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» Variational Inference for Visual Tracking
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CVPR
2009
IEEE
15 years 5 months ago
Learning Visual Flows: A Lie Algebraic Approach
We present a novel method for modeling dynamic visual phenomena, which consists of two key aspects. First, the in- tegral motion of constituent elements in a dynamic scene is ca...
Dahua Lin, W. Eric L. Grimson, John W. Fisher III
MICCAI
2003
Springer
14 years 10 months ago
Visualization of Neural DTI Vector Fields Using Line Integral Convolution
Abstract. Diffusion Tensor Imaging (DTI) provides voxel-wise information related to the local diffusion anisotropy. Recent research efforts have centered around the use of this inf...
Sean C. L. Deoni, B. K. Rutt, Terry M. Peters
ICCV
2009
IEEE
13 years 7 months ago
Structural SVM for visual localization and continuous state estimation
We present an integrated model for visual object localization and continuous state estimation in a discriminative structured prediction framework. While existing discriminative `p...
Catalin Ionescu, Liefeng Bo, Cristian Sminchisescu
ICRA
2010
IEEE
129views Robotics» more  ICRA 2010»
13 years 8 months ago
Improving mutual information-based visual servoing
— In a previous paper [3], we proposed a new way to achieve visual servoing. Rather than minimizing the error between the position of two set of geometric features, we proposed t...
Amaury Dame, Éric Marchand
CVPR
2007
IEEE
14 years 4 months ago
Trajectory Series Analysis based Event Rule Induction for Visual Surveillance
In this paper, a generic rule induction framework based on trajectory series analysis is proposed to learn the event rules. First the trajectories acquired by a tracking system ar...
Zhang Zhang, Kaiqi Huang, Tieniu Tan, Liangsheng W...