferran Diego, Felipe Lumbreras, Jos&e...
MVA
2007
179views Computer Vision» more  MVA 2007»
14 years 9 months ago
Multi-object trajectory tracking
The majority of existing tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework using a Hidden Markov Model, where the distribution ...
Mei Han, Wei Xu, Hai Tao, Yihong Gong
BMCBI
2005
70views more  BMCBI 2005»
14 years 9 months ago
Integrating alternative splicing detection into gene prediction
Background: Alternative splicing (AS) is now considered as a major actor in transcriptome/ proteome diversity and it cannot be neglected in the annotation process of a new genome....
Sylvain Foissac, Thomas Schiex
ICRA
2007
IEEE
170views Robotics» more  ICRA 2007»
15 years 4 months ago
Space-time A Contrario Clustering for Detecting Coherent Motions
Abstract— This paper presents a method for detecting independent temporally-persistent motion patterns in image sequences. The result is a description of the dynamic content of a...
Thomas Veit, Frédéric Cao, Patrick B...