We present a new motion estimation framework and apply it to omni-directional imagery. Our method estimates motions incrementally using an Implicit Extended Kalman Filter (IEKF). ...
Most pose (3D position and 3D orientation) tracking methods using vision require a priori knowledge about the environment and correspondences between 3D environment features and 2...
We study the beneficial effect of side information on the Structure from Motion (SfM) estimation problem. The side information that we consider is measurement of a `reference vect...
Motion detection and estimation are known to be important in many automated surveillance systems. It has drawn significant research interest in the field of computer vision. This ...
The complexity of dynamical laws governing 3D atmospheric flows associated to incomplete and noisy observations makes very difficult the recovery of atmospheric dynamics from sate...