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161
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PAMI
2010
238views more  PAMI 2010»
15 years 3 months ago
Tracking Motion, Deformation, and Texture Using Conditionally Gaussian Processes
—We present a generative model and inference algorithm for 3D nonrigid object tracking. The model, which we call G-flow, enables the joint inference of 3D position, orientation, ...
Tim K. Marks, John R. Hershey, Javier R. Movellan
ICIP
2008
IEEE
15 years 11 months ago
Efficient motion estimation under varying illumination
In this paper, we show how to estimate, accurately and efficiently, the 3D motion of a rigid or non-rigid object, and time-varying lighting in a dynamic scene. This is achieved i...
Yilei Xu, Amit K. Roy Chowdhury
NIPS
2000
15 years 6 months ago
Learning and Tracking Cyclic Human Motion
We present methods for learning and tracking human motion in video. We estimate a statistical model of typical activities from a large set of 3D periodic human motion data by segm...
Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black...
117
Voted
ICCV
2003
IEEE
16 years 6 months ago
Fast Vehicle Detection with Probabilistic Feature Grouping and its Application to Vehicle Tracking
Generating vehicle trajectories from video data is an important application of ITS (Intelligent Transportation Systems). We introduce a new tracking approach which uses model-base...
Zu Whan Kim, Jitendra Malik
138
Voted
ECCV
2008
Springer
16 years 6 months ago
Linking Pose and Motion
Algorithms designed to estimate 3D pose in video sequences enforce temporal consistency but typically overlook an important source of information: The 3D pose of an object, be it r...
Andrea Fossati, Pascal Fua