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ICIP
2005
IEEE
16 years 8 months ago
Joint feature-spatial-measure space: a new approach to highly efficient probabilistic object tracking
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
Feng Chen, XiaoTong Yuan, ShuTang Yang
ICPR
2006
IEEE
16 years 7 months ago
Planning of Multiple Camera Arrangement for Object Recognition in Parametric Eigenspace
When objects are recognized by using multiple cameras, recognition rates strongly depend on the camera arrangement. In this paper, we propose a new method for planning a multiple ...
Tomokazu Takahashi, Osanori Matsugano, Ichiro Ide,...
ICPR
2008
IEEE
16 years 25 days ago
Object recognition using graph spectral invariants
Graph structures have been proved important in high level-vision since they can be used to represent structural and relational arrangements of objects in a scene. One of the probl...
Bai Xiao, Richard C. Wilson, Edwin R. Hancock
IROS
2007
IEEE
204views Robotics» more  IROS 2007»
16 years 21 days ago
Robot painter: from object to trajectory
– This paper presents visual perception discovered in high-level manipulator planning for a robot to reproduce the procedure involved in human painting. First, we propose a techn...
Miti Ruchanurucks, Shunsuke Kudoh, Koichi Ogawara,...
SIBGRAPI
2007
IEEE
16 years 20 days ago
Graph-based Object Tracking Using Structural Pattern Recognition
This paper proposes a model-based methodology for recognizing and tracking objects in digital image sequences. Objects are represented by attributed relational graphs (or ARGs), w...
Ana Beatriz V. Graciano, Roberto Marcondes Cesar J...