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» Synergism in Low Level Vision
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ACCV
1998
Springer
15 years 2 months ago
Optimising the Complete Image Feature Extraction Chain
The hypothesis veri cation stage of the traditional image processing approach, consisting of low, medium, and high level processing, will su er if the set of low level features ext...
Majid Mirmehdi, Phil L. Palmer, Josef Kittler
ROMAN
2007
IEEE
179views Robotics» more  ROMAN 2007»
15 years 4 months ago
A Bayesian Network Framework for Vision Based Semantic Scene Understanding
— For a robot to understand a scene, we have to infer and extract meaningful information from vision sensor data. Since scene understanding consists in recognizing several visual...
Seung-Bin Im, Keum-Sung Hwang, Sung-Bae Clio
ICPR
2008
IEEE
15 years 4 months ago
Intuitive event modeling for personalized behavior monitoring
Behavior understanding and semantic interpretation of dynamic visual scenes have attracted a lot of attention in computer vision research community. Although the use of surveillan...
Ahmed Azough, Alexandre Delteil, Fabien De Marchi,...
ECCV
2000
Springer
15 years 11 months ago
A Probabilistic Background Model for Tracking
A new probabilistic background model based on a Hidden Markov Model is presented. The hidden states of the model enable discrimination between foreground, background and shadow. Th...
Jens Rittscher, Jien Kato, Sébastien Joga, ...
CVPR
1999
IEEE
15 years 11 months ago
Combining Central and Peripheral Vision for Reactive Robot Navigation
In this paper, we present a new method for vision-based, reactive robot navigation that enables a robot to move in the middle of the free space by exploiting both central and peri...
Antonis A. Argyros, Fredrik Bergholm