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129
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ROBOCUP
2007
Springer
180views Robotics» more  ROBOCUP 2007»
15 years 9 months ago
Improving Robot Self-localization Using Landmarks' Poses Tracking and Odometry Error Estimation
In this article the classical self-localization approach is improved by estimating, independently from the robot’s pose, the robot’s odometric error and the landmarks’ poses....
Pablo Guerrero, Javier Ruiz-del-Solar
114
Voted
ICCV
2007
IEEE
15 years 10 months ago
Interactive Feedback for Video Tracking Using a Hybrid Maximum Likelihood Similarity Measure
In this article, we present an object tracking system which allows interactive user feedback to improve the accuracy of the tracking process in real-time video. In addition, we des...
Ard Oerlemans, Bart Thomee
162
Voted
CLOR
2006
15 years 7 months ago
Sequential Learning of Layered Models from Video
Abstract. A popular framework for the interpretation of image sequences is the layers or sprite model, see e.g. [1], [2]. Jojic and Frey [3] provide a generative probabilistic mode...
Michalis K. Titsias, Christopher K. I. Williams
123
Voted
CVIU
2006
166views more  CVIU 2006»
15 years 3 months ago
Non-parametric and light-field deformable models
Statistical shape-and-texture appearance models use image morphing to define a rich, compact representation of object appearance. They are useful in a variety of applications incl...
Chris Mario Christoudias, Louis-Philippe Morency, ...
151
Voted
ICRA
2010
IEEE
164views Robotics» more  ICRA 2010»
15 years 2 months ago
Boundary detection based on supervised learning
— Detecting the boundaries of objects is a key step in separating foreground objects from the background, which is useful for robotics and computer vision applications, such as o...
Kiho Kwak, Daniel F. Huber, Jeongsook Chae, Takeo ...