799 search results - page 2 / 160 » A computational framework for incremental motion |
ICIP
2000
IEEE
14 years 6 months ago
2000
IEEE
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). ...
CVPR
2004
IEEE
14 years 7 months ago
2004
IEEE
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
IJISTA
2007
13 years 5 months ago
2007
: This paper presents an online learning framework for the behavior of an articulated body by capturing its motion using real-time video. In our proposed framework, supervised lear...
ICCV
2007
IEEE
13 years 11 months ago
2007
IEEE
Abstract. We present a completely autonomous algorithm for the real-time creation of a moving subject’s kinematic model from optical motion capture data and with no a priori info...
ASC
2008
13 years 5 months ago
2008
A dynamic classification using the support vector machine (SVM) technique is presented in this paper as a new `incremental' framework for multiple-classifying video stream da...