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» Novelty Detection in Image Sequences with Dynamic Background
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ICIP
2005
IEEE
16 years 1 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 6 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 11 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 11 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 6 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...